TWL_calcs.ipynb

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    "### Calculate Total Water Level for a range of slopes\n",
    "* Replace time series of water levels plot in _plot_model_and_observations_.\n",
    "* Calculate a bunch of slopes for a range of R2 calcs"
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    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import xarray as xr\n",
    "import pickle\n",
    "from matplotlib import cm\n",
    "from datetime import datetime\n",
    "from pyproj import Transformer"
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    "def calcR2(H, T, slope, igflag=0):\n",
    "    \"\"\"\n",
    "    %\n",
    "    % [R2, S, setup,  Sinc,  SIG,  ir] = calcR2(H, T, slope, igflag);\n",
    "    %\n",
    "    % Calculated 2% runup (R2), swash (S), setup (setup), incident swash (Sinc)\n",
    "    % and infragravity swash (SIG) elevations based on parameterizations from runup paper\n",
    "    % also Iribarren (ir)\n",
    "    % August 2010 - Included 15% runup (R16) statistic that, for a Guassian distribution,\n",
    "    % represents mean+sigma. It is calculated as R16 = setup + swash/4.\n",
    "    % In a wave tank, Palmsten et al (2010) found this statistic represented initiation of dune erosion.\n",
    "    %\n",
    "    %\n",
    "    % H = significant wave height, reverse shoaled to deep water\n",
    "    % T = deep-water peak wave period\n",
    "    % slope = radians\n",
    "    % igflag = 0 (default)use full equation for all data\n",
    "    %        = 1  use dissipative-specific calculations when dissipative conditions exist (Iribarren < 0.3)\n",
    "    %        = 2  use dissipative-specific (IG energy) calculation for all data\n",
    "    %\n",
    "    % based on:\n",
    "    %  Stockdon, H. F., R. A. Holman, P. A. Howd, and J. Sallenger A. H. (2006),\n",
    "    %    Empirical parameterization of setup, swash, and runup,\n",
    "    %    Coastal Engineering, 53, 573-588.\n",
    "    % author: hstockdon@usgs.gov\n",
    "    # Converted to Python by csherwood@usgs.gov\n",
    "    \"\"\"\n",
    "    g = 9.81\n",
    "\n",
    "    # make slopes positive!\n",
    "    slope = np.abs(slope)\n",
    "\n",
    "    # compute wavelength and Iribarren\n",
    "    L = (g*T**2) / (2.*np.pi)\n",
    "    sqHL = np.sqrt(H*L)\n",
    "    ir = slope/sqHL\n",
    "\n",
    "    if igflag == 2:                     # use dissipative equations (IG) for ALL data\n",
    "        R2 = 1.1*(0.039 * sqHL)\n",
    "        S = 0.046*sqHL\n",
    "        setup = 0.016*sqHL\n",
    "\n",
    "    elif igflag == 1 and ir < 0.3:      # if dissipative site use diss equations\n",
    "        R2 = 1.1*(0.039 * sqHL)\n",
    "        S = 0.046*sqHL\n",
    "        setup = 0.016*sqHL\n",
    "\n",
    "    else:                               # if int/ref site, use full equations\n",
    "        setup = 0.35*slope*sqHL\n",
    "        Sinc = 0.75*slope*sqHL\n",
    "        SIG = 0.06*sqHL\n",
    "        S = np.sqrt(Sinc**2 + SIG**2)\n",
    "        R2 = 1.1*(setup + S/2.)\n",
    "        R16 = 1.1*(setup + S/4.)\n",
    "\n",
    "    return R2, S, setup, Sinc, SIG, ir, R16\n",
    "\n"
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 35GB\n",
       "Dimensions:                 (tracer: 4, NST: 3, s_rho: 8, s_w: 9,\n",
       "                             eta_rho: 1057, xi_rho: 1317, eta_u: 1057,\n",
       "                             xi_u: 1316, eta_v: 1056, xi_v: 1317,\n",
       "                             eta_psi: 1056, xi_psi: 1316, ocean_time: 37,\n",
       "                             NVEG: 3, Nbed: 1)\n",
       "Coordinates:\n",
       "  * s_rho                   (s_rho) float64 64B -0.9375 -0.8125 ... -0.0625\n",
       "  * s_w                     (s_w) float64 72B -1.0 -0.875 -0.75 ... -0.125 0.0\n",
       "    lon_rho                 (eta_rho, xi_rho) float64 11MB ...\n",
       "    lat_rho                 (eta_rho, xi_rho) float64 11MB ...\n",
       "    lon_u                   (eta_u, xi_u) float64 11MB ...\n",
       "    lat_u                   (eta_u, xi_u) float64 11MB ...\n",
       "    lon_v                   (eta_v, xi_v) float64 11MB ...\n",
       "    lat_v                   (eta_v, xi_v) float64 11MB ...\n",
       "    lon_psi                 (eta_psi, xi_psi) float64 11MB ...\n",
       "    lat_psi                 (eta_psi, xi_psi) float64 11MB ...\n",
       "  * ocean_time              (ocean_time) datetime64[ns] 296B 2019-09-06T10:15...\n",
       "Dimensions without coordinates: tracer, NST, eta_rho, xi_rho, eta_u, xi_u,\n",
       "                                eta_v, xi_v, eta_psi, xi_psi, NVEG, Nbed\n",
       "Data variables: (12/182)\n",
       "    ntimes                  int32 4B ...\n",
       "    ndtfast                 int32 4B ...\n",
       "    dt                      float64 8B ...\n",
       "    dtfast                  float64 8B ...\n",
       "    dstart                  datetime64[ns] 8B ...\n",
       "    nHIS                    int32 4B ...\n",
       "    ...                      ...\n",
       "    Dwave                   (ocean_time, eta_rho, xi_rho) float32 206MB ...\n",
       "    Pwave_top               (ocean_time, eta_rho, xi_rho) float32 206MB ...\n",
       "    Dissip_fric             (ocean_time, eta_rho, xi_rho) float32 206MB ...\n",
       "    Dissip_break            (ocean_time, eta_rho, xi_rho) float32 206MB ...\n",
       "    Dissip_wcap             (ocean_time, eta_rho, xi_rho) float32 206MB ...\n",
       "    Dissip_roller           (ocean_time, eta_rho, xi_rho) float32 206MB ...\n",
       "Attributes: (12/33)\n",
       "    file:                      ./Output/Dorian_NCB_his_00019.nc\n",
       "    format:                    netCDF-3 64bit offset file\n",
       "    Conventions:               CF-1.4, SGRID-0.3\n",
       "    type:                      ROMS/TOMS history file\n",
       "    title:                     Hurricane Dorian North Core Banks\n",
       "    var_info:                  varinfo.dat\n",
       "    ...                        ...\n",
       "    tiling:                    015x012\n",
       "    history:                   ROMS/TOMS, Version 3.9, Saturday - October 15,...\n",
       "    ana_file:                  ROMS/Functionals/ana_btflux.h, ROMS/Functional...\n",
       "    CPP_options:               COREBANKS, ANA_BPFLUX, ANA_BSFLUX, ANA_BTFLUX,...\n",
       "    EXTRA_DIMENSION.N:         8\n",
       "    EXTRA_DIMENSION.boundary:  4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0ed535a9-ba74-48bf-9949-4bacdb5dd2dc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0ed535a9-ba74-48bf-9949-4bacdb5dd2dc' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>tracer</span>: 4</li><li><span>NST</span>: 3</li><li><span class='xr-has-index'>s_rho</span>: 8</li><li><span class='xr-has-index'>s_w</span>: 9</li><li><span>eta_rho</span>: 1057</li><li><span>xi_rho</span>: 1317</li><li><span>eta_u</span>: 1057</li><li><span>xi_u</span>: 1316</li><li><span>eta_v</span>: 1056</li><li><span>xi_v</span>: 1317</li><li><span>eta_psi</span>: 1056</li><li><span>xi_psi</span>: 1316</li><li><span class='xr-has-index'>ocean_time</span>: 37</li><li><span>NVEG</span>: 3</li><li><span>Nbed</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-db046d51-15ee-46f4-873b-1db13e4ed7df' class='xr-section-summary-in' type='checkbox'  checked><label for='section-db046d51-15ee-46f4-873b-1db13e4ed7df' class='xr-section-summary' >Coordinates: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>s_rho</span></div><div class='xr-var-dims'>(s_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.9375 -0.8125 ... -0.1875 -0.0625</div><input id='attrs-6e22c646-bcc5-4a67-98e2-70528261df05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e22c646-bcc5-4a67-98e2-70528261df05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccfb5895-d3b9-4930-ac38-f7d509840321' class='xr-var-data-in' type='checkbox'><label for='data-ccfb5895-d3b9-4930-ac38-f7d509840321' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>S-coordinate at RHO-points</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>ocean_s_coordinate_g2</dd><dt><span>formula_terms :</span></dt><dd>s: s_rho C: Cs_r eta: zeta depth: bath depth_c: hc</dd><dt><span>field :</span></dt><dd>s_rho, scalar</dd></dl></div><div class='xr-var-data'><pre>array([-0.9375, -0.8125, -0.6875, -0.5625, -0.4375, -0.3125, -0.1875, -0.0625])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>s_w</span></div><div class='xr-var-dims'>(s_w)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.0 -0.875 -0.75 ... -0.125 0.0</div><input id='attrs-60835480-1d2a-4834-938d-c2a480921ca7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60835480-1d2a-4834-938d-c2a480921ca7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-550161f2-a1ce-4dd5-b907-d758d9769437' class='xr-var-data-in' type='checkbox'><label for='data-550161f2-a1ce-4dd5-b907-d758d9769437' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>S-coordinate at W-points</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>ocean_s_coordinate_g2</dd><dt><span>formula_terms :</span></dt><dd>s: s_w C: Cs_w eta: zeta depth: bath depth_c: hc</dd><dt><span>field :</span></dt><dd>s_w, scalar</dd></dl></div><div class='xr-var-data'><pre>array([-1.   , -0.875, -0.75 , -0.625, -0.5  , -0.375, -0.25 , -0.125,  0.   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_rho</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-04dadbcd-dc79-4e6a-9a8c-b09c87fb6cf2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04dadbcd-dc79-4e6a-9a8c-b09c87fb6cf2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97590a8c-d145-48d0-89c6-e992d1032e02' class='xr-var-data-in' type='checkbox'><label for='data-97590a8c-d145-48d0-89c6-e992d1032e02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of RHO-points</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>field :</span></dt><dd>lon_rho, scalar</dd></dl></div><div class='xr-var-data'><pre>[1392069 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_rho</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9b7d1ac3-1ddb-4455-8d81-7a3c4d35e40d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b7d1ac3-1ddb-4455-8d81-7a3c4d35e40d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd75ee39-8866-4824-b04b-5d8cab532cee' class='xr-var-data-in' type='checkbox'><label for='data-cd75ee39-8866-4824-b04b-5d8cab532cee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of RHO-points</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>field :</span></dt><dd>lat_rho, scalar</dd></dl></div><div class='xr-var-data'><pre>[1392069 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_u</span></div><div class='xr-var-dims'>(eta_u, xi_u)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-08eae685-d190-49e5-9dc6-a540e1d45079' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08eae685-d190-49e5-9dc6-a540e1d45079' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-270740a0-222b-479d-aeea-d80a8ab2e94e' class='xr-var-data-in' type='checkbox'><label for='data-270740a0-222b-479d-aeea-d80a8ab2e94e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of U-points</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>field :</span></dt><dd>lon_u, scalar</dd></dl></div><div class='xr-var-data'><pre>[1391012 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_u</span></div><div class='xr-var-dims'>(eta_u, xi_u)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c726c2ad-ac83-4afc-a435-22a9273d6084' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c726c2ad-ac83-4afc-a435-22a9273d6084' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5757e237-b1cd-4f4d-a9a2-338a90c58888' class='xr-var-data-in' type='checkbox'><label for='data-5757e237-b1cd-4f4d-a9a2-338a90c58888' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of U-points</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>field :</span></dt><dd>lat_u, scalar</dd></dl></div><div class='xr-var-data'><pre>[1391012 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_v</span></div><div class='xr-var-dims'>(eta_v, xi_v)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f4ee8e07-db36-4249-ad64-acb7fb94976b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4ee8e07-db36-4249-ad64-acb7fb94976b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75e3e536-d57b-4a7e-a2bf-b26431d73936' class='xr-var-data-in' type='checkbox'><label for='data-75e3e536-d57b-4a7e-a2bf-b26431d73936' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of V-points</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>field :</span></dt><dd>lon_v, scalar</dd></dl></div><div class='xr-var-data'><pre>[1390752 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_v</span></div><div class='xr-var-dims'>(eta_v, xi_v)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9d681063-3a92-48f6-b88c-3265d0a3db8f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d681063-3a92-48f6-b88c-3265d0a3db8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ff19607-1155-484e-86bc-84fa4eadfe52' class='xr-var-data-in' type='checkbox'><label for='data-2ff19607-1155-484e-86bc-84fa4eadfe52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of V-points</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>field :</span></dt><dd>lat_v, scalar</dd></dl></div><div class='xr-var-data'><pre>[1390752 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_psi</span></div><div class='xr-var-dims'>(eta_psi, xi_psi)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-787036e2-2160-4a08-b869-1c5d2610e4b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-787036e2-2160-4a08-b869-1c5d2610e4b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1d4bab8-202e-4cda-a4fa-3f8bb839a75c' class='xr-var-data-in' type='checkbox'><label for='data-e1d4bab8-202e-4cda-a4fa-3f8bb839a75c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of PSI-points</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>field :</span></dt><dd>lon_psi, scalar</dd></dl></div><div class='xr-var-data'><pre>[1389696 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_psi</span></div><div class='xr-var-dims'>(eta_psi, xi_psi)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2ea45a74-ffa5-4443-b9a9-aac086073ff7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ea45a74-ffa5-4443-b9a9-aac086073ff7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b999bb70-cad8-497b-bc7b-fead5dee2aa0' class='xr-var-data-in' type='checkbox'><label for='data-b999bb70-cad8-497b-bc7b-fead5dee2aa0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of PSI-points</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>field :</span></dt><dd>lat_psi, scalar</dd></dl></div><div class='xr-var-data'><pre>[1389696 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ocean_time</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-09-06T10:15:00.040762368 .....</div><input id='attrs-23eafada-4a52-461c-8f28-7bdb647a7ba0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23eafada-4a52-461c-8f28-7bdb647a7ba0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1eba8708-d934-4af0-bf9e-a75127df3f00' class='xr-var-data-in' type='checkbox'><label for='data-1eba8708-d934-4af0-bf9e-a75127df3f00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since initialization</dd><dt><span>field :</span></dt><dd>time, scalar, series</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2019-09-06T10:15:00.040762368&#x27;, &#x27;2019-09-06T10:30:00.044194816&#x27;,\n",
       "       &#x27;2019-09-06T10:45:00.047628288&#x27;, &#x27;2019-09-06T11:00:00.051061760&#x27;,\n",
       "       &#x27;2019-09-06T11:15:00.054495232&#x27;, &#x27;2019-09-06T11:30:00.057927680&#x27;,\n",
       "       &#x27;2019-09-06T11:45:00.061361152&#x27;, &#x27;2019-09-06T12:00:00.064794624&#x27;,\n",
       "       &#x27;2019-09-06T12:15:00.068228096&#x27;, &#x27;2019-09-06T12:30:00.071660544&#x27;,\n",
       "       &#x27;2019-09-06T12:45:00.075094016&#x27;, &#x27;2019-09-06T13:00:00.078527488&#x27;,\n",
       "       &#x27;2019-09-06T13:14:59.981960192&#x27;, &#x27;2019-09-06T13:29:59.985393664&#x27;,\n",
       "       &#x27;2019-09-06T13:44:59.988827136&#x27;, &#x27;2019-09-06T13:59:59.992259584&#x27;,\n",
       "       &#x27;2019-09-06T14:14:59.995693056&#x27;, &#x27;2019-09-06T14:29:59.999126528&#x27;,\n",
       "       &#x27;2019-09-06T14:45:00.002560000&#x27;, &#x27;2019-09-06T15:00:00.005992448&#x27;,\n",
       "       &#x27;2019-09-06T15:15:00.009425920&#x27;, &#x27;2019-09-06T15:30:00.012859392&#x27;,\n",
       "       &#x27;2019-09-06T15:45:00.016292864&#x27;, &#x27;2019-09-06T16:00:00.019725312&#x27;,\n",
       "       &#x27;2019-09-06T16:15:00.023158784&#x27;, &#x27;2019-09-06T16:30:00.026592256&#x27;,\n",
       "       &#x27;2019-09-06T16:45:00.030025728&#x27;, &#x27;2019-09-06T17:00:00.033459200&#x27;,\n",
       "       &#x27;2019-09-06T17:15:00.036891648&#x27;, &#x27;2019-09-06T17:30:00.040325120&#x27;,\n",
       "       &#x27;2019-09-06T17:45:00.043758592&#x27;, &#x27;2019-09-06T18:00:00.047192064&#x27;,\n",
       "       &#x27;2019-09-06T18:15:00.050624512&#x27;, &#x27;2019-09-06T18:30:00.054057984&#x27;,\n",
       "       &#x27;2019-09-06T18:45:00.057491456&#x27;, &#x27;2019-09-06T19:00:00.060924928&#x27;,\n",
       "       &#x27;2019-09-06T19:15:00.064357376&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6a379a96-21df-4b25-a512-2ed20af4d589' class='xr-section-summary-in' type='checkbox'  ><label for='section-6a379a96-21df-4b25-a512-2ed20af4d589' class='xr-section-summary' >Data variables: <span>(182)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>ntimes</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-884c99a3-b39c-41cf-9e13-340238f4fd96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-884c99a3-b39c-41cf-9e13-340238f4fd96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15d21bd7-862b-4818-8858-8532da966e0a' class='xr-var-data-in' type='checkbox'><label for='data-15d21bd7-862b-4818-8858-8532da966e0a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of long time-steps</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ndtfast</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7df179a7-29de-4373-aace-9cdc88fd1b09' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7df179a7-29de-4373-aace-9cdc88fd1b09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-309e1d00-b7d2-4298-be09-e222a59d6253' class='xr-var-data-in' type='checkbox'><label for='data-309e1d00-b7d2-4298-be09-e222a59d6253' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of short time-steps</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dt</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-68a9dbda-eb8b-4b7a-aa42-bc7801b3066b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68a9dbda-eb8b-4b7a-aa42-bc7801b3066b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd169e5e-bfc1-4272-a85c-2e1abcd894a0' class='xr-var-data-in' type='checkbox'><label for='data-dd169e5e-bfc1-4272-a85c-2e1abcd894a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>size of long time-steps</dd><dt><span>units :</span></dt><dd>second</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dtfast</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2294414e-2eb2-407d-ab17-c49c7684bead' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2294414e-2eb2-407d-ab17-c49c7684bead' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22707410-5f13-4590-98df-52ff4913b557' class='xr-var-data-in' type='checkbox'><label for='data-22707410-5f13-4590-98df-52ff4913b557' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>size of short time-steps</dd><dt><span>units :</span></dt><dd>second</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dstart</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-29ab50f2-344e-4c01-baae-d925eff1931d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29ab50f2-344e-4c01-baae-d925eff1931d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5e606db-fc2d-4e6a-9617-ee22ddf5741c' class='xr-var-data-in' type='checkbox'><label for='data-d5e606db-fc2d-4e6a-9617-ee22ddf5741c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time stamp assigned to model initilization</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nHIS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-82722b1d-f4c2-4872-b3ba-9e21a57db911' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82722b1d-f4c2-4872-b3ba-9e21a57db911' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe87dad9-839d-4e94-9c42-a0d299899810' class='xr-var-data-in' type='checkbox'><label for='data-fe87dad9-839d-4e94-9c42-a0d299899810' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of time-steps between history records</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ndefHIS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-36d34d21-c2e7-48f8-b1d5-e116e131e913' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36d34d21-c2e7-48f8-b1d5-e116e131e913' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d58a962-181f-4eab-b992-d43558fae0b0' class='xr-var-data-in' type='checkbox'><label for='data-3d58a962-181f-4eab-b992-d43558fae0b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of time-steps between the creation of history files</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nRST</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8077605b-cbdf-4038-9eca-20d693773311' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8077605b-cbdf-4038-9eca-20d693773311' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-680ef7c1-6548-479c-8432-5e984d2fe0cc' class='xr-var-data-in' type='checkbox'><label for='data-680ef7c1-6548-479c-8432-5e984d2fe0cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of time-steps between restart records</dd><dt><span>cycle :</span></dt><dd>only latest two records are maintained</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Falpha</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-614d9821-8e54-4e70-b678-f9c84d44f0ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-614d9821-8e54-4e70-b678-f9c84d44f0ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a675dc2-26f8-4c3a-aea4-7596e625ef60' class='xr-var-data-in' type='checkbox'><label for='data-2a675dc2-26f8-4c3a-aea4-7596e625ef60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Power-law shape barotropic filter parameter</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fbeta</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bc2e0cbf-1c3b-45c7-b0bf-6a9aa4811353' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc2e0cbf-1c3b-45c7-b0bf-6a9aa4811353' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e799a2ca-2476-402e-8322-607b3f2be04d' class='xr-var-data-in' type='checkbox'><label for='data-e799a2ca-2476-402e-8322-607b3f2be04d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Power-law shape barotropic filter parameter</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fgamma</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c2a1c6c-dacc-494a-87c6-145bea260d96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c2a1c6c-dacc-494a-87c6-145bea260d96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4837eb46-2009-4a1f-a53e-3e4ffe4a243e' class='xr-var-data-in' type='checkbox'><label for='data-4837eb46-2009-4a1f-a53e-3e4ffe4a243e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Power-law shape barotropic filter parameter</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nl_visc2</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a318c4ff-a13c-4c45-a4d4-289a9776275d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a318c4ff-a13c-4c45-a4d4-289a9776275d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-835554de-aecd-4532-902a-8c71fb833962' class='xr-var-data-in' type='checkbox'><label for='data-835554de-aecd-4532-902a-8c71fb833962' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>nonlinear model Laplacian mixing coefficient for momentum</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LuvSponge</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2a649052-33e1-46a5-b5f1-7aaa908882fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a649052-33e1-46a5-b5f1-7aaa908882fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-daf0c4cf-a7ed-4c41-ab23-cecf275bb68c' class='xr-var-data-in' type='checkbox'><label for='data-daf0c4cf-a7ed-4c41-ab23-cecf275bb68c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>horizontal viscosity sponge activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Akt_bak</span></div><div class='xr-var-dims'>(tracer)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-af4e35f0-07e2-48b4-801c-6b19dfd78425' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af4e35f0-07e2-48b4-801c-6b19dfd78425' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4812bb7b-6d0b-4efc-81cb-22d7abe3c92c' class='xr-var-data-in' type='checkbox'><label for='data-4812bb7b-6d0b-4efc-81cb-22d7abe3c92c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>background vertical mixing coefficient for tracers</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><pre>[4 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Akv_bak</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-658173a9-456c-48da-937f-4e97dbb5d5ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-658173a9-456c-48da-937f-4e97dbb5d5ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a8e2196-ab8b-4f30-810a-ed8f63d3e337' class='xr-var-data-in' type='checkbox'><label for='data-3a8e2196-ab8b-4f30-810a-ed8f63d3e337' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>background vertical mixing coefficient for momentum</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Akk_bak</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-62d6ede6-9009-4cf9-ae5f-a19ede5be082' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62d6ede6-9009-4cf9-ae5f-a19ede5be082' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf8a45e8-1d4e-4a22-b03e-11cf79cd555b' class='xr-var-data-in' type='checkbox'><label for='data-bf8a45e8-1d4e-4a22-b03e-11cf79cd555b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>background vertical mixing coefficient for turbulent energy</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Akp_bak</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-437745b3-da73-4510-af04-3f5ef1fae8aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-437745b3-da73-4510-af04-3f5ef1fae8aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d0dd950-03a0-4fed-8a19-4c0eaa90ede2' class='xr-var-data-in' type='checkbox'><label for='data-9d0dd950-03a0-4fed-8a19-4c0eaa90ede2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>background vertical mixing coefficient for length scale</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rdrg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e531bde3-a039-4db9-b90e-08e021e11ec8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e531bde3-a039-4db9-b90e-08e021e11ec8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-033eaaad-4710-474d-83f0-ac8cda9644e0' class='xr-var-data-in' type='checkbox'><label for='data-033eaaad-4710-474d-83f0-ac8cda9644e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>linear drag coefficient</dd><dt><span>units :</span></dt><dd>meter second-1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rdrg2</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c5bc1cec-190e-47a6-9fc5-6288e6540a68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5bc1cec-190e-47a6-9fc5-6288e6540a68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa9e76f6-05a7-4bf6-b7b1-24ffb2466a55' class='xr-var-data-in' type='checkbox'><label for='data-fa9e76f6-05a7-4bf6-b7b1-24ffb2466a55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quadratic drag coefficient</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zob</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7ebb16ff-43bf-4e3f-8ca9-3353c4d1fd54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ebb16ff-43bf-4e3f-8ca9-3353c4d1fd54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b649321-5505-4d79-8f73-664ea412718f' class='xr-var-data-in' type='checkbox'><label for='data-6b649321-5505-4d79-8f73-664ea412718f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bottom roughness</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zos</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c2e426c1-d1b9-419a-989a-ebc88b9dbc04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2e426c1-d1b9-419a-989a-ebc88b9dbc04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a132c0b9-5ba6-4f8e-9ec6-ebc4ef398c07' class='xr-var-data-in' type='checkbox'><label for='data-a132c0b9-5ba6-4f8e-9ec6-ebc4ef398c07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface roughness</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_p</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bd9c795c-9ce0-4f25-963a-57d7ba7c5a5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd9c795c-9ce0-4f25-963a-57d7ba7c5a5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5117ad13-7f2a-4691-8822-95af62947b16' class='xr-var-data-in' type='checkbox'><label for='data-5117ad13-7f2a-4691-8822-95af62947b16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>stability exponent</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_m</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bbd2c66a-dd64-42c9-bea9-f5a0b75436ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbd2c66a-dd64-42c9-bea9-f5a0b75436ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c4af095-f0df-4a28-9b49-af95a35feec0' class='xr-var-data-in' type='checkbox'><label for='data-6c4af095-f0df-4a28-9b49-af95a35feec0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>turbulent kinetic energy exponent</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_n</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6e7f445e-6f21-41b6-ad3a-d1e9d57212ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e7f445e-6f21-41b6-ad3a-d1e9d57212ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e62126d6-9c12-4440-8cfc-307aec6295b2' class='xr-var-data-in' type='checkbox'><label for='data-e62126d6-9c12-4440-8cfc-307aec6295b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>turbulent length scale exponent</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_cmu0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2215142f-e0a8-4626-81df-7655d5a1992d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2215142f-e0a8-4626-81df-7655d5a1992d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8dd1afc2-f64e-4502-a405-8bdb5fb90a9e' class='xr-var-data-in' type='checkbox'><label for='data-8dd1afc2-f64e-4502-a405-8bdb5fb90a9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>stability coefficient</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_c1</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-02fe77bb-1f91-4cf6-a21f-4c573b3b105b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02fe77bb-1f91-4cf6-a21f-4c573b3b105b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91fecb57-a310-4e68-b8ad-024f978e3043' class='xr-var-data-in' type='checkbox'><label for='data-91fecb57-a310-4e68-b8ad-024f978e3043' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>shear production coefficient</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_c2</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-664188af-2a91-4ebf-83fc-557db066cac3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-664188af-2a91-4ebf-83fc-557db066cac3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c379aeba-af5c-45ac-bd96-89fbeea98b42' class='xr-var-data-in' type='checkbox'><label for='data-c379aeba-af5c-45ac-bd96-89fbeea98b42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>dissipation coefficient</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_c3m</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3cfd7808-d5f7-4161-9084-701969d49283' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cfd7808-d5f7-4161-9084-701969d49283' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ab6cedb-6990-44d8-92fe-37d289cf90f5' class='xr-var-data-in' type='checkbox'><label for='data-1ab6cedb-6990-44d8-92fe-37d289cf90f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>buoyancy production coefficient (minus)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_c3p</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5ca9b470-a374-4f16-b8f3-881e4360e96c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ca9b470-a374-4f16-b8f3-881e4360e96c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4bb4847-cc56-4795-858c-1323e5fc8c43' class='xr-var-data-in' type='checkbox'><label for='data-b4bb4847-cc56-4795-858c-1323e5fc8c43' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>buoyancy production coefficient (plus)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_sigk</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c49d5ab4-4edd-4cc0-91a3-48499f9be70d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c49d5ab4-4edd-4cc0-91a3-48499f9be70d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c33b13be-d4ab-4be6-ac1d-12a35b760483' class='xr-var-data-in' type='checkbox'><label for='data-c33b13be-d4ab-4be6-ac1d-12a35b760483' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>constant Schmidt number for TKE</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_sigp</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0749d481-a114-42c4-b86d-333586c6344f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0749d481-a114-42c4-b86d-333586c6344f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34ebaa32-faee-47d3-8271-26282db47c5d' class='xr-var-data-in' type='checkbox'><label for='data-34ebaa32-faee-47d3-8271-26282db47c5d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>constant Schmidt number for PSI</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_Kmin</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cbf859f2-05ab-44c8-9167-89fd18207125' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cbf859f2-05ab-44c8-9167-89fd18207125' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36b31af0-c005-4d8b-acd1-9713e5620c0c' class='xr-var-data-in' type='checkbox'><label for='data-36b31af0-c005-4d8b-acd1-9713e5620c0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>minimum value of specific turbulent kinetic energy</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_Pmin</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bb99a7a3-432f-43ab-a189-62849f06be95' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb99a7a3-432f-43ab-a189-62849f06be95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bc367fd-8a16-4760-88a6-b55df8d9496c' class='xr-var-data-in' type='checkbox'><label for='data-9bc367fd-8a16-4760-88a6-b55df8d9496c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>minimum Value of dissipation</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Charnok_alpha</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-07d4a194-be5e-45ba-829f-cda73509b0c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07d4a194-be5e-45ba-829f-cda73509b0c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-304ec651-bc19-4f42-bceb-55873105f669' class='xr-var-data-in' type='checkbox'><label for='data-304ec651-bc19-4f42-bceb-55873105f669' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Charnok factor for surface roughness</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zos_hsig_alpha</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6a883e7b-7bb5-42de-ae1c-f780776ce414' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a883e7b-7bb5-42de-ae1c-f780776ce414' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59ef8a3c-e914-41e4-8fc3-14f44168ac94' class='xr-var-data-in' type='checkbox'><label for='data-59ef8a3c-e914-41e4-8fc3-14f44168ac94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wave amplitude factor for surface roughness</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sz_alpha</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e8bde186-43d6-4260-9a12-ebe5ab6f6a44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8bde186-43d6-4260-9a12-ebe5ab6f6a44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-336d2344-9b09-4d85-ba6d-a26405544ca0' class='xr-var-data-in' type='checkbox'><label for='data-336d2344-9b09-4d85-ba6d-a26405544ca0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface flux from wave dissipation</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CrgBan_cw</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3cabf938-6f52-494d-920f-da3938a994fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cabf938-6f52-494d-920f-da3938a994fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1b01a09-fd50-48ec-b156-847870968ab2' class='xr-var-data-in' type='checkbox'><label for='data-c1b01a09-fd50-48ec-b156-847870968ab2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface flux due to Craig and Banner wave breaking</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wec_alpha</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e9ab9f0d-1583-4b40-a708-8df3d651e19a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9ab9f0d-1583-4b40-a708-8df3d651e19a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e721206b-e14d-4f14-b218-24052b1d7831' class='xr-var-data-in' type='checkbox'><label for='data-e721206b-e14d-4f14-b218-24052b1d7831' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>coefficient for roller/breaking wave dissipation</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Znudg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b1baaec2-cb8e-43ac-ae3a-c7db43f11c28' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1baaec2-cb8e-43ac-ae3a-c7db43f11c28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b95b4b7-afdf-4297-88d4-ced891709d96' class='xr-var-data-in' type='checkbox'><label for='data-3b95b4b7-afdf-4297-88d4-ced891709d96' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>free-surface nudging/relaxation inverse time scale</dd><dt><span>units :</span></dt><dd>day-1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>M2nudg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-04bafea9-7909-4a0d-a4bc-55bf8ba45eeb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04bafea9-7909-4a0d-a4bc-55bf8ba45eeb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63c1d52d-9087-4263-8845-c7c8c21b0401' class='xr-var-data-in' type='checkbox'><label for='data-63c1d52d-9087-4263-8845-c7c8c21b0401' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2D momentum nudging/relaxation inverse time scale</dd><dt><span>units :</span></dt><dd>day-1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>M3nudg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1826c49d-963f-42fd-95e7-b211d83ed479' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1826c49d-963f-42fd-95e7-b211d83ed479' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fc438df-9f28-40c0-9513-b4d30324d9b3' class='xr-var-data-in' type='checkbox'><label for='data-1fc438df-9f28-40c0-9513-b4d30324d9b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>3D momentum nudging/relaxation inverse time scale</dd><dt><span>units :</span></dt><dd>day-1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tnudg</span></div><div class='xr-var-dims'>(tracer)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b0645571-02ba-461e-a2c7-1be9e9024d5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0645571-02ba-461e-a2c7-1be9e9024d5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5dc79b8d-9fb2-412c-9897-24bf2e13d1ab' class='xr-var-data-in' type='checkbox'><label for='data-5dc79b8d-9fb2-412c-9897-24bf2e13d1ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Tracers nudging/relaxation inverse time scale</dd><dt><span>units :</span></dt><dd>day-1</dd></dl></div><div class='xr-var-data'><pre>[4 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tnudg_SSS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6edd7153-2155-4182-b5b5-f1ca5326f5a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6edd7153-2155-4182-b5b5-f1ca5326f5a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfa737c4-b045-4de5-9606-faf3e61bc87b' class='xr-var-data-in' type='checkbox'><label for='data-cfa737c4-b045-4de5-9606-faf3e61bc87b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>SSS nudging/relaxation inverse time scale</dd><dt><span>units :</span></dt><dd>day-1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rho0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6a26d35e-4f25-4df1-9763-2c77c824a4b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a26d35e-4f25-4df1-9763-2c77c824a4b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf14511a-1728-42dc-ad47-20904f7ea18e' class='xr-var-data-in' type='checkbox'><label for='data-bf14511a-1728-42dc-ad47-20904f7ea18e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean density used in Boussinesq approximation</dd><dt><span>units :</span></dt><dd>kilogram meter-3</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>R0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bbce149a-4337-4acc-bc5e-c24e99bda855' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbce149a-4337-4acc-bc5e-c24e99bda855' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe11e489-29f8-4d0b-8328-0b927eed18e5' class='xr-var-data-in' type='checkbox'><label for='data-fe11e489-29f8-4d0b-8328-0b927eed18e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>background density used in linear equation of state</dd><dt><span>units :</span></dt><dd>kilogram meter-3</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tcoef</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1d2cb052-3331-4979-ad61-310f8baf9874' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d2cb052-3331-4979-ad61-310f8baf9874' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8dc1727-4ea3-47ff-85fe-7c07237edd63' class='xr-var-data-in' type='checkbox'><label for='data-f8dc1727-4ea3-47ff-85fe-7c07237edd63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>thermal expansion coefficient</dd><dt><span>units :</span></dt><dd>Celsius-1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Scoef</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-967c590e-d01a-43fb-a595-780b61a27eec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-967c590e-d01a-43fb-a595-780b61a27eec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6318991a-b66c-40b2-b676-1d65a8cdbb75' class='xr-var-data-in' type='checkbox'><label for='data-6318991a-b66c-40b2-b676-1d65a8cdbb75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Saline contraction coefficient</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gamma2</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-59ad6882-6811-4e67-8571-0d0da2bba520' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59ad6882-6811-4e67-8571-0d0da2bba520' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b620b7f9-24f2-419b-af4c-4b9c2746a1cf' class='xr-var-data-in' type='checkbox'><label for='data-b620b7f9-24f2-419b-af4c-4b9c2746a1cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>slipperiness parameter</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LuvSrc</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3345715f-5f88-4628-a951-15be4a321f90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3345715f-5f88-4628-a951-15be4a321f90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a08c8d2-f8ea-4ac7-b109-7a571be9c2b8' class='xr-var-data-in' type='checkbox'><label for='data-9a08c8d2-f8ea-4ac7-b109-7a571be9c2b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>momentum point sources and sink activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LwSrc</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bf5b6348-c8a8-42ed-9989-41b64c43e38f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf5b6348-c8a8-42ed-9989-41b64c43e38f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1fb223e-f4d4-4aae-bc82-b3c648a4ec2e' class='xr-var-data-in' type='checkbox'><label for='data-c1fb223e-f4d4-4aae-bc82-b3c648a4ec2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mass point sources and sink activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LtracerSrc</span></div><div class='xr-var-dims'>(tracer)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-035d2d41-9938-42a2-91aa-f073a0735787' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-035d2d41-9938-42a2-91aa-f073a0735787' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95a59432-d2a4-4537-9d5e-40c32d0086e6' class='xr-var-data-in' type='checkbox'><label for='data-95a59432-d2a4-4537-9d5e-40c32d0086e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tracer point sources and sink activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>[4 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LsshCLM</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3280d045-af76-497c-94c0-100009e2f8b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3280d045-af76-497c-94c0-100009e2f8b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a3dc8a4-05a6-4716-b142-378c1ff91f73' class='xr-var-data-in' type='checkbox'><label for='data-0a3dc8a4-05a6-4716-b142-378c1ff91f73' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height climatology processing switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Lm2CLM</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b0112b5b-4295-45cf-af3d-bb9376b45268' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0112b5b-4295-45cf-af3d-bb9376b45268' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dea7c575-54e4-4531-a6fc-9ef78feaeb6b' class='xr-var-data-in' type='checkbox'><label for='data-dea7c575-54e4-4531-a6fc-9ef78feaeb6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2D momentum climatology processing switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Lm3CLM</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f9a078ae-11ed-43d7-85f9-fe76a1c143b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9a078ae-11ed-43d7-85f9-fe76a1c143b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ab14ef5-b38c-4cdf-af63-95f7086378a0' class='xr-var-data-in' type='checkbox'><label for='data-9ab14ef5-b38c-4cdf-af63-95f7086378a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>3D momentum climatology processing switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LtracerCLM</span></div><div class='xr-var-dims'>(tracer)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-491d2a75-2be8-476b-845e-8fe93f3060f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-491d2a75-2be8-476b-845e-8fe93f3060f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0e6ea42-9f1e-4398-99eb-542e00190554' class='xr-var-data-in' type='checkbox'><label for='data-e0e6ea42-9f1e-4398-99eb-542e00190554' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tracer climatology processing switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>[4 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LnudgeM2CLM</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-679d1efa-cc6d-470b-817f-20961cb0b705' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-679d1efa-cc6d-470b-817f-20961cb0b705' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14db48dc-4b5e-43ff-817a-770f05ee34c8' class='xr-var-data-in' type='checkbox'><label for='data-14db48dc-4b5e-43ff-817a-770f05ee34c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2D momentum climatology nudging activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LnudgeM3CLM</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0b186839-4fe9-47cc-89dc-74f4b5b356f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b186839-4fe9-47cc-89dc-74f4b5b356f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54199055-5564-47e0-97e1-96b4b49e29a9' class='xr-var-data-in' type='checkbox'><label for='data-54199055-5564-47e0-97e1-96b4b49e29a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>3D momentum climatology nudging activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LnudgeTCLM</span></div><div class='xr-var-dims'>(tracer)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-351b18e8-0902-4b2c-bde4-c5c89b299979' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-351b18e8-0902-4b2c-bde4-c5c89b299979' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6da16314-4088-4131-b785-cd8d34543049' class='xr-var-data-in' type='checkbox'><label for='data-6da16314-4088-4131-b785-cd8d34543049' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>tracer climatology nudging activation switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd></dl></div><div class='xr-var-data'><pre>[4 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>minlayer_thick</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-79295902-ce8b-4781-8ed7-bea80d5437eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79295902-ce8b-4781-8ed7-bea80d5437eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-beed2819-5761-4864-8aee-60c1d4accdf5' class='xr-var-data-in' type='checkbox'><label for='data-beed2819-5761-4864-8aee-60c1d4accdf5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>depositional bed layer minimum thickness</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>newlayer_thick</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c1c4a110-7e3a-4ee9-99df-817d3a393615' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1c4a110-7e3a-4ee9-99df-817d3a393615' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ee16831-6f94-4b48-8c62-48df07bf992a' class='xr-var-data-in' type='checkbox'><label for='data-9ee16831-6f94-4b48-8c62-48df07bf992a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>depositional bed thickness criteria to crate a new layer</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_zwbl</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8fbf9a4f-351e-46dc-943a-73c47e8fe19f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8fbf9a4f-351e-46dc-943a-73c47e8fe19f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d08c1334-1f72-4ffc-8588-ff8c6de8027f' class='xr-var-data-in' type='checkbox'><label for='data-d08c1334-1f72-4ffc-8588-ff8c6de8027f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>input elevation to get near-bottom current vel.</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedload_coeff</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4d69c512-0a00-4199-b9c8-9bed32bdc478' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d69c512-0a00-4199-b9c8-9bed32bdc478' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2e045c4-a93c-48a5-9e7c-cfdfd0b56a36' class='xr-var-data-in' type='checkbox'><label for='data-e2e045c4-a93c-48a5-9e7c-cfdfd0b56a36' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bedload transport rate coefficient</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sedslope_crit_wet</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4fa1bbfb-1278-4203-a771-5a814e3a69d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fa1bbfb-1278-4203-a771-5a814e3a69d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc90b4dd-5e28-475b-9142-b0d4dfcbb3c2' class='xr-var-data-in' type='checkbox'><label for='data-bc90b4dd-5e28-475b-9142-b0d4dfcbb3c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>critical wet bed slope for slumping.</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sedslope_crit_dry</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-507d08fa-e0c9-473f-84df-a0513e023cda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-507d08fa-e0c9-473f-84df-a0513e023cda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff020e83-e980-40a5-a48c-9cba476522fa' class='xr-var-data-in' type='checkbox'><label for='data-ff020e83-e980-40a5-a48c-9cba476522fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>critical dry bed slope for slumping.</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>slopefac_wet</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0cb40d1f-9709-48b9-82aa-7f4207e8ffd3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cb40d1f-9709-48b9-82aa-7f4207e8ffd3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4acd4455-8d23-4ada-ac2b-37b734d09e09' class='xr-var-data-in' type='checkbox'><label for='data-4acd4455-8d23-4ada-ac2b-37b734d09e09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bedload wet bed slumping factor.</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>slopefac_dry</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a9d562c9-3dce-4ca0-b7a3-4a0357454a68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9d562c9-3dce-4ca0-b7a3-4a0357454a68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ca76022-b220-4670-bd97-f54a49e7b592' class='xr-var-data-in' type='checkbox'><label for='data-1ca76022-b220-4670-bd97-f54a49e7b592' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bedload dry bed slumping factor.</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedload_vandera_alphac</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-00c66c18-2a18-40dd-825b-d5b7778d3676' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00c66c18-2a18-40dd-825b-d5b7778d3676' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-247f20ab-a884-4b96-8fce-acfd3815c798' class='xr-var-data-in' type='checkbox'><label for='data-247f20ab-a884-4b96-8fce-acfd3815c798' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bedload scale factor for currents contribution.</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedload_vandera_alphaw</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-53c66b44-dc57-4861-ab0f-b84040584dee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53c66b44-dc57-4861-ab0f-b84040584dee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37e48ab3-5c57-46c5-9903-97237a3322e7' class='xr-var-data-in' type='checkbox'><label for='data-37e48ab3-5c57-46c5-9903-97237a3322e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bedload scale factor for waves contribution.</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sd50</span></div><div class='xr-var-dims'>(NST)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1c2a0c8c-ef35-448d-bca8-4ecd68dd858c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c2a0c8c-ef35-448d-bca8-4ecd68dd858c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca14ace1-e24d-4424-bba0-6cf93436f0e3' class='xr-var-data-in' type='checkbox'><label for='data-ca14ace1-e24d-4424-bba0-6cf93436f0e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>median sediment grain diameter used in uniform initial conditions</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Srho</span></div><div class='xr-var-dims'>(NST)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-15bd9fc6-125e-4170-8e9a-0882fcbb5f23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15bd9fc6-125e-4170-8e9a-0882fcbb5f23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5385282-a37b-416f-bcb7-107f87603898' class='xr-var-data-in' type='checkbox'><label for='data-c5385282-a37b-416f-bcb7-107f87603898' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sediment grain density used in uniform initial conditions</dd><dt><span>units :</span></dt><dd>kilogram meter-3</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Csed</span></div><div class='xr-var-dims'>(NST)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a6142920-9e46-400c-a58e-537528441d29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6142920-9e46-400c-a58e-537528441d29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d6f7bda-be18-4a3e-8fde-0091625f0131' class='xr-var-data-in' type='checkbox'><label for='data-3d6f7bda-be18-4a3e-8fde-0091625f0131' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sediment concentration used in uniform initial conditions</dd><dt><span>units :</span></dt><dd>kilogram meter-3</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Wsed</span></div><div class='xr-var-dims'>(NST)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-19447288-aef5-4887-b7d9-e5e4e67f554c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19447288-aef5-4887-b7d9-e5e4e67f554c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c658b8da-efeb-4fee-9691-a72648f951e7' class='xr-var-data-in' type='checkbox'><label for='data-c658b8da-efeb-4fee-9691-a72648f951e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sediment particle settling velocity</dd><dt><span>units :</span></dt><dd>meter second-1</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Erate</span></div><div class='xr-var-dims'>(NST)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-75457013-fff5-4874-bc3d-b909fda85c8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75457013-fff5-4874-bc3d-b909fda85c8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff450d4a-4f88-4d5e-865e-0db05dcb4bcb' class='xr-var-data-in' type='checkbox'><label for='data-ff450d4a-4f88-4d5e-865e-0db05dcb4bcb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sediment surface layer erosing rate</dd><dt><span>units :</span></dt><dd>kilogram meter-2 second-1</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tau_ce</span></div><div class='xr-var-dims'>(NST)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aa4194fa-25d1-4e70-aa92-23010764c648' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa4194fa-25d1-4e70-aa92-23010764c648' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32ce8eed-9b92-4339-b0e1-0c054bb8474c' class='xr-var-data-in' type='checkbox'><label for='data-32ce8eed-9b92-4339-b0e1-0c054bb8474c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sediment critical shear for erosion</dd><dt><span>units :</span></dt><dd>meter-2 second-2</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tau_cd</span></div><div class='xr-var-dims'>(NST)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-28d217c7-60bd-4fed-a7eb-fcf270e34b54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28d217c7-60bd-4fed-a7eb-fcf270e34b54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0164895f-ad0f-47fa-aa42-89797b48305c' class='xr-var-data-in' type='checkbox'><label for='data-0164895f-ad0f-47fa-aa42-89797b48305c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sediment critical shear for deposition</dd><dt><span>units :</span></dt><dd>meter-2 second-2</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>poros</span></div><div class='xr-var-dims'>(NST)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-227a69ee-0ecb-4ab1-a3a4-ad16948f2714' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-227a69ee-0ecb-4ab1-a3a4-ad16948f2714' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d6d5b72-e332-4658-ae56-4999a3e4cd75' class='xr-var-data-in' type='checkbox'><label for='data-1d6d5b72-e332-4658-ae56-4999a3e4cd75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sediment porosity</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spherical</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f3aebe2c-652c-4405-a20c-3a41aa78de83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f3aebe2c-652c-4405-a20c-3a41aa78de83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-817e4b2d-d7d2-4c41-b00c-6f8587d79eb6' class='xr-var-data-in' type='checkbox'><label for='data-817e4b2d-d7d2-4c41-b00c-6f8587d79eb6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>grid type logical switch</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>Cartesian spherical</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xl</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-abeef686-577c-4ed1-9fd0-ea6e87e79d4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abeef686-577c-4ed1-9fd0-ea6e87e79d4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f713c932-6486-4113-ab03-7de5c55ed50a' class='xr-var-data-in' type='checkbox'><label for='data-f713c932-6486-4113-ab03-7de5c55ed50a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>domain length in the XI-direction</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>el</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-962f8053-e062-4be1-8eab-88c6596553ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-962f8053-e062-4be1-8eab-88c6596553ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa80f2d0-9b21-4321-915e-e8b09778fcec' class='xr-var-data-in' type='checkbox'><label for='data-fa80f2d0-9b21-4321-915e-e8b09778fcec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>domain length in the ETA-direction</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Vtransform</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b1a48722-ad70-4be9-b6fc-eb5a5e345d14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1a48722-ad70-4be9-b6fc-eb5a5e345d14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6db1e35-ac70-4298-bb01-6093a74f010a' class='xr-var-data-in' type='checkbox'><label for='data-e6db1e35-ac70-4298-bb01-6093a74f010a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical terrain-following transformation equation</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Vstretching</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3e0e0243-ff95-4043-900c-bde7ae8a9cd8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e0e0243-ff95-4043-900c-bde7ae8a9cd8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b92ac4ae-0ac3-49e0-aae3-c7473381006c' class='xr-var-data-in' type='checkbox'><label for='data-b92ac4ae-0ac3-49e0-aae3-c7473381006c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical terrain-following stretching function</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>theta_s</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ff0b101b-3a7a-4bb2-88c0-a29caa7c6de0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff0b101b-3a7a-4bb2-88c0-a29caa7c6de0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c77249f5-006d-49c9-af16-5e274c8269e6' class='xr-var-data-in' type='checkbox'><label for='data-c77249f5-006d-49c9-af16-5e274c8269e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>S-coordinate surface control parameter</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>theta_b</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-17cef28b-dab3-42c9-bb30-5d58cbe522cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-17cef28b-dab3-42c9-bb30-5d58cbe522cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-975a5594-81ef-4d93-b87c-5ac2c2bdbafa' class='xr-var-data-in' type='checkbox'><label for='data-975a5594-81ef-4d93-b87c-5ac2c2bdbafa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>S-coordinate bottom control parameter</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tcline</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2dc4b718-5b62-475e-990c-6a8ab754b3e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2dc4b718-5b62-475e-990c-6a8ab754b3e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95492601-6da9-485a-ac72-9b6901b829b1' class='xr-var-data-in' type='checkbox'><label for='data-95492601-6da9-485a-ac72-9b6901b829b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>S-coordinate surface/bottom layer width</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hc</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7722fe2f-1bd4-43c5-922c-ad4aab350307' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7722fe2f-1bd4-43c5-922c-ad4aab350307' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5853ef35-0203-40c3-ae05-29b7ce4c47ae' class='xr-var-data-in' type='checkbox'><label for='data-5853ef35-0203-40c3-ae05-29b7ce4c47ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>S-coordinate parameter, critical depth</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>grid</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3e80fe14-1f70-4551-b691-2508732f7001' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e80fe14-1f70-4551-b691-2508732f7001' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9a66003-7322-46bc-b8ca-1b7a836deeaf' class='xr-var-data-in' type='checkbox'><label for='data-c9a66003-7322-46bc-b8ca-1b7a836deeaf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cf_role :</span></dt><dd>grid_topology</dd><dt><span>topology_dimension :</span></dt><dd>2</dd><dt><span>node_dimensions :</span></dt><dd>xi_psi eta_psi</dd><dt><span>face_dimensions :</span></dt><dd>xi_rho: xi_psi (padding: both) eta_rho: eta_psi (padding: both)</dd><dt><span>edge1_dimensions :</span></dt><dd>xi_u: xi_psi eta_u: eta_psi (padding: both)</dd><dt><span>edge2_dimensions :</span></dt><dd>xi_v: xi_psi (padding: both) eta_v: eta_psi</dd><dt><span>node_coordinates :</span></dt><dd>lon_psi lat_psi</dd><dt><span>face_coordinates :</span></dt><dd>lon_rho lat_rho</dd><dt><span>edge1_coordinates :</span></dt><dd>lon_u lat_u</dd><dt><span>edge2_coordinates :</span></dt><dd>lon_v lat_v</dd><dt><span>vertical_dimensions :</span></dt><dd>s_rho: s_w (padding: none)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Cs_r</span></div><div class='xr-var-dims'>(s_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-34bad04a-b9c4-44f4-8b41-4e5a45e2329d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34bad04a-b9c4-44f4-8b41-4e5a45e2329d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e87a296-d13b-47cd-a6c0-4e0dd30aa729' class='xr-var-data-in' type='checkbox'><label for='data-4e87a296-d13b-47cd-a6c0-4e0dd30aa729' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>S-coordinate stretching curves at RHO-points</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>field :</span></dt><dd>Cs_r, scalar</dd></dl></div><div class='xr-var-data'><pre>[8 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Cs_w</span></div><div class='xr-var-dims'>(s_w)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1950175b-b7dd-4799-a4e9-5cdd5117c0e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1950175b-b7dd-4799-a4e9-5cdd5117c0e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1dc1b3e9-6540-4851-9be4-956e9da45760' class='xr-var-data-in' type='checkbox'><label for='data-1dc1b3e9-6540-4851-9be4-956e9da45760' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>S-coordinate stretching curves at W-points</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>field :</span></dt><dd>Cs_w, scalar</dd></dl></div><div class='xr-var-data'><pre>[9 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>f</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c4cda9d1-a67a-46ae-ae67-60444354dc08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4cda9d1-a67a-46ae-ae67-60444354dc08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91f2fac4-3444-4639-ad31-ebff00c2c59c' class='xr-var-data-in' type='checkbox'><label for='data-91f2fac4-3444-4639-ad31-ebff00c2c59c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Coriolis parameter at RHO-points</dd><dt><span>units :</span></dt><dd>second-1</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>coriolis, scalar</dd></dl></div><div class='xr-var-data'><pre>[1392069 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pm</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dbae609a-b314-4352-a612-2aba5026a5cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbae609a-b314-4352-a612-2aba5026a5cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d67338c-3425-41a1-9ca1-9ceabf6e48fa' class='xr-var-data-in' type='checkbox'><label for='data-0d67338c-3425-41a1-9ca1-9ceabf6e48fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>curvilinear coordinate metric in XI</dd><dt><span>units :</span></dt><dd>meter-1</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>pm, scalar</dd></dl></div><div class='xr-var-data'><pre>[1392069 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pn</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-02d852d3-1860-4e8f-8989-74276a00b8aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02d852d3-1860-4e8f-8989-74276a00b8aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f793132d-b657-4838-8395-a26e1a90f3a6' class='xr-var-data-in' type='checkbox'><label for='data-f793132d-b657-4838-8395-a26e1a90f3a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>curvilinear coordinate metric in ETA</dd><dt><span>units :</span></dt><dd>meter-1</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>pn, scalar</dd></dl></div><div class='xr-var-data'><pre>[1392069 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-060554b3-4334-485b-bb3d-546ccd299f1c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-060554b3-4334-485b-bb3d-546ccd299f1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-219a84b9-fcc0-4da6-abda-928dec4ac16b' class='xr-var-data-in' type='checkbox'><label for='data-219a84b9-fcc0-4da6-abda-928dec4ac16b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>angle between XI-axis and EAST</dd><dt><span>units :</span></dt><dd>radians</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>angle, scalar</dd></dl></div><div class='xr-var-data'><pre>[1392069 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask_rho</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f27fa943-3a42-48d7-8b5f-8f1058219ae3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f27fa943-3a42-48d7-8b5f-8f1058219ae3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0a4577c-b363-47be-ab56-95235fd10c5d' class='xr-var-data-in' type='checkbox'><label for='data-e0a4577c-b363-47be-ab56-95235fd10c5d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mask on RHO-points</dd><dt><span>flag_values :</span></dt><dd>[0. 1.]</dd><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd></dl></div><div class='xr-var-data'><pre>[1392069 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask_u</span></div><div class='xr-var-dims'>(eta_u, xi_u)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3c9ae6e9-5bd9-4b1e-9f06-f84c0c88e0e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c9ae6e9-5bd9-4b1e-9f06-f84c0c88e0e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8619b8d3-14ae-47c7-83d1-f5d8d4ec7c0d' class='xr-var-data-in' type='checkbox'><label for='data-8619b8d3-14ae-47c7-83d1-f5d8d4ec7c0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mask on U-points</dd><dt><span>flag_values :</span></dt><dd>[0. 1.]</dd><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd></dl></div><div class='xr-var-data'><pre>[1391012 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask_v</span></div><div class='xr-var-dims'>(eta_v, xi_v)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-365f1851-ca24-465c-9e71-5492bb79e2ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-365f1851-ca24-465c-9e71-5492bb79e2ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9212c6bf-cf7d-45a8-9b40-fa333319a6db' class='xr-var-data-in' type='checkbox'><label for='data-9212c6bf-cf7d-45a8-9b40-fa333319a6db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mask on V-points</dd><dt><span>flag_values :</span></dt><dd>[0. 1.]</dd><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge2</dd></dl></div><div class='xr-var-data'><pre>[1390752 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask_psi</span></div><div class='xr-var-dims'>(eta_psi, xi_psi)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c8bc6a1f-962c-4f22-856c-8ea86628d5d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8bc6a1f-962c-4f22-856c-8ea86628d5d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07b433e6-d163-4520-833c-fa1c7740080d' class='xr-var-data-in' type='checkbox'><label for='data-07b433e6-d163-4520-833c-fa1c7740080d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mask on psi-points</dd><dt><span>flag_values :</span></dt><dd>[0. 1.]</dd><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>node</dd></dl></div><div class='xr-var-data'><pre>[1389696 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bath</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e267e94c-750a-4f04-9305-878fcbfc58cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e267e94c-750a-4f04-9305-878fcbfc58cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d0c3402-2ba4-4d81-9e88-011f606aa88d' class='xr-var-data-in' type='checkbox'><label for='data-3d0c3402-2ba4-4d81-9e88-011f606aa88d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bathymetry</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>bathymetry, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wetdry_mask_psi</span></div><div class='xr-var-dims'>(ocean_time, eta_psi, xi_psi)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5eabf9fa-d503-4e51-9486-5bc019dda173' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5eabf9fa-d503-4e51-9486-5bc019dda173' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31d924ad-09ec-402d-a15f-29139370ac7e' class='xr-var-data-in' type='checkbox'><label for='data-31d924ad-09ec-402d-a15f-29139370ac7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wet/dry mask on PSI-points</dd><dt><span>flag_values :</span></dt><dd>[0. 1.]</dd><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>node</dd><dt><span>field :</span></dt><dd>wetdry_mask_psi, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51418752 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wetdry_mask_rho</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-08c2c8d9-f88e-4a02-84b4-c875fc33e851' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08c2c8d9-f88e-4a02-84b4-c875fc33e851' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3d218fb-dfe6-4ca8-a9fd-e8fedf337d49' class='xr-var-data-in' type='checkbox'><label for='data-c3d218fb-dfe6-4ca8-a9fd-e8fedf337d49' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wet/dry mask on RHO-points</dd><dt><span>flag_values :</span></dt><dd>[0. 1.]</dd><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>wetdry_mask_rho, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wetdry_mask_u</span></div><div class='xr-var-dims'>(ocean_time, eta_u, xi_u)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-02d29077-5f82-4128-8bdc-a02e2febf61e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02d29077-5f82-4128-8bdc-a02e2febf61e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bd4603c-565f-40fd-9e73-fa3031bc76e7' class='xr-var-data-in' type='checkbox'><label for='data-0bd4603c-565f-40fd-9e73-fa3031bc76e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wet/dry mask on U-points</dd><dt><span>flag_values :</span></dt><dd>[0. 1.]</dd><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd><dt><span>field :</span></dt><dd>wetdry_mask_u, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51467444 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wetdry_mask_v</span></div><div class='xr-var-dims'>(ocean_time, eta_v, xi_v)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ad98ec09-2b49-4f06-848a-44dd904e861c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad98ec09-2b49-4f06-848a-44dd904e861c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b5d40cc-d165-4ff6-823d-d489830d5dc2' class='xr-var-data-in' type='checkbox'><label for='data-7b5d40cc-d165-4ff6-823d-d489830d5dc2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wet/dry mask on V-points</dd><dt><span>flag_values :</span></dt><dd>[0. 1.]</dd><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge2</dd><dt><span>field :</span></dt><dd>wetdry_mask_v, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51457824 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zeta</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4f3d7723-5241-4f67-b75a-88160666cb71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f3d7723-5241-4f67-b75a-88160666cb71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60a3abf6-8922-496c-a5ec-c86020451942' class='xr-var-data-in' type='checkbox'><label for='data-60a3abf6-8922-496c-a5ec-c86020451942' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>free-surface</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>free-surface, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ubar</span></div><div class='xr-var-dims'>(ocean_time, eta_u, xi_u)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-88b1e3a4-688d-4ccd-8292-df2be38e42e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88b1e3a4-688d-4ccd-8292-df2be38e42e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-452361f1-7015-4dcd-8be3-e64dd4e6d368' class='xr-var-data-in' type='checkbox'><label for='data-452361f1-7015-4dcd-8be3-e64dd4e6d368' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertically integrated u-momentum component</dd><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd><dt><span>field :</span></dt><dd>ubar-velocity, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51467444 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vbar</span></div><div class='xr-var-dims'>(ocean_time, eta_v, xi_v)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f983cc24-b55c-4d82-a25f-8d641fecec39' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f983cc24-b55c-4d82-a25f-8d641fecec39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ed9aedb-9404-483d-9045-527e128d245d' class='xr-var-data-in' type='checkbox'><label for='data-5ed9aedb-9404-483d-9045-527e128d245d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertically integrated v-momentum component</dd><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge2</dd><dt><span>field :</span></dt><dd>vbar-velocity, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51457824 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u</span></div><div class='xr-var-dims'>(ocean_time, s_rho, eta_u, xi_u)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e5f04586-686f-4647-9c35-79a16456ab58' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5f04586-686f-4647-9c35-79a16456ab58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c60f67c-177f-4321-98dc-bf54a3024bf7' class='xr-var-data-in' type='checkbox'><label for='data-0c60f67c-177f-4321-98dc-bf54a3024bf7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>u-momentum component</dd><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd><dt><span>field :</span></dt><dd>u-velocity, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[411739552 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(ocean_time, s_rho, eta_v, xi_v)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cf83e151-d1c0-410b-b696-17700439fceb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf83e151-d1c0-410b-b696-17700439fceb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f86d3edc-4050-4009-abba-d0d36f70b619' class='xr-var-data-in' type='checkbox'><label for='data-f86d3edc-4050-4009-abba-d0d36f70b619' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>v-momentum component</dd><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge2</dd><dt><span>field :</span></dt><dd>v-velocity, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[411662592 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(ocean_time, s_rho, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-773572c2-eae9-41db-9411-70ef2d4f8bc9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-773572c2-eae9-41db-9411-70ef2d4f8bc9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2ac0b5e-595e-4f73-abd8-88d6a0cd8aaf' class='xr-var-data-in' type='checkbox'><label for='data-f2ac0b5e-595e-4f73-abd8-88d6a0cd8aaf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>potential temperature</dd><dt><span>units :</span></dt><dd>Celsius</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>temperature, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[412052424 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sand_01</span></div><div class='xr-var-dims'>(ocean_time, s_rho, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9baaf103-3cae-4f6e-b00c-c34ed0ae371f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9baaf103-3cae-4f6e-b00c-c34ed0ae371f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dac93094-4233-4eb2-b92b-763d651ba8cc' class='xr-var-data-in' type='checkbox'><label for='data-dac93094-4233-4eb2-b92b-763d651ba8cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>suspended noncohesive sediment, size class 01</dd><dt><span>size_class :</span></dt><dd> 4.0000E-01 millimeter</dd><dt><span>units :</span></dt><dd>kilogram meter-3</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>sand_01, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[412052424 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sand_02</span></div><div class='xr-var-dims'>(ocean_time, s_rho, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ad8e9f1e-82bc-4e3f-9bbb-3072e5b0b494' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad8e9f1e-82bc-4e3f-9bbb-3072e5b0b494' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6c39f4d-4e8f-40b7-9c6f-fa8268172647' class='xr-var-data-in' type='checkbox'><label for='data-c6c39f4d-4e8f-40b7-9c6f-fa8268172647' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>suspended noncohesive sediment, size class 02</dd><dt><span>size_class :</span></dt><dd> 4.0000E-01 millimeter</dd><dt><span>units :</span></dt><dd>kilogram meter-3</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>sand_02, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[412052424 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sand_03</span></div><div class='xr-var-dims'>(ocean_time, s_rho, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6c8b67cd-57d1-4bae-80f3-07180ba37d9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c8b67cd-57d1-4bae-80f3-07180ba37d9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6476e8b-9799-499a-947e-f3c0a3bf6acd' class='xr-var-data-in' type='checkbox'><label for='data-a6476e8b-9799-499a-947e-f3c0a3bf6acd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>suspended noncohesive sediment, size class 03</dd><dt><span>size_class :</span></dt><dd> 4.0000E-01 millimeter</dd><dt><span>units :</span></dt><dd>kilogram meter-3</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>sand_03, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[412052424 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AKv</span></div><div class='xr-var-dims'>(ocean_time, s_w, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fdd25e80-b756-4434-b382-5cd69e45be08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fdd25e80-b756-4434-b382-5cd69e45be08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6475f37f-893f-4122-bfc8-4c6d746b1519' class='xr-var-data-in' type='checkbox'><label for='data-6475f37f-893f-4122-bfc8-4c6d746b1519' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical viscosity coefficient</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>AKv, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[463558977 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tke</span></div><div class='xr-var-dims'>(ocean_time, s_w, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-331e1646-97bb-4bbc-a7c4-138b4dbb7e18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-331e1646-97bb-4bbc-a7c4-138b4dbb7e18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-593bcd9c-395d-4952-8da7-7f990363bcf5' class='xr-var-data-in' type='checkbox'><label for='data-593bcd9c-395d-4952-8da7-7f990363bcf5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>turbulent kinetic energy</dd><dt><span>units :</span></dt><dd>meter2 second-2</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>tke, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[463558977 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Pair</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8ecc2509-7b95-4350-b279-6a17a0e09cd2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ecc2509-7b95-4350-b279-6a17a0e09cd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54f28e29-96ce-497e-a1ff-45596368910f' class='xr-var-data-in' type='checkbox'><label for='data-54f28e29-96ce-497e-a1ff-45596368910f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface air pressure</dd><dt><span>units :</span></dt><dd>millibar</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>Pair, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Uwind</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-df53a9da-58d2-4754-bc09-b47160a2e634' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df53a9da-58d2-4754-bc09-b47160a2e634' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff0f3380-f4df-446e-8442-103dfd09bade' class='xr-var-data-in' type='checkbox'><label for='data-ff0f3380-f4df-446e-8442-103dfd09bade' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface u-wind component</dd><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>u-wind, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Vwind</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3e268c67-2834-40ca-a025-9fe4e243a67b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e268c67-2834-40ca-a025-9fe4e243a67b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b93d5eab-0024-407c-a6c5-6fd0fdf1b1a2' class='xr-var-data-in' type='checkbox'><label for='data-b93d5eab-0024-407c-a6c5-6fd0fdf1b1a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface v-wind component</dd><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>v-wind, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>plant_density</span></div><div class='xr-var-dims'>(ocean_time, NVEG, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fb67e748-405a-4ee5-9292-a338db8bfc0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb67e748-405a-4ee5-9292-a338db8bfc0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2dfeb1c-2254-451b-bbaf-1372a1e715e3' class='xr-var-data-in' type='checkbox'><label for='data-a2dfeb1c-2254-451b-bbaf-1372a1e715e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>plant density</dd><dt><span>units :</span></dt><dd>plant-meter2</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>plant_density, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[154519659 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>plant_height</span></div><div class='xr-var-dims'>(ocean_time, NVEG, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ff8762e6-81a4-4722-be87-5c59173a4f52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff8762e6-81a4-4722-be87-5c59173a4f52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3c13524-3350-4ea9-a5ba-d4d27be56f9e' class='xr-var-data-in' type='checkbox'><label for='data-f3c13524-3350-4ea9-a5ba-d4d27be56f9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>plant height</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>plant_height, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[154519659 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>plant_diameter</span></div><div class='xr-var-dims'>(ocean_time, NVEG, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-80fa5afe-1d85-4b09-9cca-5952da23f64e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80fa5afe-1d85-4b09-9cca-5952da23f64e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b5308eb-3582-49a8-875d-4c53c95bfa37' class='xr-var-data-in' type='checkbox'><label for='data-0b5308eb-3582-49a8-875d-4c53c95bfa37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>plant diameter</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>plant_diameter, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[154519659 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>plant_thickness</span></div><div class='xr-var-dims'>(ocean_time, NVEG, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1b542d1b-b14e-4174-81ed-6d596665c359' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b542d1b-b14e-4174-81ed-6d596665c359' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e64b3e8-80ab-4015-8132-ffd934869fd9' class='xr-var-data-in' type='checkbox'><label for='data-6e64b3e8-80ab-4015-8132-ffd934869fd9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>plant thickness</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>field :</span></dt><dd>plant_thickness, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[154519659 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sustr</span></div><div class='xr-var-dims'>(ocean_time, eta_u, xi_u)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-86bc5a66-affb-41da-b8d7-aa904e72100e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86bc5a66-affb-41da-b8d7-aa904e72100e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ef47b0b-708e-4c3c-b69d-0237e43cec7c' class='xr-var-data-in' type='checkbox'><label for='data-2ef47b0b-708e-4c3c-b69d-0237e43cec7c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface u-momentum stress</dd><dt><span>units :</span></dt><dd>newton meter-2</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd><dt><span>field :</span></dt><dd>surface u-momentum stress, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51467444 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>svstr</span></div><div class='xr-var-dims'>(ocean_time, eta_v, xi_v)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-20770164-a7cd-4d21-b0f1-08bbfa5a899c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20770164-a7cd-4d21-b0f1-08bbfa5a899c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7d79005-0621-427c-bd17-4310c5329241' class='xr-var-data-in' type='checkbox'><label for='data-d7d79005-0621-427c-bd17-4310c5329241' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface v-momentum stress</dd><dt><span>units :</span></dt><dd>newton meter-2</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge2</dd><dt><span>field :</span></dt><dd>surface v-momentum stress, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51457824 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bustr</span></div><div class='xr-var-dims'>(ocean_time, eta_u, xi_u)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3496cbf0-de9e-4968-ae0d-94bb2466d4e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3496cbf0-de9e-4968-ae0d-94bb2466d4e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-900e47ab-ffec-484f-8c45-a6c0528ee5eb' class='xr-var-data-in' type='checkbox'><label for='data-900e47ab-ffec-484f-8c45-a6c0528ee5eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bottom u-momentum stress</dd><dt><span>units :</span></dt><dd>newton meter-2</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd><dt><span>field :</span></dt><dd>bottom u-momentum stress, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51467444 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bvstr</span></div><div class='xr-var-dims'>(ocean_time, eta_v, xi_v)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a31f3abb-5426-485d-a699-610fa4cbfa16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a31f3abb-5426-485d-a699-610fa4cbfa16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0870e2a-da71-45a6-ae5b-1327eb9cd7bd' class='xr-var-data-in' type='checkbox'><label for='data-f0870e2a-da71-45a6-ae5b-1327eb9cd7bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bottom v-momentum stress</dd><dt><span>units :</span></dt><dd>newton meter-2</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge2</dd><dt><span>field :</span></dt><dd>bottom v-momentum stress, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51457824 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bustrc</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3a098346-2a21-46b7-b78c-81806328d572' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a098346-2a21-46b7-b78c-81806328d572' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13bc3ea4-a30f-4b31-ade9-318bcef77435' class='xr-var-data-in' type='checkbox'><label for='data-13bc3ea4-a30f-4b31-ade9-318bcef77435' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current-induced, bottom u-momentum stress</dd><dt><span>units :</span></dt><dd>newton meter-2</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>bottom u-momentum stress, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bvstrc</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-30c873a4-0f4d-4a0e-aef3-e0474a8c6072' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30c873a4-0f4d-4a0e-aef3-e0474a8c6072' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b57862be-bf0b-4e90-8761-ae85a789d5eb' class='xr-var-data-in' type='checkbox'><label for='data-b57862be-bf0b-4e90-8761-ae85a789d5eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current-induced, bottom v-momentum stress</dd><dt><span>units :</span></dt><dd>newton meter-2</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>bottom v-momentum stress, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bustrw</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e5f0d03d-38cc-42f1-ac5e-de9e904d228e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5f0d03d-38cc-42f1-ac5e-de9e904d228e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3287369b-32ff-4b89-92c5-17fb47a07fc1' class='xr-var-data-in' type='checkbox'><label for='data-3287369b-32ff-4b89-92c5-17fb47a07fc1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind-induced, bottom u-momentum stress</dd><dt><span>units :</span></dt><dd>newton meter-2</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>bottom u-wave stress, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bvstrw</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-35ec126b-1563-4689-98c1-718e4c239513' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35ec126b-1563-4689-98c1-718e4c239513' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d75e305-b114-459a-ad2c-81142b94cab4' class='xr-var-data-in' type='checkbox'><label for='data-1d75e305-b114-459a-ad2c-81142b94cab4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind-induced, bottom v-momentum stress</dd><dt><span>units :</span></dt><dd>newton meter-2</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>bottom v-wave stress, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedload_Usand_01</span></div><div class='xr-var-dims'>(ocean_time, eta_u, xi_u)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aeb6bb58-f76d-4a54-9aea-9b399e597530' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aeb6bb58-f76d-4a54-9aea-9b399e597530' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31599c92-eb4c-49b6-8bfa-fe9584157662' class='xr-var-data-in' type='checkbox'><label for='data-31599c92-eb4c-49b6-8bfa-fe9584157662' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bed load flux of sand in U-direction, size class 01</dd><dt><span>units :</span></dt><dd>kilogram meter-1 s-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd><dt><span>field :</span></dt><dd>bedload_Usand_01, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51467444 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedload_Vsand_01</span></div><div class='xr-var-dims'>(ocean_time, eta_v, xi_v)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-28fa6990-90c8-4c97-ad7e-34fcb8d82b16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28fa6990-90c8-4c97-ad7e-34fcb8d82b16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d846f040-605d-4921-a0bc-0d3b8852eb91' class='xr-var-data-in' type='checkbox'><label for='data-d846f040-605d-4921-a0bc-0d3b8852eb91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bed load flux of sand in V-direction, size class 01</dd><dt><span>units :</span></dt><dd>kilogram meter-1 s-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge2</dd><dt><span>field :</span></dt><dd>bedload_Vsand_01, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51457824 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedload_Usand_02</span></div><div class='xr-var-dims'>(ocean_time, eta_u, xi_u)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e2f9aee9-7aaf-4384-87a8-255556a75655' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2f9aee9-7aaf-4384-87a8-255556a75655' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53833f26-2eff-41a7-b462-9e504c0f23eb' class='xr-var-data-in' type='checkbox'><label for='data-53833f26-2eff-41a7-b462-9e504c0f23eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bed load flux of sand in U-direction, size class 02</dd><dt><span>units :</span></dt><dd>kilogram meter-1 s-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd><dt><span>field :</span></dt><dd>bedload_Usand_02, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51467444 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedload_Vsand_02</span></div><div class='xr-var-dims'>(ocean_time, eta_v, xi_v)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5ea80ebc-99bf-49e4-8422-3e85e9956203' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ea80ebc-99bf-49e4-8422-3e85e9956203' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c9803e6-56ee-457e-8a76-dfc9176ae8d3' class='xr-var-data-in' type='checkbox'><label for='data-1c9803e6-56ee-457e-8a76-dfc9176ae8d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bed load flux of sand in V-direction, size class 02</dd><dt><span>units :</span></dt><dd>kilogram meter-1 s-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge2</dd><dt><span>field :</span></dt><dd>bedload_Vsand_02, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51457824 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedload_Usand_03</span></div><div class='xr-var-dims'>(ocean_time, eta_u, xi_u)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1ae4ebaf-bfb4-4449-a447-a4405e7c83f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ae4ebaf-bfb4-4449-a447-a4405e7c83f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa79bc25-eca9-4635-8565-fef655d17104' class='xr-var-data-in' type='checkbox'><label for='data-fa79bc25-eca9-4635-8565-fef655d17104' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bed load flux of sand in U-direction, size class 03</dd><dt><span>units :</span></dt><dd>kilogram meter-1 s-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd><dt><span>field :</span></dt><dd>bedload_Usand_03, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51467444 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedload_Vsand_03</span></div><div class='xr-var-dims'>(ocean_time, eta_v, xi_v)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8b566cc2-a48f-47d7-8a2d-cb0d8e2da7a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b566cc2-a48f-47d7-8a2d-cb0d8e2da7a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2db6332-0422-4db4-9314-3a7f1526a793' class='xr-var-data-in' type='checkbox'><label for='data-d2db6332-0422-4db4-9314-3a7f1526a793' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bed load flux of sand in V-direction, size class 03</dd><dt><span>units :</span></dt><dd>kilogram meter-1 s-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge2</dd><dt><span>field :</span></dt><dd>bedload_Vsand_03, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51457824 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ursell_no</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ef1fec25-0224-4cc0-8407-da745838132c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef1fec25-0224-4cc0-8407-da745838132c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edb91605-d274-47b5-8059-160c403cc5cc' class='xr-var-data-in' type='checkbox'><label for='data-edb91605-d274-47b5-8059-160c403cc5cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ursell number</dd><dt><span>units :</span></dt><dd>non-dimensional</dd><dt><span>time :</span></dt><dd>ursell_no</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>Ursell_nu, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RR_asymwave</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-99890dfc-44fd-4ca9-8292-c06c8ecb1a3a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99890dfc-44fd-4ca9-8292-c06c8ecb1a3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd2d85b9-1124-4786-8c9d-c9f6c43a782a' class='xr-var-data-in' type='checkbox'><label for='data-fd2d85b9-1124-4786-8c9d-c9f6c43a782a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Velocity skewness parameter of the asymmetric wave</dd><dt><span>units :</span></dt><dd>non-dimensional</dd><dt><span>time :</span></dt><dd>RR_asymwave</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>RR_asymwave, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beta_asymwave</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1559d6bf-795f-4fcf-afac-404ea3698d86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1559d6bf-795f-4fcf-afac-404ea3698d86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef298205-b622-4278-8099-ba3b943e7175' class='xr-var-data-in' type='checkbox'><label for='data-ef298205-b622-4278-8099-ba3b943e7175' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Acceleration asymmetry parameter of the asymmetric wave</dd><dt><span>units :</span></dt><dd>non-dimensional</dd><dt><span>time :</span></dt><dd>beta_asymwave</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>beta_asymwave, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ucrest_r</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fdf1dae0-96b2-40c1-9bf0-943d792f0380' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fdf1dae0-96b2-40c1-9bf0-943d792f0380' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f16dfbdc-72af-42e9-8030-a16653545e4f' class='xr-var-data-in' type='checkbox'><label for='data-f16dfbdc-72af-42e9-8030-a16653545e4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Crest velocity of the asymmetric wave</dd><dt><span>units :</span></dt><dd>meter s-1</dd><dt><span>time :</span></dt><dd>ucrest_r</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>ucrest_r, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>utrough_r</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a6a30338-c532-4ae1-91e5-9e8894c501a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6a30338-c532-4ae1-91e5-9e8894c501a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2808f12-cc60-44fa-a0ff-3c6867cdfe64' class='xr-var-data-in' type='checkbox'><label for='data-c2808f12-cc60-44fa-a0ff-3c6867cdfe64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Trough velocity of the asymmetric wave</dd><dt><span>units :</span></dt><dd>meter s-1</dd><dt><span>time :</span></dt><dd>utrough_r</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>utrough_r, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>T_crest</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1b5ad1b3-1ad8-4910-bc84-f2564f88307d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b5ad1b3-1ad8-4910-bc84-f2564f88307d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63c2efc6-2572-440d-b42e-7c495d83f9fc' class='xr-var-data-in' type='checkbox'><label for='data-63c2efc6-2572-440d-b42e-7c495d83f9fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Crest wave time period of the asymmetric wave</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>time :</span></dt><dd>T_crest</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>T_crest, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>T_trough</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6b6f6566-9fb0-413b-9cf1-41354941216e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b6f6566-9fb0-413b-9cf1-41354941216e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8daae5c5-9e2e-4fae-b940-932c53526ab8' class='xr-var-data-in' type='checkbox'><label for='data-8daae5c5-9e2e-4fae-b940-932c53526ab8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Trough wave time period of the asymmetric wave</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>time :</span></dt><dd>T_trough</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>T_trough, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sandfrac_01</span></div><div class='xr-var-dims'>(ocean_time, Nbed, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f512ac3a-7919-4ea0-ac15-d7f2b1f84f0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f512ac3a-7919-4ea0-ac15-d7f2b1f84f0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fbc6ce4-658e-412b-804f-f83e460ddd8e' class='xr-var-data-in' type='checkbox'><label for='data-8fbc6ce4-658e-412b-804f-f83e460ddd8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>noncohesive sediment fraction, size class 01</dd><dt><span>size_class :</span></dt><dd>time dependent �������?</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>sandfrac_01, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sandfrac_02</span></div><div class='xr-var-dims'>(ocean_time, Nbed, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a98b2731-d3db-49f4-a7ed-60bbd136e0cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a98b2731-d3db-49f4-a7ed-60bbd136e0cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab3dce0c-abab-4da4-92dc-b3e1425bd226' class='xr-var-data-in' type='checkbox'><label for='data-ab3dce0c-abab-4da4-92dc-b3e1425bd226' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>noncohesive sediment fraction, size class 02</dd><dt><span>size_class :</span></dt><dd>time dependent �������?</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>sandfrac_02, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sandfrac_03</span></div><div class='xr-var-dims'>(ocean_time, Nbed, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1fae6e58-da94-4e37-bd88-b8c0dcd7bdde' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fae6e58-da94-4e37-bd88-b8c0dcd7bdde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-590dc923-a3d8-4fc4-aa62-09927fc8932a' class='xr-var-data-in' type='checkbox'><label for='data-590dc923-a3d8-4fc4-aa62-09927fc8932a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>noncohesive sediment fraction, size class 03</dd><dt><span>size_class :</span></dt><dd>time dependent �������?</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>sandfrac_03, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sandmass_01</span></div><div class='xr-var-dims'>(ocean_time, Nbed, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ed26c04b-b9dd-4fac-b748-f31f8ab1d490' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed26c04b-b9dd-4fac-b748-f31f8ab1d490' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9ce7792-eec0-4582-9d90-c60e6813fe10' class='xr-var-data-in' type='checkbox'><label for='data-a9ce7792-eec0-4582-9d90-c60e6813fe10' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>noncohesive sediment mass, size class 01</dd><dt><span>size_class :</span></dt><dd>time dependent �������?</dd><dt><span>units :</span></dt><dd>kilogram meter-2</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>sandmass_01, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sandmass_02</span></div><div class='xr-var-dims'>(ocean_time, Nbed, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8d4d03e3-e40c-4745-97f5-d5f7e7cc2a84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d4d03e3-e40c-4745-97f5-d5f7e7cc2a84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-600fb558-9a8b-46d5-89fd-1f2f7b2916aa' class='xr-var-data-in' type='checkbox'><label for='data-600fb558-9a8b-46d5-89fd-1f2f7b2916aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>noncohesive sediment mass, size class 02</dd><dt><span>size_class :</span></dt><dd>time dependent �������?</dd><dt><span>units :</span></dt><dd>kilogram meter-2</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>sandmass_02, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sandmass_03</span></div><div class='xr-var-dims'>(ocean_time, Nbed, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7ce6430b-b383-48ba-a9c2-65bd28eb992b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ce6430b-b383-48ba-a9c2-65bd28eb992b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4444c7d1-0d6c-4f92-9422-73a81fe2719e' class='xr-var-data-in' type='checkbox'><label for='data-4444c7d1-0d6c-4f92-9422-73a81fe2719e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>noncohesive sediment mass, size class 03</dd><dt><span>size_class :</span></dt><dd>time dependent �������?</dd><dt><span>units :</span></dt><dd>kilogram meter-2</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>sandmass_03, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bed_thickness</span></div><div class='xr-var-dims'>(ocean_time, Nbed, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1be99dca-a419-4a7c-83a5-4b79d57d2a2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1be99dca-a419-4a7c-83a5-4b79d57d2a2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1159ca9-f23e-4df7-a224-9b14b7ed3373' class='xr-var-data-in' type='checkbox'><label for='data-e1159ca9-f23e-4df7-a224-9b14b7ed3373' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sediment bed layer thickness</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>bed_thickness, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bed_age</span></div><div class='xr-var-dims'>(ocean_time, Nbed, eta_rho, xi_rho)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7847efce-54b6-41db-a64e-596176c88c25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7847efce-54b6-41db-a64e-596176c88c25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d212aca-8dbc-4379-a728-e61d11e68263' class='xr-var-data-in' type='checkbox'><label for='data-3d212aca-8dbc-4379-a728-e61d11e68263' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sediment layer age</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>bed_age, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=timedelta64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bed_porosity</span></div><div class='xr-var-dims'>(ocean_time, Nbed, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d733d649-52fb-4e69-bcb6-bbf43cbd6906' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d733d649-52fb-4e69-bcb6-bbf43cbd6906' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfaf315f-c42d-4e61-aba5-9943babcd3c7' class='xr-var-data-in' type='checkbox'><label for='data-dfaf315f-c42d-4e61-aba5-9943babcd3c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sediment layer porosity</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>bed_porosity, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bed_biodiff</span></div><div class='xr-var-dims'>(ocean_time, Nbed, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dbb8d3af-21f5-4d04-b83b-47b7ffc716e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbb8d3af-21f5-4d04-b83b-47b7ffc716e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c1daacb-404d-4099-92a8-cd865671c7cc' class='xr-var-data-in' type='checkbox'><label for='data-8c1daacb-404d-4099-92a8-cd865671c7cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>biodiffusivity at bottom of each layer</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>bed_biodiff, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>grain_diameter</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fe00622b-5962-4ad8-8fa8-ed5acfa0d562' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe00622b-5962-4ad8-8fa8-ed5acfa0d562' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be13aadb-cdb2-4454-9147-66bfdc2d3fbe' class='xr-var-data-in' type='checkbox'><label for='data-be13aadb-cdb2-4454-9147-66bfdc2d3fbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sediment median grain diameter size</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>grain_diameter, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>grain_density</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-97e93d8c-7df8-47dd-b0b9-975ccd76cef6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97e93d8c-7df8-47dd-b0b9-975ccd76cef6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-274d2073-e9df-4258-835f-587b1dd975d0' class='xr-var-data-in' type='checkbox'><label for='data-274d2073-e9df-4258-835f-587b1dd975d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sediment median grain density</dd><dt><span>units :</span></dt><dd>kilogram meter3</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>grain_density, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>settling_vel</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-81b5f946-9a07-4264-895b-ec94d220a125' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81b5f946-9a07-4264-895b-ec94d220a125' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8262cc52-48b7-4640-b85d-aae08a705d11' class='xr-var-data-in' type='checkbox'><label for='data-8262cc52-48b7-4640-b85d-aae08a705d11' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sediment median grain settling velocity</dd><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>settling_vel, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>erosion_stress</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b62a22a8-a8f1-449a-9cba-f6775e97223e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b62a22a8-a8f1-449a-9cba-f6775e97223e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7227a59-5904-4990-a6fe-880f61d6c5d4' class='xr-var-data-in' type='checkbox'><label for='data-e7227a59-5904-4990-a6fe-880f61d6c5d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sediment median critical erosion stress</dd><dt><span>units :</span></dt><dd>newton meter-2</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>erosion_stress, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ripple_length</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a98353c0-63c3-4763-bc10-423f567268fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a98353c0-63c3-4763-bc10-423f567268fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98f12ad3-fa20-4de6-828f-634a96a151e9' class='xr-var-data-in' type='checkbox'><label for='data-98f12ad3-fa20-4de6-828f-634a96a151e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bottom ripple length</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>ripple_length, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ripple_height</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-628a5d0a-c8e6-4f24-8265-b8d2425f41dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-628a5d0a-c8e6-4f24-8265-b8d2425f41dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f645236-5cd2-46c9-9989-ae7d97d78d9e' class='xr-var-data-in' type='checkbox'><label for='data-0f645236-5cd2-46c9-9989-ae7d97d78d9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bottom ripple height</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>ripple_height, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bed_wave_amp</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3ca2473f-ff3b-43b1-9869-4555808f92fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ca2473f-ff3b-43b1-9869-4555808f92fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8638b999-0de8-4bcc-8864-7f5ede99abba' class='xr-var-data-in' type='checkbox'><label for='data-8638b999-0de8-4bcc-8864-7f5ede99abba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bed wave excursion amplitude</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>bed_wave_amp, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zo_def</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-71194aa5-ed91-48b0-b351-32851a282d12' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-71194aa5-ed91-48b0-b351-32851a282d12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-126fee97-a2a4-47f1-8518-44d788110e7b' class='xr-var-data-in' type='checkbox'><label for='data-126fee97-a2a4-47f1-8518-44d788110e7b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>default bottom roughness length</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>Zo_def, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zo_app</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-583050db-789a-421c-9343-a0b29004d5c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-583050db-789a-421c-9343-a0b29004d5c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72745766-577f-4597-9fe1-0a1a89ec9f40' class='xr-var-data-in' type='checkbox'><label for='data-72745766-577f-4597-9fe1-0a1a89ec9f40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>apparent bottom roughness length</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>Zo_app, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>active_layer_thickness</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ffb9bad2-6b9c-45b5-b255-394bd9389282' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffb9bad2-6b9c-45b5-b255-394bd9389282' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9aa3ebc5-f8ab-4ff4-ab56-1963d2ac6c9b' class='xr-var-data-in' type='checkbox'><label for='data-9aa3ebc5-f8ab-4ff4-ab56-1963d2ac6c9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>active layer thickness</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>active_layer_thickness, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bed_inund_depth</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-80ce6c58-342b-43f6-b51b-36015900ec37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80ce6c58-342b-43f6-b51b-36015900ec37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5fe69cbf-29e4-48d1-8c5e-0ac498288c0f' class='xr-var-data-in' type='checkbox'><label for='data-5fe69cbf-29e4-48d1-8c5e-0ac498288c0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>inundation depth</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>bed_inund_depth, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dep_net</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-43f8769b-0be0-4c20-9c6f-aff421b84de2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43f8769b-0be0-4c20-9c6f-aff421b84de2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3558adc9-2375-4c1b-bee1-6328c7c3261b' class='xr-var-data-in' type='checkbox'><label for='data-3558adc9-2375-4c1b-bee1-6328c7c3261b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>erosion or deposition</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>dep_net, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thck_wbl</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-60825337-e283-4430-9672-1ffcfe4fd9c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60825337-e283-4430-9672-1ffcfe4fd9c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0d4323d-657a-4ae3-8bd2-9b0e5207f4a4' class='xr-var-data-in' type='checkbox'><label for='data-d0d4323d-657a-4ae3-8bd2-9b0e5207f4a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Thickness of the wave boundary layer</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>thck_wbl, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>udelta_wbl</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a1953f57-6320-48ae-8a30-f52708c28ccb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1953f57-6320-48ae-8a30-f52708c28ccb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbb723f0-0337-41b9-93fa-96a6efff82a7' class='xr-var-data-in' type='checkbox'><label for='data-cbb723f0-0337-41b9-93fa-96a6efff82a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Current velocity at the wave boundary layer</dd><dt><span>units :</span></dt><dd>meter s-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>udelta_wbl, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fd_wbl</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f16a223e-97d3-44df-a639-3ae4bc775f8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f16a223e-97d3-44df-a639-3ae4bc775f8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a6295ad-62d6-4c32-8196-9bddbc85b100' class='xr-var-data-in' type='checkbox'><label for='data-7a6295ad-62d6-4c32-8196-9bddbc85b100' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Friction factor from the currents</dd><dt><span>units :</span></dt><dd>non-dimensional</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>fd_wbl, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zr_wbl</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-86df02f4-73c1-425d-b235-857c42c54170' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86df02f4-73c1-425d-b235-857c42c54170' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d9c1598-a76d-4e21-b433-5a54b62729c8' class='xr-var-data-in' type='checkbox'><label for='data-0d9c1598-a76d-4e21-b433-5a54b62729c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Reference height to get near bottom current velocity.</dd><dt><span>units :</span></dt><dd>meter-s</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>Zr_wbl, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ksd_wbl</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-41700588-471e-40ed-a69c-ae03a0247b2a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41700588-471e-40ed-a69c-ae03a0247b2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68ffa964-cdd3-4d9c-817e-1cf98f0348e6' class='xr-var-data-in' type='checkbox'><label for='data-68ffa964-cdd3-4d9c-817e-1cf98f0348e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bed roughness (Zo) for wave boundary layer calc.</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>ksd_wbl, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ustrc_wbl</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fac87c59-6dd2-4a88-b1c6-47ebadfe32d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fac87c59-6dd2-4a88-b1c6-47ebadfe32d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f0f0240-8f70-4d51-9669-076f60d5b3cb' class='xr-var-data-in' type='checkbox'><label for='data-2f0f0240-8f70-4d51-9669-076f60d5b3cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Current friction velocity at wave boundary layer</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>ustrc_wbl, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>phic_sgwbl</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-30ff42ce-2033-4835-af2a-e7c1eaba8c6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30ff42ce-2033-4835-af2a-e7c1eaba8c6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5db459f0-996d-47b9-9deb-73bd5bcc9042' class='xr-var-data-in' type='checkbox'><label for='data-5db459f0-996d-47b9-9deb-73bd5bcc9042' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Angle between currents and xi axis</dd><dt><span>units :</span></dt><dd>radians</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>phi_wc, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>phi_wc</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c9c05b61-5f61-41f7-8316-87d22eff4f1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9c05b61-5f61-41f7-8316-87d22eff4f1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ccc8fd4-881d-4251-952c-7eebaa7d3d62' class='xr-var-data-in' type='checkbox'><label for='data-6ccc8fd4-881d-4251-952c-7eebaa7d3d62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Angle between waves and currents</dd><dt><span>units :</span></dt><dd>radians</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>phi_wc, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ubar_stokes</span></div><div class='xr-var-dims'>(ocean_time, eta_u, xi_u)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-14368d98-b780-42ab-8c34-4d05f9782e39' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14368d98-b780-42ab-8c34-4d05f9782e39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a52b53d1-5474-41b7-8812-7cc972578e03' class='xr-var-data-in' type='checkbox'><label for='data-a52b53d1-5474-41b7-8812-7cc972578e03' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertically-integrated u-Stokes drift velocity</dd><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd><dt><span>field :</span></dt><dd>ubar_stokes-velocity, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51467444 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vbar_stokes</span></div><div class='xr-var-dims'>(ocean_time, eta_v, xi_v)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-19fa0e2b-ae5a-44c5-8b12-87c87124c9b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19fa0e2b-ae5a-44c5-8b12-87c87124c9b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f90dfb2-aa4d-402f-a625-5f82ed33f653' class='xr-var-data-in' type='checkbox'><label for='data-8f90dfb2-aa4d-402f-a625-5f82ed33f653' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertically-integrated v-Stokes drift velocity</dd><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge2</dd><dt><span>field :</span></dt><dd>vbar_stokes, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51457824 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_stokes</span></div><div class='xr-var-dims'>(ocean_time, s_rho, eta_u, xi_u)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0c15ca05-e0a5-49df-8e3a-0cbfdc4bf9bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c15ca05-e0a5-49df-8e3a-0cbfdc4bf9bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d31b4bff-9748-4d69-bfb1-32d05d1ab3c0' class='xr-var-data-in' type='checkbox'><label for='data-d31b4bff-9748-4d69-bfb1-32d05d1ab3c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>u-Stokes drift velocity</dd><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd><dt><span>field :</span></dt><dd>u_stokes, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[411739552 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_stokes</span></div><div class='xr-var-dims'>(ocean_time, s_rho, eta_v, xi_v)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c3c56f5a-4330-4158-b41a-b6e43cb616bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3c56f5a-4330-4158-b41a-b6e43cb616bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ccff743-7a34-4a7c-8c6c-e4718e35b318' class='xr-var-data-in' type='checkbox'><label for='data-6ccff743-7a34-4a7c-8c6c-e4718e35b318' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>v-Stokes drift velocity</dd><dt><span>units :</span></dt><dd>meter second-1</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge2</dd><dt><span>field :</span></dt><dd>v_stokes, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[411662592 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Hwave</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ee7fe960-e623-4017-bfef-ad0e7cabd457' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee7fe960-e623-4017-bfef-ad0e7cabd457' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a33f106-3095-4ca4-a821-d65d63d7124e' class='xr-var-data-in' type='checkbox'><label for='data-0a33f106-3095-4ca4-a821-d65d63d7124e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind-induced significant wave height</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>Hwave, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Lwave</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-30af06bd-24c7-4eb9-9216-f57371e5630f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30af06bd-24c7-4eb9-9216-f57371e5630f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68e2f7cf-384e-4684-a6ff-bdb97ba1b000' class='xr-var-data-in' type='checkbox'><label for='data-68e2f7cf-384e-4684-a6ff-bdb97ba1b000' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind-induced mean wavelength</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>Lwave, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Dwave</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c0f421c-aacc-4b0e-ba77-59e7e779ac37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c0f421c-aacc-4b0e-ba77-59e7e779ac37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a97c3ac9-8aea-466d-a4eb-054011e558b9' class='xr-var-data-in' type='checkbox'><label for='data-a97c3ac9-8aea-466d-a4eb-054011e558b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind-induced wave direction - mean</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>Dwave, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Pwave_top</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9adb3c99-565c-4e5c-85c0-32398751565e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9adb3c99-565c-4e5c-85c0-32398751565e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4411731-a22c-423d-8a24-3baaf455d321' class='xr-var-data-in' type='checkbox'><label for='data-b4411731-a22c-423d-8a24-3baaf455d321' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind-induced peak surface wave Period</dd><dt><span>units :</span></dt><dd>second</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>Pwave_top, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Dissip_fric</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9487caa4-5fbf-4866-8bf4-eed31b3c53ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9487caa4-5fbf-4866-8bf4-eed31b3c53ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53f49299-0142-4de0-bac9-0162f645848f' class='xr-var-data-in' type='checkbox'><label for='data-53f49299-0142-4de0-bac9-0162f645848f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wave dissipation due to bottom friction</dd><dt><span>units :</span></dt><dd>Watts meter-2</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>Dissip_fric, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Dissip_break</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-131c9b4f-406b-4c5d-845b-f0b5dea77eef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-131c9b4f-406b-4c5d-845b-f0b5dea77eef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41064020-5f82-48f5-90a6-fddc901ab169' class='xr-var-data-in' type='checkbox'><label for='data-41064020-5f82-48f5-90a6-fddc901ab169' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wave dissipation due to surface breaking</dd><dt><span>units :</span></dt><dd>Watts meter-2</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>Dissip_break, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Dissip_wcap</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0fd8817d-c2df-445a-8282-6857b2593dbf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0fd8817d-c2df-445a-8282-6857b2593dbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2d0f287-3578-4960-b5db-45cf5ec87f54' class='xr-var-data-in' type='checkbox'><label for='data-e2d0f287-3578-4960-b5db-45cf5ec87f54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wave dissipation due to white capping</dd><dt><span>units :</span></dt><dd>Watts meter-2</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>Dissip_wcap, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Dissip_roller</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-592afb7b-3c34-4904-906c-291e52a4d85b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-592afb7b-3c34-4904-906c-291e52a4d85b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bf6b6ba-26a1-4ed1-8923-b1c63e3e6903' class='xr-var-data-in' type='checkbox'><label for='data-9bf6b6ba-26a1-4ed1-8923-b1c63e3e6903' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wave roller dissipation</dd><dt><span>units :</span></dt><dd>Watts meter-2</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>Dissip_roller, scalar, series</dd></dl></div><div class='xr-var-data'><pre>[51506553 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e79901f9-e884-424f-a5cc-7639d352f0a1' class='xr-section-summary-in' type='checkbox'  ><label for='section-e79901f9-e884-424f-a5cc-7639d352f0a1' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>s_rho</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c66af795-6e94-47f7-add2-d30d50ed87ca' class='xr-index-data-in' type='checkbox'/><label for='index-c66af795-6e94-47f7-add2-d30d50ed87ca' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-0.9375, -0.8125, -0.6875, -0.5625, -0.4375, -0.3125, -0.1875, -0.0625], dtype=&#x27;float64&#x27;, name=&#x27;s_rho&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>s_w</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-de7f5831-266a-4989-8300-eaeb7e06b04b' class='xr-index-data-in' type='checkbox'/><label for='index-de7f5831-266a-4989-8300-eaeb7e06b04b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-1.0, -0.875, -0.75, -0.625, -0.5, -0.375, -0.25, -0.125, 0.0], dtype=&#x27;float64&#x27;, name=&#x27;s_w&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>ocean_time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4a66e9bd-32b1-46a1-bd73-213be6ad9199' class='xr-index-data-in' type='checkbox'/><label for='index-4a66e9bd-32b1-46a1-bd73-213be6ad9199' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2019-09-06 10:15:00.040762368&#x27;,\n",
       "               &#x27;2019-09-06 10:30:00.044194816&#x27;,\n",
       "               &#x27;2019-09-06 10:45:00.047628288&#x27;,\n",
       "               &#x27;2019-09-06 11:00:00.051061760&#x27;,\n",
       "               &#x27;2019-09-06 11:15:00.054495232&#x27;,\n",
       "               &#x27;2019-09-06 11:30:00.057927680&#x27;,\n",
       "               &#x27;2019-09-06 11:45:00.061361152&#x27;,\n",
       "               &#x27;2019-09-06 12:00:00.064794624&#x27;,\n",
       "               &#x27;2019-09-06 12:15:00.068228096&#x27;,\n",
       "               &#x27;2019-09-06 12:30:00.071660544&#x27;,\n",
       "               &#x27;2019-09-06 12:45:00.075094016&#x27;,\n",
       "               &#x27;2019-09-06 13:00:00.078527488&#x27;,\n",
       "               &#x27;2019-09-06 13:14:59.981960192&#x27;,\n",
       "               &#x27;2019-09-06 13:29:59.985393664&#x27;,\n",
       "               &#x27;2019-09-06 13:44:59.988827136&#x27;,\n",
       "               &#x27;2019-09-06 13:59:59.992259584&#x27;,\n",
       "               &#x27;2019-09-06 14:14:59.995693056&#x27;,\n",
       "               &#x27;2019-09-06 14:29:59.999126528&#x27;,\n",
       "                  &#x27;2019-09-06 14:45:00.002560&#x27;,\n",
       "               &#x27;2019-09-06 15:00:00.005992448&#x27;,\n",
       "               &#x27;2019-09-06 15:15:00.009425920&#x27;,\n",
       "               &#x27;2019-09-06 15:30:00.012859392&#x27;,\n",
       "               &#x27;2019-09-06 15:45:00.016292864&#x27;,\n",
       "               &#x27;2019-09-06 16:00:00.019725312&#x27;,\n",
       "               &#x27;2019-09-06 16:15:00.023158784&#x27;,\n",
       "               &#x27;2019-09-06 16:30:00.026592256&#x27;,\n",
       "               &#x27;2019-09-06 16:45:00.030025728&#x27;,\n",
       "               &#x27;2019-09-06 17:00:00.033459200&#x27;,\n",
       "               &#x27;2019-09-06 17:15:00.036891648&#x27;,\n",
       "               &#x27;2019-09-06 17:30:00.040325120&#x27;,\n",
       "               &#x27;2019-09-06 17:45:00.043758592&#x27;,\n",
       "               &#x27;2019-09-06 18:00:00.047192064&#x27;,\n",
       "               &#x27;2019-09-06 18:15:00.050624512&#x27;,\n",
       "               &#x27;2019-09-06 18:30:00.054057984&#x27;,\n",
       "               &#x27;2019-09-06 18:45:00.057491456&#x27;,\n",
       "               &#x27;2019-09-06 19:00:00.060924928&#x27;,\n",
       "               &#x27;2019-09-06 19:15:00.064357376&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;ocean_time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b746ea4f-d9a5-4353-b7a9-d4dd0fdc69de' class='xr-section-summary-in' type='checkbox'  ><label for='section-b746ea4f-d9a5-4353-b7a9-d4dd0fdc69de' class='xr-section-summary' >Attributes: <span>(33)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>file :</span></dt><dd>./Output/Dorian_NCB_his_00019.nc</dd><dt><span>format :</span></dt><dd>netCDF-3 64bit offset file</dd><dt><span>Conventions :</span></dt><dd>CF-1.4, SGRID-0.3</dd><dt><span>type :</span></dt><dd>ROMS/TOMS history file</dd><dt><span>title :</span></dt><dd>Hurricane Dorian North Core Banks</dd><dt><span>var_info :</span></dt><dd>varinfo.dat</dd><dt><span>rst_file :</span></dt><dd>./Output/Dorian_NCB_rst.nc</dd><dt><span>his_base :</span></dt><dd>./Output/Dorian_NCB_his</dd><dt><span>grd_file :</span></dt><dd>../../grids/NCoreBanks_sub9_chrisbathy_long3.nc</dd><dt><span>ini_file :</span></dt><dd>restart/Dorian_NCB_rst_20190906_1304.nc</dd><dt><span>frc_file_01 :</span></dt><dd>../Dorian_rapgfs_rad_092019.nc</dd><dt><span>frc_file_02 :</span></dt><dd>../Dorian_rapgfs_wind_092019.nc</dd><dt><span>frc_file_03 :</span></dt><dd>../Dorian_rapgfs_air_092019.nc</dd><dt><span>bry_file_01 :</span></dt><dd>../../forcings/NCoreBanks_acdn06_10perc_sub9N8depthavg_bry_long2.nc</dd><dt><span>script_file :</span></dt><dd></dd><dt><span>NLM_TADV :</span></dt><dd>\n",
       "ADVECTION:   HORIZONTAL   VERTICAL     \n",
       "temp:        HSIMT        HSIMT        \n",
       "sand_01:     HSIMT        HSIMT        \n",
       "sand_02:     HSIMT        HSIMT        \n",
       "sand_03:     HSIMT        HSIMT</dd><dt><span>NLM_LBC :</span></dt><dd>\n",
       "EDGE:         WEST   SOUTH  EAST   NORTH  \n",
       "zeta:         Cha    Cha    Cha    Cha    \n",
       "ubar:         Fla    Fla    Fla    Fla    \n",
       "vbar:         Fla    Fla    Fla    Fla    \n",
       "u:            Rad    Gra    Gra    Gra    \n",
       "v:            Rad    Gra    Gra    Gra    \n",
       "temp:         Gra    Gra    Gra    Gra    \n",
       "sand_01:      Gra    Gra    Gra    Gra    \n",
       "sand_02:      Gra    Gra    Gra    Gra    \n",
       "sand_03:      Gra    Gra    Gra    Gra    \n",
       "tke:          Gra    Gra    Rad    Gra    \n",
       "ubar_stokes:  Gra    Gra    Gra    Gra    \n",
       "vbar_stokes:  Gra    Gra    Gra    Gra    \n",
       "u_stokes:     Gra    Gra    Gra    Gra    \n",
       "v_stokes:     Gra    Gra    Gra    Gra</dd><dt><span>svn_url :</span></dt><dd></dd><dt><span>svn_rev :</span></dt><dd></dd><dt><span>code_dir :</span></dt><dd>/vortexfs1/scratch/jwarner/dorian/core_banks_018_jcw45</dd><dt><span>header_dir :</span></dt><dd>/vortexfs1/scratch/jwarner/dorian/core_banks_018_jcw45</dd><dt><span>header_file :</span></dt><dd>corebanks.h</dd><dt><span>os :</span></dt><dd>Linux</dd><dt><span>cpu :</span></dt><dd>x86_64</dd><dt><span>compiler_system :</span></dt><dd>ifort</dd><dt><span>compiler_command :</span></dt><dd>/vortexfs1/apps/intel/compilers_and_libraries_2018.2.199/linux/mpi/intel64/bin/m</dd><dt><span>compiler_flags :</span></dt><dd>-fc=ifort -fp-model precise -ip -O3  -assume byterecl -I/vortexfs1/usgs/jwarner/models/MCT_stack/include</dd><dt><span>tiling :</span></dt><dd>015x012</dd><dt><span>history :</span></dt><dd>ROMS/TOMS, Version 3.9, Saturday - October 15, 2022 -  8:10:07 AM</dd><dt><span>ana_file :</span></dt><dd>ROMS/Functionals/ana_btflux.h, ROMS/Functionals/ana_srflux.h, ROMS/Functionals/ana_stflux.h, ROMS/Functionals/ana_tobc.h</dd><dt><span>CPP_options :</span></dt><dd>COREBANKS, ANA_BPFLUX, ANA_BSFLUX, ANA_BTFLUX, ANA_INITIAL, ANA_SPFLUX, ANA_SRFLUX, ANA_SSFLUX, ANA_TOBC, ASSUMED_SHAPE, ATM_PRESS, BEDLOAD_VANDERA, BEDLOAD_VANDERA_ASYM_LIMITS, BEDLOAD_VANDERA_SURFACE_WAVE, BEDLOAD_VANDERA_WAVE_AVGD_STRESS, BEDLOAD_VANDERA_MADSEN_UDELTA, !BOUNDARY_ALLGATHER, BULK_FLUXES, !COLLECT_ALL..., CURVGRID, VEGETATION, DJ_GRADPS, DOUBLE_PRECISION, GLS_MIXING, KANTHA_CLAYSON, MASKING, MCT_LIB, MIX_S_UV, MPI, WEC_VF, BOTTOM_STREAMING, ROLLER_RENIERS, NONLINEAR, !NONLIN_EOS, NO_LBC_ATT, N2S2_HORAVG, POWER_LAW, PROFILE, K_GSCHEME, REDUCE_ALLREDUCE, RI_SPLINES, !RST_SINGLE, SEDIMENT, SED_MORPH, SUSPLOAD, NONCOHESIVE_BED1, SOLVE3D, SSW_BBL, SSW_CALC_ZNOT, SSW_LOGINT, SSW_LOGINT_WBL, SWAN_COUPLING, UV_ADV, UV_COR, UV_U3HADVECTION, UV_C4VADVECTION, UV_KIRBY, UV_VIS2, VAR_RHO_2D, WAVES_OCEAN, WET_DRY</dd><dt><span>EXTRA_DIMENSION.N :</span></dt><dd>8</dd><dt><span>EXTRA_DIMENSION.boundary :</span></dt><dd>4</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 35GB\n",
       "Dimensions:                 (tracer: 4, NST: 3, s_rho: 8, s_w: 9,\n",
       "                             eta_rho: 1057, xi_rho: 1317, eta_u: 1057,\n",
       "                             xi_u: 1316, eta_v: 1056, xi_v: 1317,\n",
       "                             eta_psi: 1056, xi_psi: 1316, ocean_time: 37,\n",
       "                             NVEG: 3, Nbed: 1)\n",
       "Coordinates:\n",
       "  * s_rho                   (s_rho) float64 64B -0.9375 -0.8125 ... -0.0625\n",
       "  * s_w                     (s_w) float64 72B -1.0 -0.875 -0.75 ... -0.125 0.0\n",
       "    lon_rho                 (eta_rho, xi_rho) float64 11MB ...\n",
       "    lat_rho                 (eta_rho, xi_rho) float64 11MB ...\n",
       "    lon_u                   (eta_u, xi_u) float64 11MB ...\n",
       "    lat_u                   (eta_u, xi_u) float64 11MB ...\n",
       "    lon_v                   (eta_v, xi_v) float64 11MB ...\n",
       "    lat_v                   (eta_v, xi_v) float64 11MB ...\n",
       "    lon_psi                 (eta_psi, xi_psi) float64 11MB ...\n",
       "    lat_psi                 (eta_psi, xi_psi) float64 11MB ...\n",
       "  * ocean_time              (ocean_time) datetime64[ns] 296B 2019-09-06T10:15...\n",
       "Dimensions without coordinates: tracer, NST, eta_rho, xi_rho, eta_u, xi_u,\n",
       "                                eta_v, xi_v, eta_psi, xi_psi, NVEG, Nbed\n",
       "Data variables: (12/182)\n",
       "    ntimes                  int32 4B ...\n",
       "    ndtfast                 int32 4B ...\n",
       "    dt                      float64 8B ...\n",
       "    dtfast                  float64 8B ...\n",
       "    dstart                  datetime64[ns] 8B ...\n",
       "    nHIS                    int32 4B ...\n",
       "    ...                      ...\n",
       "    Dwave                   (ocean_time, eta_rho, xi_rho) float32 206MB ...\n",
       "    Pwave_top               (ocean_time, eta_rho, xi_rho) float32 206MB ...\n",
       "    Dissip_fric             (ocean_time, eta_rho, xi_rho) float32 206MB ...\n",
       "    Dissip_break            (ocean_time, eta_rho, xi_rho) float32 206MB ...\n",
       "    Dissip_wcap             (ocean_time, eta_rho, xi_rho) float32 206MB ...\n",
       "    Dissip_roller           (ocean_time, eta_rho, xi_rho) float32 206MB ...\n",
       "Attributes: (12/33)\n",
       "    file:                      ./Output/Dorian_NCB_his_00019.nc\n",
       "    format:                    netCDF-3 64bit offset file\n",
       "    Conventions:               CF-1.4, SGRID-0.3\n",
       "    type:                      ROMS/TOMS history file\n",
       "    title:                     Hurricane Dorian North Core Banks\n",
       "    var_info:                  varinfo.dat\n",
       "    ...                        ...\n",
       "    tiling:                    015x012\n",
       "    history:                   ROMS/TOMS, Version 3.9, Saturday - October 15,...\n",
       "    ana_file:                  ROMS/Functionals/ana_btflux.h, ROMS/Functional...\n",
       "    CPP_options:               COREBANKS, ANA_BPFLUX, ANA_BSFLUX, ANA_BTFLUX,...\n",
       "    EXTRA_DIMENSION.N:         8\n",
       "    EXTRA_DIMENSION.boundary:  4"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url_CSNV = 'http://geoport.whoi.edu/thredds/dodsC/vortexfs1/usgs/Projects/dorian/core_banks_jcw44/Output/dorian_his.ncml'\n",
    "url_CSYV = 'http://geoport.whoi.edu/thredds/dodsC/vortexfs1/usgs/Projects/dorian/core_banks_jcw45/Output/dorian_his.ncml'\n",
    "url_FSYV = 'http://geoport.whoi.edu/thredds/dodsC/vortexfs1/usgs/Projects/dorian/core_banks_jcw50/Output/dorian_his.ncml'\n",
    "url_FSNV = 'http://geoport.whoi.edu/thredds/dodsC/vortexfs1/usgs/Projects/dorian/core_banks_jcw51/Output/dorian_his.ncml'\n",
    "#url_CSYV = 'http://geoport.whoi.edu/thredds/dodsC/vortexfs1/usgs/Projects/dorian/core_banks_jcw45/Output/dorian_his.ncml'\n",
    "ds_CSYV = xr.open_dataset(url_CSYV)\n",
    "ds_CSYV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0cc3c5bb-7a5e-457d-a818-769005429d12",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['2019-09-06 10:15', '2019-09-06 10:30', '2019-09-06 10:45',\n",
       "       '2019-09-06 11:00', '2019-09-06 11:15', '2019-09-06 11:30',\n",
       "       '2019-09-06 11:45', '2019-09-06 12:00', '2019-09-06 12:15',\n",
       "       '2019-09-06 12:30', '2019-09-06 12:45', '2019-09-06 13:00',\n",
       "       '2019-09-06 13:14', '2019-09-06 13:29', '2019-09-06 13:44',\n",
       "       '2019-09-06 13:59', '2019-09-06 14:14', '2019-09-06 14:29',\n",
       "       '2019-09-06 14:45', '2019-09-06 15:00', '2019-09-06 15:15',\n",
       "       '2019-09-06 15:30', '2019-09-06 15:45', '2019-09-06 16:00',\n",
       "       '2019-09-06 16:15', '2019-09-06 16:30', '2019-09-06 16:45',\n",
       "       '2019-09-06 17:00', '2019-09-06 17:15', '2019-09-06 17:30',\n",
       "       '2019-09-06 17:45', '2019-09-06 18:00', '2019-09-06 18:15',\n",
       "       '2019-09-06 18:30', '2019-09-06 18:45', '2019-09-06 19:00',\n",
       "       '2019-09-06 19:15'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t=ds_CSYV.ocean_time.load()\n",
    "tstring = pd.to_datetime(t).strftime('%Y-%m-%d %H:%M')\n",
    "tstring"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5018713e-6d5a-4763-87b9-bc73c1c26124",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2019-09-06 15:00\n",
      "2019-09-06 18:00\n"
     ]
    }
   ],
   "source": [
    "print(tstring[19])\n",
    "print(tstring[31])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c9317437-1b7c-4fb6-bfcc-d9453661b20d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15.445326 15.432082\n"
     ]
    }
   ],
   "source": [
    "# pick some points\n",
    "ys, xs = 750,650\n",
    "yo, xo = 5, 650\n",
    "\n",
    "# load initial and final bathymetry\n",
    "bathi = ds_CSYV.bath[0,yo,xo].load().values\n",
    "bathf = ds_CSYV.bath[-1,yo,xo].load().values\n",
    "print(bathi, bathf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "651822fa-3fc3-4248-a6ef-3eb4493fd7bc",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[200 210 220 230 240 250 260 270 280 290 300 310 320 330 340 350 360 370\n",
      " 380 390 400 410 420 430 440 450 460 470 480 490 500 510 520 530 540 550\n",
      " 560 570 580 590 600 610 620 630 640 650 660 670 680 690 700 710 720 730\n",
      " 740 750 760 770 780 790 800]\n"
     ]
    }
   ],
   "source": [
    "# indices for profiles separated by 10 m\n",
    "idxs = np.arange(200, 810, 10)\n",
    "print(idxs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1e736589-59db-4cd5-ab78-257dc8912ac8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 0.15115483\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\csherwood\\AppData\\Local\\Temp\\1\\ipykernel_30220\\3675117871.py:8: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n",
      "  izero = int( np.argwhere(p>=0.)[0] )\n",
      "C:\\Users\\csherwood\\AppData\\Local\\Temp\\1\\ipykernel_30220\\3675117871.py:12: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n",
      "  iep = int( np.argwhere( np.diff(sp)<=0 )[0] )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 0.16501692\n",
      "12 0.67892957\n",
      "2 0.13264595\n",
      "1 0.09016522\n",
      "2 0.17557836\n",
      "4 0.29957\n",
      "3 0.22272395\n",
      "5 0.25619775\n",
      "2 0.15352191\n",
      "5 0.36366653\n",
      "6 0.428379\n",
      "2 0.19664666\n",
      "11 0.6610082\n",
      "4 0.30151963\n",
      "15 0.8260964\n",
      "4 0.1704639\n",
      "1 0.13514811\n",
      "11 0.5984919\n",
      "6 0.33836025\n",
      "24 2.0147207\n",
      "10 0.6706703\n",
      "6 0.4340559\n",
      "8 0.5956267\n",
      "4 0.329448\n",
      "7 0.481437\n",
      "7 0.5606476\n",
      "9 0.64642096\n",
      "8 0.57743907\n",
      "7 0.55694735\n",
      "3 0.19557047\n",
      "1 0.1083036\n",
      "9 0.66818\n",
      "8 0.45962837\n",
      "5 0.35941657\n",
      "9 0.5725434\n",
      "5 0.40089038\n",
      "5 0.3535404\n",
      "25 1.9420888\n",
      "18 0.7516834\n",
      "11 0.6972757\n",
      "8 0.47128564\n",
      "9 0.5827171\n",
      "3 0.15345255\n",
      "0 0.052071285\n",
      "6 0.42991793\n",
      "3 0.2440905\n",
      "10 0.7646195\n",
      "8 0.5546094\n",
      "7 0.49694327\n",
      "6 0.37419128\n",
      "18 0.67458904\n",
      "12 0.72474134\n",
      "10 0.74614996\n",
      "9 0.6189991\n",
      "6 0.5023522\n",
      "3 0.24993995\n",
      "0 0.010874385\n",
      "7 0.42647249\n",
      "5 0.35204783\n",
      "11 0.812474\n",
      "[0.02146869 0.02434739 0.03706364 0.02228274 0.         0.02556436\n",
      " 0.03585642 0.02794314 0.02404262 0.02397062 0.03533524 0.04174525\n",
      " 0.02444587 0.03804459 0.03435702 0.03422164 0.02233063 0.\n",
      " 0.03001868 0.03374587 0.0454386  0.03978015 0.03787855 0.04199051\n",
      " 0.03658865 0.04043715 0.04557569 0.04154944 0.04246482 0.04480102\n",
      " 0.0275317  0.         0.04098649 0.03630405 0.03031281 0.03835674\n",
      " 0.04064405 0.03535262 0.05048576 0.0266271  0.03853878 0.03172539\n",
      " 0.03935995 0.01913939        nan 0.04202679 0.02932944 0.04275437\n",
      " 0.0436621  0.04257382 0.03291838 0.02371655 0.03607954 0.04358981\n",
      " 0.04146528 0.04314781 0.032764          nan 0.03714529 0.03480681\n",
      " 0.04444632]\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# calculate slopes for these profiles\n",
    "s = np.nan*np.ones_like(idxs)\n",
    "ix = 30\n",
    "for i, idx in enumerate( idxs ):\n",
    "    # grab the profile\n",
    "    p = -ds_CSYV.bath[0,:,idx].load().values\n",
    "    # find waterline\n",
    "    izero = int( np.argwhere(p>=0.)[0] )\n",
    "    # make a short profile\n",
    "    sp = p[izero:izero+ix]\n",
    "    # find where slope starts down\n",
    "    iep = int( np.argwhere( np.diff(sp)<=0 )[0] )\n",
    "\n",
    "    print(iep, sp[iep])\n",
    "    plt.plot(sp)\n",
    "    plt.plot(iep, sp[iep],'o')\n",
    "    \n",
    "    # make a really short profile\n",
    "    rsp = sp[0:iep]\n",
    "    # calculate the slope using dy = 1.5 m\n",
    "    if(len(rsp>0)):\n",
    "        s[i] = (rsp[-1]-rsp[0])/(len(rsp)*1.5)\n",
    "       \n",
    "print(s)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "25332b22-f51f-4ad2-bb25-7ea0e9d90760",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.033543731196451994 0.01722544804215432 0.04486478082835674\n"
     ]
    }
   ],
   "source": [
    "# calculate mean, 5th, and 95th percentile slopes\n",
    "smean = np.nanmean(s)\n",
    "s5 = np.nanpercentile(s,5)\n",
    "s95 = np.nanpercentile(s,95)\n",
    "print(smean, s5, s95 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "19149001-ecc5-4826-9384-f57c7614ec00",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[11.180339 13.132638 13.132638 13.132638 13.132638 13.132638 11.180339\n",
      " 11.180339 11.180339 11.180339 11.180339 11.180339 11.180339 11.180339\n",
      " 11.180339 11.180339 11.180339 11.180339 11.180339 11.180339 11.180339\n",
      " 11.180339 11.180339 11.180339 11.180339 11.180339 11.180339 11.180339\n",
      " 11.180339  9.518269  9.518269  9.518269  9.518269  9.518269  9.518269\n",
      "  9.518269  9.518269]\n",
      "[4.1249847  4.090472   0.85436326 4.056225   4.0426626  4.025289\n",
      " 4.002724   3.9643834  3.9161608  3.8666856  3.8128831  3.7526767\n",
      " 3.694857   3.6313624  3.56431    3.484187   3.3780258  3.2297406\n",
      " 3.0757039  2.9133546  2.7557967  2.6148813  2.4903736  2.382158\n",
      " 2.298146   2.2405415  2.2030728  2.17153    2.131626   2.0805385\n",
      " 2.0195243  1.9505155  1.8748125  1.7952744  1.7148294  1.6373688\n",
      " 1.560356  ]\n",
      "[ 0.6994806   0.5947283   0.40003988  0.46802476  0.44054195  0.4214852\n",
      "  0.3945044   0.32277167  0.22956286  0.14020123  0.05602152 -0.02711488\n",
      " -0.08577386 -0.11026207 -0.09147077 -0.02742624  0.07081816  0.16671212\n",
      "  0.2581375   0.32828808  0.3879545   0.42421296  0.45743486  0.47952607\n",
      "  0.4856102   0.48603126  0.5142274   0.55174416  0.6001481   0.6542857\n",
      "  0.6834685   0.70941234  0.7238208   0.7183288   0.6944005   0.6619846\n",
      "  0.63775647]\n"
     ]
    }
   ],
   "source": [
    "# load time series of model output\n",
    "ys, xs = 750,650\n",
    "yo, xo = 50, 650\n",
    "zs = ds_CSYV.zeta[:,ys,xs].load().values\n",
    "zo = ds_CSYV.zeta[:,yo,xo].load().values\n",
    "Hs = ds_CSYV.Hwave[:,yo,xo].load().values\n",
    "T = ds_CSYV.Pwave_top[:,yo,xo].load().values\n",
    "print(T)\n",
    "print(Hs)\n",
    "print(zo)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "65b29ff2-068b-418a-8911-363eded28ac1",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# arrays for output of TWL calcs\n",
    "R2 = np.nan*np.ones_like(T)\n",
    "R2_5 = np.nan*np.ones_like(T)\n",
    "R2_95 = np.nan*np.ones_like(T)\n",
    "\n",
    "for i in range( len(R2) ):\n",
    "    R2[i], _, _, _, _, _, _ = calcR2(Hs[i], T[i], smean, igflag=0)\n",
    "    R2_5[i], _, _, _, _, _, _ = calcR2(Hs[i], T[i], s5, igflag=0)\n",
    "    R2_95[i], _, _, _, _, _, _ = calcR2(Hs[i], T[i], s95, igflag=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "075601c0-c826-4947-9c31-960e9afee2bf",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R2 max: 1.8289365768432617 at 2019-09-06T10:30:00.044194816\n",
      "Range of mean R2:\n",
      "0.7234754 1.6161909\n",
      "Range of min R2:\n",
      "0.6000229 1.340407\n",
      "TWL max: 2.4236648082733154 at 2019-09-06T10:30:00.044194816\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x20ad6357dc0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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M1eiLOH78eGzYsEHzev369ZgwYUKp9d555x1s2LABq1evxuXLlzFr1iw8//zzOHDgAABArVajYcOG2Lp1KyIjI/Hee+9h/vz5mrbuEmFhYbhx4wbCwsLw/fff47vvvsN3331XZbsl7O3t0blzZy1vxYEDB9CvXz/06NFDMz8uLg43b95kgcEwxeAhEkPy5pvArl1Fr/Pz6VFXtTAkoeLurpvtlcft21Swy94eGD68cgGljG7IyZEvgycrq6iHTiUZO3Ys5s2bh1u3bkGhUODIkSPYsmWLlkcgOzsby5cvx/79+9G9e3cAQGBgIA4fPoyvv/4affr0gaWlJRYuXKh5T0BAAI4ePYqtW7di9OjRmvmurq748ssvYW5ujhYtWmDo0KHYt28fJpWsCVMF+vbtq/GmREZGIjc3F+3bt0efPn0QHh6OSZMmISwsDNbW1ggJCan25zBMbYM9GIbi+++BZcvoedeu9JiTQ4+6EhgV1cDQJa1akYjJzqZaGgxTDh4eHhg6dCi+//57bNiwAUOHDoVHiTL6kZGRyMvLw4ABA+Dg4KCZNm7ciBs3bmjWW7NmDTp16oR69erBwcEB69atQ2xsrNa2WrVqBXNzc81rb29vJCUl1eg7hIaG4vr167hz5w7Cw8PRs2dPmJubawQGQMMj3bp108SaMAzDHgzDcPw4MHkyPX/3XaBRI+DECSAjgy7UuhIYUhVPqQy5vlAogN69qRLogQPAg7tOxgDY2ZEnQa7PrgYTJkzAjBkzAACrVq0qtVytVgMA/v77bzRo0EBrmbW1NQBg69atmDVrFpYtW4bu3bvD0dERS5cuxYkTJ7TWtyzhTVMoFJrtV5cePXrAysoK4eHhCAsLQ58+fQAAnTp1Qnp6Oq5fv46wsDDZs2IYxthggaFv4uOBUaMoW2TkSKpT8c8/tOz+ff0IDH0PkQBA374kME6eJE9GFV3nTDVRKEzut3700Uc12RqDBg0qtbxly5awtrZGbGys5uJdkkOHDiEkJATTpk3TzCvu3dAntra26Nq1K8LDw3Hw4EG88cYbAAALCwuEhIRg48aNuHXrFsdfMEwJWGDok9xcEhWJiUDr1sCmTdRG3dublicnA40b615gGKJGRUAAFdqKiyMPTb9++v9MxiQxNzfHlStXNM9L4ujoiDlz5mDWrFlQq9Xo2bMnMjIycPToUTg4OODFF19EkyZNsHHjRuzatQsBAQHYtGkTTp06hYCAAIN8h9DQUHz22WcAKDtGok+fPvj44481IqQkMTExiIiI0JrXpEkTTmVl6gQcg6EvhKCCVKdPk0fhjz+KgvN8fOgxORno0IHqYahUNf/MjAx6NITAUCgA6W6zWMAew5SFk5MTnJycyl3+4Ycf4r333sOSJUsQFBSEQYMG4c8//9QIiClTpuDxxx/HmDFj0LVrV6SkpGh5M/RNaGgoMjMz0aNHD1gUK+vfp08fZGZmIiQkRDOcU5zZs2ejffv2WtNpjlti6ggKIaqRe2bCZGRkwNnZGenp6RWe8GrMxx8Db71Fhar27KEhBQmVigprqdU0hCIJjpoiBI3P29gYJrMjMZEqfHbsCMyfT94ZRqfk5eUhJiYGAQEBsKlpdVbGaOH/mTEVqnIN5SESffD338C8efR85UptcQEA5uaApyeQkECTrgSGVCbcUHh5AZs3m1xMAMMwDKN/+JZT11y5QsW0hABefpnu8MtCEhUJCUBeXlHJcFODxQXDMAxTBiwwdElaGvDYY1Tpsndv8l6UhxTouX498NRTwP79NfvsGzeARYuALVtqtp3qkpRU1CqeYRiGqfOwwNAVSiUwZgwQHQ34+QG//lpxAzPJg5GXR481zSSJj6dsjvPna7ad6rB+PfDSS0XptwzDMEydhwWGrnjjDQrmtLenjJEHzZPKRfJg6EpgGKqKZ1lIqYLh4dXqV8EwDMPUPlhg6IING4DPP6fnGzcCbdo8/D2SwJCqMtZUYBSv4rlsGbBiBTVVM8QFv1s38tbEx9NQDcMwDFPnYYGhC27fpscFC4DHH6/ce6QhEql2ha4ERnw8MGcOMHMm0Lw5FfKaPh346y+quKkPbG2pBT1ApcMZhmGYOg8LDF2wYAFdWN99t/LvkTwYkjDQlcCQBIuTE9XCiIkBvvqKup66uQEDBgDLl1O2iy69G1Iq7sGDVN+DYRiGqdOwwNAVvXtXrdCU5MFISaELva4FxvPP07w//qBUWX9/SoXduxd4/XWgZUuKnZgyBfjtN+DevZp9fseOVKk0NRW4dKlm22IYhmFMHi60JRf161NhLLWaLva+viQ0FIrqbU+K5UhLo0dfX7rgDx9OkxDAtWvAv/9StseBAzS08/XXNAEkOLp0oalrV6B9+8p30LSwAHr0AHbtIi9GZeJQGIZhmFoLezDkwsKCRAZAhbleeaX64gKgipo//UT9TQASGMVRKIAWLSg2Y9cu8jT8/TcwYwbNB2g45eefycPRsycNs7RvTwXD1q8nz0RFPVOGDqX3TpxY/e/B1AoWLFgAhUKhNXl5eWmt8+mnn8LT0xOenp6aRmISJ06cQMeOHaGqYH8bN25cqc8oOa1ZswaOjo5QKpWa92VlZcHS0hK9evXS2t6hQ4egUChw/fp1AIC/vz8+l4K3GYapMrIKjCVLlqBz585wdHRE/fr1MXLkSFy7du2h7ztw4AA6duwIGxsbBAYGYs2aNQawVg8Ur+ZZUxQK8lj89x+9LikwSmJnBwwZAnzxBcVj3L9PwyeLFgEjRlAZcJUKiIgA1q6lOhfBwYCzMwmJsoZ0AgIoFoN7KTAAWrVqhYSEBM108eJFzbKLFy/ivffew08//YQff/wR8+fPx6UHQ2uFhYWYMmUK1qxZU2b3VYkVK1ZobR8ANmzYoDUvNDQUWVlZWg3GDh06BC8vL5w6dQo5OTma+eHh4fDx8UGzZs10/VMwTJ1EVoFx4MABTJ8+HcePH8eePXugVCoxcOBAZFeQ7RATE4MhQ4agV69eOHfuHObPn49XX30V27ZtM6DlOkIK9NRVuXAhKi8wSuLsTC3X58+nmIw7d6gV+7ZtwNy5JBwcHCgTZedOEh0MUwEWFhbw8vLSTPWK1Ya5cuUK2rRpg0ceeQT9+vVDmzZtNC3dly5dit69e6Nz584Vbt/Z2Vlr+wDg4uKiNa958+bw8fFBeLGOv+Hh4RgxYgQaN26Mo0ePas0PDQ3V4S/AMHUbWWMw/v33X63XGzZsQP369XHmzBn07t27zPesWbMGjRo10rgug4KCcPr0aXz66ad44okn9G2ybpEExo8/0kX91Vcpy6OqnD1LF30/PyA/n7wZDRrUzDaFAmjYkCYp9ValAr78koZZ1q2j4mIlh3VUKmDHDuDoUeDDD7lXib6QCrSVhZmZdhVZXaxbDa9UVFQUfHx8YG1tja5du2Lx4sUIDAwEAAQHB+P69euIjY2FEALXr19H69atER0dje+++w5nzpyp8ueVR9++fREWFoa33noLABAWFoa5c+dCrVYjLCwM/fv3R0FBAY4dO4YvvvhCZ5/LMHUdowryTH/Qy8KtgmqUx44dw8CBA7XmDRo0CN9++y0KCwthWaJNeX5+PvLz8zWvM6QsC2OgeLlwO7vqZ5LcugWcOFFUzdPTs+Iy5dXF3JziK959l0qih4cDJe/4zMyor0pcHJUu79dP93Yw1L+mPDp1At5/v+j188+T8CyL1q2BJUuKXr/0UlEmUnH+/LNK5nXt2hUbN25Es2bNcPfuXXz00UcICQnB5cuX4e7ujqCgICxevBgDHgjqJUuWICgoCP3798cnn3yCXbt2YcGCBbC0tMSKFSvKveGoDH379sWsWbOgVCqRm5uLc+fOoXfv3lCpVFj5oF/Q8ePHkZubyx4MhtEhRhPkKYTA7Nmz0bNnT7Ru3brc9RITE+Hp6ak1z9PTE0qlEslSgGMxlixZAmdnZ83kW9WhA30ieTByc+mxugJDSlGVAuL0+R3t7YFnn6Xn69aVXq5QFNXEKOaWZuoWgwcPxhNPPIHg4GD0798ff//9NwDg+++/16wzZcoUXLt2DdeuXcOUKVPw3XffwdHREd27d8fEiROxY8cOLF++HE8//bTWTUJVCQ0NRXZ2Nk6dOoVDhw6hWbNmqF+/Pvr06YNTp04hOzsb4eHhaNSokcbDwjBMzTEaD8aMGTNw4cIFHD58+KHrKkq45cWDglEl5wPAvHnzMHv2bM3rjIwM4xEZkgejpuXCJc+FJFT0/f0mTaLU1m3b6LPd3bWX9+4NbNpEjddSU+Xpj1Lb+eWX8peVrMeyeXPl1/322+rbVAH29vYIDg5GVFRUmcuTk5PxwQcf4ODBgzhx4gSaNWuGpk2bomnTpigsLMT169cRHBxcrc9u0qQJGjZsiLCwMKSlpaFPnz4AAC8vLwQEBODIkSMICwvDI488Uu3vxzBMaYzCg/HKK6/gjz/+QFhYGBo2bFjhul5eXkhMTNSal5SUBAsLC7iXvNABsLa2hpOTk9ZkNEgeDElY1NSDIQXH6ltgdOxI6asFBSQkSuLlRamvQgCVEIxMNbCxKX8qOTymi3VrSH5+Pq5cuQJvaZ8vwcyZMzFr1iw0bNgQKpUKhYWFmmVKpbLCdNXKEBoaivDwcISHh6Ov5GED0KdPH+zatQvHjx/n4RGG0TGyCgwhBGbMmIHt27dj//79CJC6clZA9+7dsWfPHq15u3fvRqdOnUrFXxg9xcuF16SaZ8ly44bw0EyaRI/r1pVdcvzBXSIPk9RN5syZgwMHDiAmJgYnTpzAk08+iYyMDLz44oul1t2zZw+ioqIwffp0AECXLl1w9epV/PPPP1i7di3Mzc3RvHnzGtkTGhqKw4cPIyIiQuPBAEhgrFu3Dnl5eWUKjPj4eERERGhNqdLxxjBMxQgZmTp1qnB2dhbh4eEiISFBM+Xk5GjWeeutt8TYsWM1r2/evCns7OzErFmzRGRkpPj222+FpaWl+PXXXyv1menp6QKASE9P1/n3qTIFBULQ5VmIgQOFePbZqm9DrRbi8ceFGDZMiM6daVs//6x7W0ty/74Qdnb0eUeOlL38scfIrvh4/dtTS8nNzRWRkZEiNzdXblOqxJgxY4S3t7ewtLQUPj4+4vHHHxeXL18utV5OTo5o1qyZOHfunNb8devWCU9PT9GoUSPx119/VeozAYgdO3aUuSwmJkYAEC1atNCaHxcXJwCIxo0bl3qPn5+fAFBq2rBhQ6XsqQqm+j8zdY+qXENljcFYvXo1AGi5LAFKVx03bhwAICEhAbGxsZplAQEB2LlzJ2bNmoVVq1bBx8cHK1euNL0UVYCakdWrR31AmjShkuFVLRcuxV0AgDR0ZAgPhrMzMHo08N135MUICSm9vFs3qljKzc/qHFu2bKnUera2tmUW15s4cSImVrEirKigeZ+/v3+Zyxs2bFju+27dulWlz2cYRhuFqOiorIVkZGTA2dkZ6enp8sRjqNVU0vv8eeDttykg8sIF6g/y6KPV26YQQGYmBVOqVJQi+pBYFp1w9Cj1H7G1pWJhzs6l7apJ+XMGeXl5iImJQUBAAGy4Qmqthf9nxlSoyjXUKII86wx5ecDixcCWLVSe+/Rp3ZQLVyhIYKhUVKuinEA6ndO9O3ldcnOpWFhZdknExwOXLxvGLoZhGEZ2WGAYiuRk4M03qSBW8XmSGIiPr1m58Lg4evTxIZFhCBQK7WDP8igoAP73P2DePGDr1rKDQhmGYZhaBQsMQ3HuHHDzJg0jdO1K85KTizwYf/5J1RmrmtYZFgZ89BGVCgcME39RnLFjKdXx3DmgvPLOajXQuDEJi02bgPfeq37GDMMwDGMSsMAwFAMGABMmAMuXA489BowaRSWda1rNMyqKvCJSASNDCwx3d0AKsC3Pi2FjQ/1LZs4ErK2pQ+urr1LsCcMwDFMrYYGhL4Qgr0JmZtG8UaOA+vWBNm1IbHTtWiQwpCJZVRUYaWn0KLWdlqNKqTRM8sMPRVVJy6JfP+Czz4BGjcjud96h93CWCcMwTK2DBYY+KCwEPv8cWL2aYg8quoBKQyRSg6mqCgypTLj0fkNkj5Skb19Ks83KAn7+ueJ1fX3JizNgAImw8+dZYDAMw9RCWGDomowMujPfv5/6PPToUbrfA0DVN69dK+rjUd1y4VJVQelRDg+GQkFdVoGKgz0lrK1piOSNN4C5c6lWBsDBnwzDMLUIFhi6JC4OeP11IDKSuo4uXAgMGVL2ujNmAHPmFN29K5WUbVEVgSFEkbC4e5ce5WrkNm4cCYUTJ4CLFyv3nt69AQ+PotcbNgAbNxZ1hWUYhmFMFhYYuiIigu7IExOp2dfSpUC7duWvX68ePWZmFnkx8vOrJjCysmg4Rq2WX2B4elLwKlA5L0ZJbt0CduygLqELFlDKLsMwDGOysMDQBUol8NVXFKjZsiWwbNnDL/TSnfu9e0WBnn5+VF67smRkUIqoNMRgaUlBpHIxeTI9btqkXcK8Mvj7U50QGxsSawsWVH0bjNGQmZmJmTNnws/PD7a2tggJCcGpU6e01hk3bhwUCoXW1K3E/j979my4ubmhUaNGpcqPb926FcOHD6/Qjr59+5b6jOKTv78/3nrrLQQFBWm978qVK1AoFBg7dqzW/E2bNsHS0hJZD4KZFQoFfvvtt6r8NAxTZ2CBoQssLCjuYsgQqklRmRLkkgejeC2MRx4Bpk2r/Oc2aAD8+ivFMwAU4FlWvIehGDCARNL9+8C2bVV/f8+ewIcfAnZ2VPXz3XeLsmsYk2LixInYs2cPNm3ahIsXL2LgwIHo378/4uPjtdZ79NFHkZCQoJl2SvVcAPz555/48ccfsXv3bnz88ccYP348Uh4ENd+/fx9vv/02Vq1aVaEd27dv12z75MmTAIC9e/dq5p06dQqhoaG4evUqEqVePgDCw8Ph6+uLsLAwre2Fh4ejS5cucHBwqNHvwzB1ARYYuqJRI2DqVPIiVIayPBjVKReuUABJSfRcruERCTMz4KWX6Hl1hkkAoEULYNEiwNGRgmDffls71ZcxenJzc7Ft2zZ88skn6N27N5o0aYIFCxYgICBA0+BQwtraGl5eXprJzc1Ns+zKlSvo27cvOnXqhGeeeQZOTk64efMmAGDu3LmYNm0aGjVqVKEtbm5umm3XeyDq3d3dteb17NkTlpaWCA8P17wvPDwc06dPR2ZmJqKjo7Xml9XWnWGY0rDAkAtpKKO4wIiPp3oWVS0XLpUJl1tgAMD48SQ0Dh4kgVAdmjShni3OzsCNG5TKymiTl1f+VHL/0cW6VUCpVEKlUpVq2mVra4vDJSrVhoeHo379+mjWrBkmTZqEJEksA2jbti1Onz6NtLQ0nDlzBrm5uWjSpAkOHz6Ms2fP4lXJc1dD7O3t0blzZy1vxYEDB9CvXz/06NFDMz8uLg43b95kgcEwlUTWdu11muIejLZt6fm+fcCYMRQs2rv3w7exYwcNJUgXYElgJCVRh1NHR93b/TAaNqShor/+Ar75hoJdq4O/P9UQiYykoRNGm6eeKn9Zp07A++8XvX7+eQogLovWrYElS4pev/RSUU2V4vz5Z6VNc3R0RPfu3fHhhx8iKCgInp6e+Omnn3DixAk0bdpUs97gwYPx1FNPwc/PDzExMXj33XfxyCOP4MyZM7C2tsagQYPw/PPPo3PnzrC1tcX3338Pe3t7TJ06Fd999x1Wr16NL774Ah4eHli7di1atWpVaRtL0rdvX/z6668AgMjISOTm5qJ9+/bo06cPwsPDMWnSJISFhcHa2hohISHV/hyGqUuwB0MuGjSgyp6PP17kwZCqcUrVOR/G1auUFlrcgxEXR5U1b98uWi8zkwJRDYVU2fP776vfvA0gsTJwYNHr9PSi4SDGqNm0aROEEGjQoAGsra2xcuVKPPvsszAv1ohvzJgxGDp0KFq3bo3hw4fjn3/+wfXr1/H3339r1lmwYAGio6Nx8eJFjBo1CosXL0b//v1haWmJjz76CIcPH8bEiRPxwgsv1Mje0NBQXL9+HXfu3EF4eDh69uwJc3NzjcAAyNvSrVs32Nra1uizGKauwB4MuXB2pnLhAHDkCD1KZbYrm6oqVfGUBImvL4kOtRo4dIjuTgFg82Yq/NW2LdChA01eXjr5GmUyZAgFrt65A/z+e8V325UlM5OCPjMzafjEUC3pjZVffil/WclA382bK7/ut99W36ZiNG7cGAcOHEB2djYyMjLg7e2NMWPGICAgoNz3eHt7w8/PD1FSX50SXL16FT/88APOnTuH9evXo3fv3qhXrx5Gjx6NCRMmICMjA06VCbAugx49esDKygrh4eEICwtDnz59AACdOnVCeno6rl+/jrCwMIwbN65a22eYugh7MIyB6pYLl4ps3btHj76+VIcD0K6KeeMGjaOfOEHlyydNAl5+GVi7Fjh1SvcVNC0sKBYDoM/QBYWFNCUnA2+9VeS1qavY2JQ/WVnpft1qYm9vD29vb6SlpWHXrl0YMWJEueumpKQgLi4O3mWIRyEEJk+ejGXLlsHBwQEqlQqFhYUAoHlU16DkvK2tLbp27Yrw8HAcPHgQffv2BQBYWFggJCQEGzduxK1btzj+gmGqAAsMOUlPp0BIKfNEuohWRmAIQZ4LtVrbgyEJjOIn6aVLqTfKCy+QV8PcnLwLf/4JfP219nZPnaLhlZr2B5GySfbupTb1NcXNjWIF/P1JWM2bB8TE1Hy7jF7YtWsX/v33X8TExGDPnj0IDQ1F8+bNMf6B8MzKysKcOXNw7Ngx3Lp1C+Hh4Rg+fDg8PDwwatSoUttbt24d6tevj8ceFHPr0aMH9u/fj+PHj+Ozzz5Dy5Yt4eLiUiObQ0NDsWXLFuTm5qJDhw6a+X369MHKlSs1IqQkMTExiIiI0JqyKmr6xzB1BB4ikZM1a4DDh6mPh6srCYW8vMoJDCmuQipGZWtLF2FJYBQfAlEogMaNaXrqKYr1uHABOHuW3qNQ0HoqFfDxxxQQaGND6zdtWjR5eRWt+zACAqguxp495HZftKjSP0u5uLjQ8Mi775JXZv584IMPyDbGqEhPT8e8efPw33//wc3NDU888QQWLVoEywdi2tzcHBcvXsTGjRtx//59eHt7IzQ0FD///DMcSwQn3717F4sXL8bRo0c187p06YLXX38dQ4cORf369fH999/X2ObQ0FB88MEHePTRR2FhUXRq7NOnD9555x3069cP1tbWpd43e/bsUvPCwsI0XhCGqasohKhbHaYyMjLg7OyM9PT0ao/X6oz16ykTZMQIamMeGUmVPFu0oL4cFXHrFvDKKyRI9u4FmjUjb8izz5L4WLmSLvJVIT2dMjeio8tOTezZk6ptVpZffgFGj6aMmX/+oewGXZCdTZU+r16lolwffAA0b66bbRsZeXl5iImJQUBAQKm0T6b2wP8zYypU5RrKQyRyIlXzLF4Lo0EDoAw3bCmysqgrqeRR8PWlC69UlKo6QZzOzjQM8fPPVPp85kxg6FASLxYWVKWzKowYAQQFUdxESAi1adeFnrW3J1HRujUJDFfXmm+TYRiG0Sk8RCInZZUL79IFmDLl4e9t3Zo8BB98QMMQvr60HYWCSpXXJJXOzIy25+sL9OtH85RKig8BSCScPg107FhxaXIrK8qQmTgR2L6dOs3u3w989512F9XqYGtLXoy0NHn7rzAMwzBlwh4MOSmrXPidO5V/v0JRVF7c15c8DNu2UUCnrrGwoIu6EJTF8cEHQLEx8XJxdaV+KV99RR6Xv/+mdNkDB2puk7W1tqfm2DFg166ab5dhGN1RUECxZr/8wl2S6xgsMORE8mAUvwu/c6dq5cJLlgm3tKy5d6AiFIqiyqO//FK5IQ+Fgvq0nDxJ8SV37lBjt4ULKbBUF8TFAZ98Anz5ZfUarTEMo3uysyl77eOPgY0b6RitaYYaYzKwwJATJ6eiOgRS5Pzx41Qu/EHnx3JZv546j0pFiQzZh2TYMLL75s2q9Qlp04aGVsaNo5PMggU0BFOiw2a1aNgQGDmSnn/3HVURrUXxy3UsFrvOUSv+XyEou+vff4vm2dtTsHm9enTOOHWKWggwdQKOwZAThQJ4+mlKCZVqYUjtyR+Wqnr5MnD9uvYQybffUpDniBFVzyCpCk5OwKBBVEfj11+Bdu0q/157e8qQ6dePvBoHDpBH5PvvKaC0uigUwIsvAg4OJDB+/ZUCYadOlbeFfQ2RSmsXFBRwiepaTM6DNgGWle3GbEzcvUvHcVgY8N9/dLx1705B4wANqTo50ZDq//5H5w0fH7pRYWo1LDDkRiqjfeMGPUpZIA8TGKmpFHgpFfTx9aXYi8REoH9/fViqzciRFE9x/jx5Uapai+L55ylb5umnqR7HsGHA7NmUxVKyumRVeOIJEhmrVtGdVHY2bdfCNHd1CwsL2NnZ4d69e7C0tISZCYslpjRCCOTk5CApKQkuLi5avVqMmrQ0inkKDweuXCmab2lJgeo5OUUCQ3rs0YNuAr7/nir8entToDhTazHNs25tRAryLCwk4VCRwBCCBIYUMOXkRJ4BqRGYPvuMSNSvD/TpQ3ct27bRXUpVadqU7mrmzqW6HcuXU5v3n38GAgOrb9ugQfR7LFtGPVmCg4HBg6u/PRlRKBTw9vZGTEwMbhdvYMfUKlxcXOBliOO2uuTl0bCmnR29PneO2g4A5D1s0wbo25c8F/b25W/niScoBuvaNcMO6zKywAJDbrKzya1obk5CISPj4dU809PpYJcEhq8vZaKo1XQH4e5uENPx+OMkMJKSSBhVx71rbQ2sWEFDJuPHU4xG9+6UetumTfVt69mTToZHjwKPPlr97RgBVlZWaNq0KQpq0pmWIVQqEucqlbYQj4mhY06pLErJlsS+ENr70L59VOiu5HrS87feov0aoOMjJoZeW1nRo/Tcygro0gWWdnbG57kQgr7juXPkYbx8mYI1pTLu7dpRwHZICNC7d+XPOQoFMG0aBbFLYoWptbDAkJsjR4AvviBXoY9P5QSG1ORMongPEk/Pypfzrin+/iQOAgJq/pmPPQZERBQ99u1LKaedO1d/m1LnWAmlkly3cldwrQZmZmZc4bE6ZGTQ3fLVqzRdv07Hl709sGVL0Xo//kj7XVmYmxcFEAO03vHj5X+mo2NR3M+FC5SiWR5bttD2AeCHH4AzZ8ib6eOj/ejkpP/juqCABPm5czRJPY4kpGFcgFoMLF1avc+xsNAesoyIILHC+3etgwWG3BQvtuXtTSfB/PzSB3dxJIEhpXuV1+TMENRkKKMkvr50xzd4MJ3A+/UDdu4kb0RNUatpCObGDarh4elZ820yxoUQ2hfhjz8u++JuZVW6EJ2fHx13lpa03NJSeyq+7f79qdCdtK60vvRYPE6mf38qY5+Xpz3l59Nj8d4mN25QPFNZ7ert7Sn7wsGBXl+7Rtvw9ibvQVVic3JzgdhY8lBYWBQV0wPoZkfylFlbkxexfXsS6lIxQF3yzz801NK1K/UWMtTNEWMQWGDITVnFturXr7hceG4uHfxSZc3iAkOucdycHEpbbd26ZttxcQF27yZPRng4MHAg8Pvv1DitJty/TyflpCTgjTcoRVaX4ogxPELQxfjkSQo0vHGDMoikO2HJbd+wId0hS5Ovb+kL8sSJlf/cypTyl+jYsfKBjC+9RPv7nTuUHXbnDk3JySSQi8c2bN1alMpuYUHnDG9vEs7e3hQ0LXkJjhyh3+b2bRIVUqwWoF2t18qKPt/GhkRFUFD1hj2rgr8/eXCOH6fssgkT9Pt5jEFhgSE3kgcjJ6fogteqFTB5cvnv6dWL7uqli67Uh0ShkOfOPD6eMjUAqs9RUZBXZXB0JM/FE0/QHc6wYZR2Onx49bcpuXTff59Osm++Cbz9dtVSbBn5UamoKeCxYzQlJ2svj4qioF6A9p8xY4pqzBg7DRrQVJKCAiAlRfvu3sOD1r17l4b+JDECkEAYMaJo3S1baJ8vjpsbeW0aN9ae//LLOvkqlSYoCJg1i47NHTvIS2LiMVNMESww5MbGhtyeWVlFJ8LKlAtXKIoKVEl3IZMmyVMlz8eH7hbj4kgQPPlkzbdpa0snnGefpT4mjz8ObN5MF4zq4uZGefiLF9PY+IIFwGuvAaGhNbeXMQx//kn1XiRsbKhLb9u25J1o1KhoWW1pgmdlVXroc+pUelSrSXwkJhZNhYXaYqRHD/pt/P1JVPj5GZfo6t2bznk//EDDJV5euhP+hYXkvbx/n7Yrfe/bt6kLtTTEVXJq1qzoN8/JoSFrHx8ewqkiLDCMgXr1SGBIUdV37pBHQhrXLQshSpcJr0n9iJqgUJCo+OwzGs547DHd2GJtTSmr48eTuHj2WTrYx4+v/jbt7UlYfP45pcQuX06/fU28I4zuycuj7IWjRylTISSE5nfpQsMDXbvSvLZt5dvvjQEzMzp/1KtX5LkpydNPG9am6jBmDJ33wsKoFs6nnz48jVWKFZH+/ytXgL/+IjGRlkaTVCcIIK+lFM8VHw/89lv5237llSKBcfUqeT7t7cnjEhQEtGxJIqQu73uVgAWGMeDhQals0pjpxYt0Upg/n1I2S7J8OcVsSFU/GzY0nK3l0bs3sGkTuaz379edm9PCggrz2NlRcZ4JE0hkTJ9e/W1aWgJz5pDX5a+/OBbDmIiLA376CThxougCUlBQJDB8fGg/M7a0TqZmKBR0UU9KopTYo0dJdBQWFsWjFI9LkWJT5s0r2jfu36ebhpJYWFBsV3Hvro8PDaEVFJQ9Fe/npFDQzU52NqXRnz5dtN3GjSl9tyYp9bUYFhjGQP/+FFQlue8eVi78/PmiMVV3dxqHXbuWClfJFSRlYUGpfN98Q0MaAwfqrkS3mRmwZg2JjM8/B2bMoN9o7tzqb1OhoN/q0Uf1Ex3PVI3UVBIWu3YV9ZDx8iKB3aOH9rosLkwPtZpuDKQsmLKwtKS4qBMniqoRnzpFHo3yuHu36HnjxhSs6+JCw2OurvTcwaH00Ia/P/VEqgzt21McS0wMeUkiI2lKS6PA8eKBsGfOUFBtu3a075pi6XcdwgLDGJAUuFQmvKCg/GqeajXt2Lm59NrXl+76Ll2Sv0vhoEE0pJGQQHcgukgvlVAoyHPj4AB89BG5O7OyqCNrTcZFi4uLW7fo7njWrIpPhIzu+eijovTMbt3IgxcYyGPeps7169RFddMm8jqsXl1xxo6jo3arAx8furHw8dGuDSJNxWNJ6tfXDm7VJRYWdAPXtCkNAQtB4iYyUjtQ9uRJKhK4Zw+VSB8wgG5i6mhaPAsMY8LRsSjgMz+/bIFx/z7t3MWreMqdoiphY0MNy37+mfLsdY1CQR1k7e3JNfrhh+TJ+PTTml+IhKBI9thY8ox88IF+297XdZRKepSGBZ9+mmIrJkyg8W3GdElNpXPAxo2lC5JNmkTDHlKQ6sPw8yPvgbEJTYWCzrclz7m9e9N58MABCr799VdqpdCpE9X36dTJ+L6LHuHOScZAQQG52k6dKgosKq+aZ0VVPA1dZKssHnuMhmuefVZ/n/HWW9S7BCCvxuTJlL5YExQKqo/h5kYeoTlzSqf2MTVHCPJuTZ9OGSESnTuTwGNxYZoUFgJ//EHB3t7eVA78+HEa3hw8mETCzJm07rRpVAG4MigUpnVBbtWKgtC//ZZi6Nq1o33+1Clg3Tq5rTM47MEwBu7fpwuapSUdnFFR5VfzlARGWUW2jMEN5+homBS4V14hT8akSRT3kZpKaW41KTfs70/ekPffJ5Hx5pvAO++UH53PVI0rV6hOytWr9HrXLorbMbWLCEMIQZk+GzdSqfXiNUnatKHOqc8+W3SXP3o0BUt+/DGJjYICEvW1EXNzisHo3p0yVv79l+qWSPt5QQHw9dc0HNSiRa3d/1lgGANubrSDFRYWueUf5sEoPkSydy89NwYPRnHi4+kORl92TZhAQVzPPEOBpUOHUupZTQROvXrAJ59QTMDly8B77wGvv67beJK6Rnw8ZQIdO0avra2padaoUbX2xFprKSyk//HffyklPTKyaJmnJ/Dcc5RV0bZt6fcqFBSwaWVFw5tz59KF9u23DWe/HDRoQFVai3PkCFUs3r2bbmwee4zq8VjUrktytYdICgsLERcXh2vXriG1pNueqRoWFkVFgZyd6dHNjXL+S1JQQHfpUn63tzeN9QHyx2AU588/aZx140b9fs7jj1NxLwcHSo995BFK4a0JDg4UgxESQrECxTMbmKqxdy9l/Rw7RheYQYNoCO2557ibpqkQH08u/yefJAHepw8JhchIEotjxgB//01doZctK1tcSCgUdGx9+CG9fucd8hjWteMrMJACQK2saCh25UqqovrPP0Xe6VpAleRSVlYWfvjhB/z00084efIk8vPzNcsaNmyIgQMHYvLkyehckw6YdZV69cg7IZ10/fzKjrZ+7DEqCiUNBTg7kxjJzi4SJ8ZAcDCdNI4coehxfaaCPvJIUZO006eplPru3dpVHauKlRUNkezYQdvlO+3q0awZ7QcdO9Jd3MOKJ5kiUsaXNKlU5CKXuoZW9NzSkjxuxrR/FRZSnMw//9B04YL2cnd3EoqPPkrnIheXqn/GO+8UHWMffEA3TosXG9fvoE/8/IBXXyUv7O7ddJ5JSgK++oqCnVeuNK5qq9Wk0gLjs88+w6JFi+Dv74/HHnsMb731Fho0aABbW1ukpqbi0qVLOHToEAYMGIBu3brhiy++QNOmTfVpe+2iXj0K9JQqw1VULjw5mQ5IhYIu5N99Ryc5Yzo4/f0pcO/UKTp4alIYqzJ06kSdMwcMoN+xRw86cIOCqr9NMzMqxlOcAwdo27XMlakzEhOpUJzUJ6dRI+rQ2bChce2fxRGCBLpU/bH4JFWFLC4gSr4uXi2yOtja0u/UqBFdeEo+b9hQvxUjs7PpPzt3jjxOe/dSm3sJhYKO5cGDizIhdFGLZO5c+l6zZlEJ/4IC3WSEmRIODuSFHTaMPKXbttH/XVxcqNW6qylkYCp9ljx69CjCwsIQXE7AW5cuXTBhwgSsWbMG3377LQ4cOPBQgXHw4EEsXboUZ86cQUJCAnbs2IGRI0eWu354eDhCy+gbceXKFbRo0aKyX8U4kZqeSQduReXCpRLhnp5Fy4zxgvfEEyQwdu2iA+bZZ/VrZ/Pm5DEZNIgCCnv1oqZpZQ01VYcdOyhIce9eihAv2fK7LlNQQHEwv/xCd8BNmgABAbTMGLwW+fk0TLNvHxVDSknRFhFS2mxNcHAgL6KlJXkxlEqaynpePOspN5dE8bVrZW9XoaCh0OKio7gQadSIvAgPuzALQcMd58/TFBFBj1FRpYco6tWj42jwYBKL0vlJ18ycSeew6dMpI6yggO7edSEysrNp2CYujh6LP09MpO9c3Ktkbq79vPg8R0dqWd+lC2WGWFvX3L7iWFmRN+jRR7XFXVoaxYANGUIxZiZ2zqn02f6XX36p1HrW1taYNm1apdbNzs5G27ZtMX78eDxR8k6xAq5duwYnJyfN63r62vkNiRTcKRXLiomh2gDvvqt9gXz3XWq9DBjHibsiWrakIZ0//qALz4ULFDWuz2wXX1/g0CE6IE+epOGT337TLt5TXRo1oqGpiAhKlV2woPY01KoJ585RAaWEBHrdpo3uT8BVRaUiu/bto+nw4aLidOVhaVlUAbJ4JciSlSFLTq6ugJNT1ao2CkHHen4+3UzExhZNt29rv87LKyqPXbKuhISjY9leEKWySFCcP18Ur1USLy+KnQgJIVHRsaPh7pqnTaML7OTJwJdfkkD96quHf35BARAdTVlJV6/S71ZcTJSVhVcTvvuOHi0tSWR06UJT165UgEsXv5elJQ1BSezaRTFl339PAl4aIq9px2oDoRDCOKJrFApFpT0YaWlpcKnkuF9+fr5WrEhGRgZ8fX2Rnp6uJVJk59YtclN6eBRV9hw8mBT+wIH0WqWiyPuYGKrc+fjjdAGNjycxYqz18I8cITd5QQHdpfj76/8zs7Lo99mzhw7aH3/UTZfXqCiqHpqeTkJp4cKyW2zXBZKTKUX4yBF67eZGcRa9ehnezS0EeQAkQREWVjoLy8uLjpfevckjUFJI2NkZn3teCLrAlBQfxUVIVYKazc0pLbJtW7pItm1LkzGkuH//PdWQEIIe160je9PTi0TElStFjzduPLz+jaMj3XQ0bEiT9Nzbm7Zd3KNU3qNKRb/xqVNUxrx4Oq6EszMNI0mCIyREN4X6VCoalt26tah7tr09eZWGDJElczAjIwPOzs6VuoZWS2Dk5eXhiy++QFhYGJKSkqAuUaL67NmzVd1klQSGv78/8vLy0LJlS7zzzjtlDptILFiwAAsXLiw13+gEhoQQ5GrNyaG0pSlTKH8coLuPcePoAIuOplbjKhWJkwUL6K7DWElKIpsl8QTQd9XnCT0/Hxg7lrwnCgXdZb/8cs23m5BAke8JCXTn+t57NDxTl1AqKQg5JYXu3IYPpyEwQ2aGKJUUZ7N1KwnJknFLTk5A375Av340tWxpfAJCF+Tk0J17cdFx+zZNQJGIaNuWCkHVpFaMvvnxRzpm1WqyNTW1yDNWFo6OJJiCgigzo7iIaNiQ9gFdIgSdb0+epOnECRpyk8oGSFhYkLdh4kS6QaxpzIpaTV64LVuKhshtbKjLtIG9hVURGNUaEJ8wYQL27NmDJ598El26dIHCQAett7c31q5di44dOyI/Px+bNm1Cv379EB4ejt69e5f5nnnz5mH27Nma15IHw2iRxltv3ChdLlxKB5ZUe8OGtIMDxpWiWhb169Mkce0ajbXOnq1dy1+XWFtTAy03NypqM2UKXRDnzavZhcbbm6pOLlxIHo133qE7eWPK4tE3FhYUY3PoEKUjS/EW+kYIyhTavJn+2+J379bWFIArCYqOHY0zNknX2NmRwK0NIvfZZ8nj+OyzVIdGwtubRIQkJqTnPj6GFY0KBe3rAQGUngvQkM7ly0Wi49gxSuHdvp2mhg0pW2TCBBq+qg5mZuR569WL9v+dO+l8KokLIUhkd+1qXOchUQ2cnJzE4cOHq/PWcgEgduzYUeX3DRs2TAwfPrzS66enpwsAIj09vcqfpXeuXxfi0CEhQkKEAITo0EGI//2vaPnx40IMGyaEjw8tX7+eXg8fLkRhoXx2V4e33iLbR44UYscOIdRq/X2WWi3E22/TbwYIMX26EEplzbebmyvE++8L8eefNd+WsaNWC7F3rxAXLxbNU6n0+78V58YNIT74QIhmzYr+R0CIevWEeOUVsi0nxzC2MPrn0iUhNm6kc15amtzWVJ0LF4R47TUh3NyK9lWFQoiBA4XYulWI/Pyaf0bxY+/q1aLz6bJl9FpPx2ZVrqHVkvcNGjSAo5Hk6Hbr1g2bN2+W2wzdsHQpuQOl37Y8D0ZODj1Krk4PD9O7U5s/n+Iyjh2jIj4RERRvUp2c+oehUFBlznr1KCVu1SoKAvvxx5q59G1saKik+B3UnTv0f+gzrdDQZGXRb3b4MH23L7+kcWB9BwGmpNDwx+bNVJdBwtaWSoyPHUvBu3W8JXatpFUrmkyV4GDg888p/fa338jDuW9fUfVODw8qpf7SS9VPpS9+3lEqKdA0Korij8LCaMho6FAqjCZT0HW1zhDLli3Dm2++idvSGJ+MnDt3Dt7GViK7ukjZMFKEcMly4amppIWlNCZpXM8Uv7+jIw1VSBHkZ85Qf5Fz5/T3ma+9Rhcsa2sqc6yLqp/FD/L8fIqFmTmz/JRDU+PyZfpfDh8ualylz1Q5ISjraOTIoqZZR4/SZw8YQIGAd++SOBw8mMUFY9zY2FAA/t69NOz99ts0rJOcTFVPW7akYb0ff6xZqnSrVhRAv3w5DQ9aWgI3b9JN3I4duvs+VaRaAqNTp07Iy8tDYGAgHB0d4ebmpjVVlqysLERERCAiIgIAEBMTg4iICMQ+aPU9b948vPDCC5r1P//8c/z222+IiorC5cuXMW/ePGzbtg0zZsyoztcwPiSBIZ3AHR21U1TVarqgqdUkLqQd0hgiwKuDQkEXieXLKaXu/n0KmDx1Sn+f+eSTdLC7uVH8SkgIBZ/qgvh4SoWMi6N03PXrKXPGFFEqyXMwbx6dDL28qEfL6NH681ycP09BmSNGkAAsLKRMh2XL6DfdvZv6XBiJ95RhqkRgIHlSb9+mVgojRtB5/OhRKp3ftCl5CiUPdXVo2pRucL7/nmI+GjQoykKUgWr51Z955hnEx8dj8eLF8PT0rHaQ5+nTp7UyQKRgzBdffBHfffcdEhISNGIDAAoKCjBnzhzEx8fD1tYWrVq1wt9//40hQ4ZU6/ONDimtSRrucHendC2JsWOp9PJff5EKtrCgC6UpejCK4+cHfPYZDZVkZek/G6ZnTzqoH32UxEX37nTAd+tWs+0GBlL+/rp15KLcsYOCvl57rWYVRQ1NTg4JPckL068fZd/oy3ORnEz1XdauJfFsa0uFl158EWjdWj+fyTByYWFBlTuHDaMh8W+/pYD3W7eob8/ChXTOmDat+nV2HB2ppIHUrVguqhPkYWtrKyIiIqrzVtkx6iDPf/+lQJ0XXqCgoJYtS6/zyy+0LCSkaJ6hAu0MQfHvolTqJhizPBIShOjYkX5PW1shfvtNd9s+eZL+RykId+1a0wnEVauFWLxYiNGjhThwQH+fU1goxMqVQri6FgXCjR4txO3b+vtMhjFGcnKEWLVKCH//omPBwUGI118X4r//5LZOi6pcQ6vl62zRogVyH1YVj6k6kgdDGvq4c4fu6Iu72aUc6OKptrUpt1/6LkIAK1YAH3+sv+6CXl5AeDgVrMnNJcW/apVutt25M3kz+ven75KYqJv+DfoiJ4dKKwP0H8yYQeO35aR/15j9+4H27anhU1oa1WgIDwd+/rlmTeoY4yEvj4Yj//1Xe76pDhvqE1tb8lhERVE8Rps2dO5ftoxSYidONMm4rmoJjP/97394/fXXER4ejpSUFGRkZGhNTDWR6kRI4u3+fRrzvniRRIcUpAgYf5nwmhITQzUWjh2jboslC9noCgcHGu+fNImEwIwZ1OGxRPG4amFvT//ZwoXk8pfEU3a2/r5PVSkspIvAK69QdohUd8/RUbtuia6IiaH6Gf36UTVad3cqgHbmDEW7M6aNEFRlc+VKGtJdsYJieaSbpps3KTbg0CF57TRWLCyAZ56hrLqdO0ngFxbSMEpQUFF/JxOhWpU8zR4EeZWMvRBCQKFQQPWw8q0yUpUqZAYnP78ohSk0lF4/8gildLZtS/EYZ8+SZ2PBAqrYFxhIkcm1kfPnKSgqL48Orvff118NfiGoXfQ779Drp5+m3gP6SO9avpyyM159lf5XOcjIoFbcf/1VlKlUvz7Zpo9CPdnZlLK3dCnt1+bmdMe2YAHFETGmTVoaeaX27CkqaQ1QrNiAAVTp1dqaYq3276dl/ftTbI8xVxY1Bo4eJU/uH38UzevalW6KxoyhmyQDovdS4QcOHKhweR8jvhMxaoFRnMBAutvr0YOigoODgTlzKPPh3j3a4Q4doiqYn38ut7X64+pVughlZ9Nv8sEH+q1Ut2kT3WEplXRHvWOHbhuaZWWRVyMpiV43b06f07OnYRqn3blDefn79hW5qj08ijo56rrUtxDAr79Sxdb//qN5jzxCd7YcwFl7WLeu6AJobU3788CBdGNQsl7DTz9R+X4hKMvhjTf0V823NhEZSZlcP/xQ5BFycKCqpxMnAp06GWS4XO8Cw5QxGYHRowcp144dqcR1q1Z0hx0WRhfbTz+lMesePaizZ20mJoayDNLT6YT00Ue6aSRUHnv3UqO0zEzKU9+5s/olfssiL4+8Izt3Fg1JKBTkzRg1itpC64udO2lIAqCT+qhRtA/po1BbXBwNDf35J7329ycPidyR7Uz1ycujWjWnTpH7vl07mn/rFsUvDRxI4uJhGUeXLlF8QXIy7XsvvKD//SIujrI2EhPpJq2wkIZC1Wq6aRk7tmjd9eup3oq03NKSYoMCAuhGp359+fbhu3cpDfWbbyhmQ6JtW/JqPPecfgoWPkAvvUhiY2PRqArBV/Hx8WhQV7tM1oT//qODVbpLl4ptpabSji4F4kkxAqaeoloZAgLIY/POO3RwSdUy9UX//lRYasgQumvo3p0uzNLJtKbY2JBoHDOGPufAAQrgioigXgMSeXlUc6K6VUGVShKpNjZF9VT69aPhmUcfJQ+CPk6SajWwZg0J38xMOjnPn0+xLfos0sXoh7t3Kd361KmieDCA9h3pmPD3p+GvytK6NcVpSNV816+neJzqBhULQcM0d+8WiQgLi6JGkQClXpfVCRWgoZziAuPcOToPF0fqGuzoSF4EibNnyZPg52eYipmensDcueT5OXCAvEfbttGQ8owZNP+pp0hs9Oghq5ivtMDo3LkzHnvsMUyaNAldihd/KkZ6ejq2bt2KFStW4OWXX8Yrr7yiM0PrDH/8QWPjUhxLcYEhtZ23tCwqxmKqRbaqSoMG5B6MjTVMW/o2bejEN2QI3W316kUHsS6L1ri60tDE8OF0Qjx4ULvb7J49NGQTEkLDKG3a0H6Rm0v7QvEgzAsXaNglN5emrCwaQktOpoDgzp3pRGNtTScgfREZSSc2qbR39+50p9Wypf4+k9EP2dm0r0iZaxJeXiRYe/So2falar67dpF4KS6uK8v69bTP3b5dOnDaw0NbYAQEUHdVb++iRmFmZjSVvBN/6ik6hqTlubnkSY2JoZih4hftVavo2FMo6DwVEEBDQ7166dWTAIWCCtP17UtCbfNmEhuXLgEbN9IUFETDJ2PHFhVyNCCVFhhXrlzB4sWL8eijj8LS0hKdOnWCj48PbGxskJaWhsjISFy+fBmdOnXC0qVLMXjwYH3aXXuR7sylEshSP5KUlKLskoYNSakDxt9FVZfUq6d9kPz3HwmtZs3083m+vnSRfvxxGpoaOpQO4HHjdP9ZXl7aJ0OARENuLsVL7Nunvczenlo3S/zyC3lASuLsTHeFSqV+y2oXFFAQ56JF9NzBgV5Pnar/niXGhhAkBJVKmuzsin6DtDSapGUqFf2XLi70X8mRyqxWU2BmVBR5nEaMoPn29rTMzIyGaDt3pqlBA93dFSsU5E0bNKhom/n5dKMlCe9bt0hAxMSQiPjf/4ref/16UfqmQkHnBy8vmry96b+Qtvvee5W3qyJPSvGoAqWSfo/8fBrC/e8/mg4dImEdGkoxdPrGzY2Cxl95heL01q2j88OVK8Drr5OYmj5d/3aUoMoxGHl5edi5cycOHTqEW7duITc3Fx4eHmjfvj0GDRqE1kYeuGX0MRhhYTRODVCEf5MmNDSQnk7BUcePkzL28KAxxG++qTtejOLcu0d3V9nZFJ+hT69Gfj41JZLcogsX0mfq2/UopfwdOEBDKcVTwO3s6AQi2bB5M/U6sLGhYQhbWxor7tVL/43Xjh0jr4XUXnvoUIrzqG2p1Go1iYOUFDouJdGwcyd5bJKTydNYskbQt98WeZvWry+/N4RCQXEJTZvS6zNnaHJx0Z7c3OixunEz8fF0UY6Opkm6cAO0//z4Y5EYjYmhi7YhMxVWrSpdO0NCoaBUfSnz5ORJErR+fiQo5Gr6KA3RxMRQKu6JE/QbjxpFQeMA7T+XLtHwkCFEd0YGnSM2baI4KB15U/QSgyFhY2ODxx9/HI8//ni1DWQqQLpDl4ZIbGyoZDJAJ4Hjx2m8sFEjcsvpMxbBmHF0JE/O+fOUvvr66xRcpg+srcnd6OtLd0/vv09DNatX69croFDQ0ELLlsDkyXTCsLGhqaS4ef55/dlRHpmZlCIt1c+oV4/G1ceMMb0gTqnPj2T3qVPkEUpOpiklhS4gUuzThg1Fx15iIu2H5VG8UJyDAwkECwuazMzod8zIoN+w+An70qWiANmyWL68SIycO0ceL1dX2r70mJ9PHoA+fYq+2/r1dGEujrU1CdJWreiCLe3XAQEV/Wr6oUsXEmwZGSSk/f21p+IiopzheoOjUNDv7eZGgflPPUWxYsXF/fnz5EVxd6f/IzSUvo++cHKi88bkyfr7jIdgYj2+6wCSwJBSCBMSipZJY6EBAcCSJYa1y9iQWqUvW0bBV598QickffWlMTOj37xRIwqk+vZbuhP85RfD3N2ZmxsmjbWy7NxJgarSPvnii/RfuLvLa1dFCEF3mJcvkwdMEg/37pHnQQo0BCiYsXjdAQkzM/ofijek6tWLjkl3d5rs7YsEhIWF9rDH6NGlh8IAEi6ZmdqN3CSvXHo6DZPev08i5/59cs0XT9c+f55ihMojOLjou7VqRfEFTZoUTQ0aGM9QVufOlGWVnk42m5pYlfDx0X6dmkrnipQUYPt2mgICSGiEhuo3XkMmWGAYG9IBJZ2UUlLoJOjkVHaZ8LqMpSVFU3/9dVH6ZVoa5YXr66Q0dSqdjJ9+mty4ffoAf/9dd2JhsrNprHf9enrt709NygYMkNWsSrF2LQ07lkdyctFFuF072oc8PEj0S+LBxaX0hbhp0yJPQnUxMytd36V9e5pKIgSJkeLCVvI8pKXRhUx6NDOjdOTs7KLv9vjjNBkzlpa1zzvbrx/Fdpw6RSUGTp0qChzduJG8f7Xs3M4Cw9iwsKA7pNRUOsgKC+liZmtL6VAADQ0whJkZ3Um7ulKMxJYtdOKVAtX0wWOPUazM8OH0n3TvTpk/LVro7zONgUuX6O77yhW6+M6cCXz4of6qq1aX/Hwa3jh2jC6kUnp9q1ZUKbdNGxKJ9erRRUwSEcXvIDt00G89kpqgUJTOepACMItTvMYKYxxYWlJWWEgIicTDh6nuTkGB9nk9Lo5em/h/xwLDGJk4kXbE8+dpR8vLI4GRmkrLDx4k9+2LL1Yvtau2oVCQCHNxoQt9//76/8yuXWmcePBgCpQLCaH/RF9xIHIiBA0JvfIK7Yve3iTmQkPltqyIzEyKKzh+nESfNMTo5VUkMLp2pQBGQ9QqMAZM/OJU63F0pPPH4ME0ZCX9X3l5FMDu5EQ3M/37m2w5dRYYxogkGho0KBIYanVRpHduLqWpGnN3Tjl49FE6GIsHgRUU6C+LokkTEhmPPUYXtv79qcDUiy/WnpN7Rgb1i5BSYgcNIneuPhqhVYfERKoBcOmSdoO6+vWBbt0o4E5CnwG5DFMTig93xcTQY0ICDf9u3kzH3bBhstSyqAnVFhjXr19HeHg4kpKSoC7RefK9quQbM+UjVenMzy9KfbO1peAnoO6M+1eF4uLi99/J/bhwof4aatWrRzUqnn2WPm/8eEqjW7PG9NuOnz1LQyI3bpCYXbSI7qzkDgYsLhpdXSktUK2meJBu3WjIKiCg9og8pm4RFERBrvv20TklIYECQn/7jTylL7xgMhWcq9WLZN26dZg6dSo8PDzg5eWl1VVVoVDgrBQrYIQYfR0MgIZCIiOpIdSvv9KdsocH3SU3aVI01r9li/GNfxsLOTkUkJmaSnezH3xAHiF9oVJROfMPPiBB6OBAr6dMkf+CXFWEoNTTOXPoYt6oEdVgKV5l1NCo1cDp0xTMm5REtRKk8865c0WFlRimNiEEBYP+/julISsU5NWQ9nWVyuCebL03O/Pz88O0adPw5ptvVttIuTAJgXH0KKVEpqVRCqavL0WAR0TQSd7NjcbvfvxRbkuNm8REyjtPSKDxzAULah7t/zCuXqUYGqlvQc+eVAyteXP9fq6uSEujwkC//UavR4ygjBG5Wqrfv0+Bmbt2FXWgBUh8BwbKYxPDyEFMDA0FDh9eNO+DDygR4JFHyHNngFiNqlxDq3VrlZaWhqeeeqpaxjGVQBpnk7RfXl7REIkU6c7DIw/Hy4saMDVpQrEE8+eXXU5bl7RoQUG4X35JXozDh6nL4f/+p11wyRg5dozSM3/7jYYgVqygqpNyiItbt6i2yfjxVIkwKYlE9ahRlG7K4oKpawQEaIuLzEwaxoyIoKJrY8cCn31Gr0uELchFtQTGU089hd27d+vaFkaiZDXP4gJDGhJhd3DlcHamNvft2tHvuHAhsH+/fj/TzIzq/l+6RIGn+fnU1KlLF3LnGxuFhTSc06sXVSht3Ji8aK++Kl8cQ3o69XNQKsn7M2sWjUtPmMD7PsMAJLjXrKH27N7edH7bv5/aGEyYQF4/malWkGeTJk3w7rvv4vjx4wgODoZliejsV199VSfG1VmcnSlYUUqns7Gh+vWxsRRHYG4uTwlfU8XWlqp+fvYZeReKV2HUJ35+FDOweTPVjIiIoFoFb7xBQzdyty7Pzqb002XLaN8CKN33669L11kwhC23blGtCoBqVTz1FA0xsbeCYcrGy4uO2TFjqPfJ/v10jktJ0W7KJhPVisEIqODiplAocPPmzRoZpU9MIgYDoPrxt2/T+DNArverV6nOw6OPymubqSIEBQqWLEhkCO7eJY/A1q30ulkzis2Qo45JcjIN4Xz5JZ2IAGqYt2gR3fkY0mshBMWrrF1LAaWrVxtXSXSGMTUKCykwtG1bvSQB6LXZGQDESHm6jP7w8KBmOebmNFQitSSuZaVkDYpCoS0usrKoadX48frvJ+LpCfz8M/DMM8C0adRmundvCtodPRp48kn9ZrkAJFiXLydhI3lxGjcmj8qLLxq+mM+9eyQoTp2i1z4+FNTJAoNhqo9ULdQIqHH+nBAC1XCCMA+jXj26IEr9CaTfuGQDHab6fP45eYjeeIM8DIZg5EhKQZ40if7fo0dp+MTXlwTHl19qN7jTBZcuUe5848bU7yAnh8pg//wzCdeXXzasuFCrKe1u2jQSFxYW5Ob94gse+mOYWkS1BcbGjRsRHBwMW1tb2Nraok2bNti0aZMubavbDBlCrbD9/IrmOTjQ3fa0aUYxvmbyPPccpf/+9x+1e5e8RPrGxYWGBOLiKFOjRw/6Pw8donLcDRoAffvS3X1NhM/hwxR1HhxMmRgqFTVc2rOHhopGjzZ8NVilkgTdN99QUFpQEIme557TX8VVhmFkoVoxGMuXL8e7776LGTNmoEePHhBC4MiRI1i1ahU++ugjzJo1Sx+26gSTicGQGDmS7vYAugMNCqIL0Jo1sppVa0hJoVzymzfpAvf66/K4F+PiqKja1q1UUE3CzIzExujR1Lk1O7t06+6yniclUQVOgDwlTz5JnWc7dTLwFyuDtWspGG3cOCqBzBU3GcZk0HuhrYCAACxcuBAvvPCC1vzvv/8eCxYsMOoYDZMTGNOm0Z0sQH0VvL3pccECWc2qVeTmUs2F06fpYjdhAhWYkuvCd/t2kdg4ebL627Gyoov4nDn6LzBWEWfOUAyK1C0yN5cmuYp3MQxTbfQe5JmQkICQMu7yQkJCkKDr8eO6SkEBXVykviNAUSAi1wHQLba2wDvv0J31zp3An38CAwbIV4bdz488Ka+/TtX7fvmFxMa1azS8UnxydS3/devW8jZHysujNNh//yVbFi8m0WZrK3+KLsMweqfadTC2bt2K+fPna83/+eef0VTOO6XahFJJxY+k+gRA0Rg1V/HUPebm1DekQQMqymUsPV4CAmhoY+5cuS2pGpGRVHckMZFeBwZSDIhFtfsrMgxjYlTraF+4cCHGjBmDgwcPokePHlAoFDh8+DD27duHrVKeP1Mz7OxoKh7dL7nsWWDoB4WCWq8X5+RJKjXO7vzKUVAA/PADlRgXgjwoM2dS4SyGYeoU1RIYTzzxBE6cOIHPPvsMv/32G4QQaNmyJU6ePIn27dvr2sa6S7162imLUptqFhiG4dIlajrn4kKVQP395bbIuLl3j0qx375Nr/v3p3RcOzt57WIYRhaq7a/s2LEjNm/erEtbmJJ4eGh7MDp3Jjezp6d8NtUlPDzot46PpyGKefMAFtDl4+JSVLvllVeArl3ltohhGBmpdBZJRkaGJmI0IyOjwnWNOTvDpLJIVq2i0uDHj9PY9e3bRf1JGMOQmUnBiZcuFTUxGzhQbquMh4QE8rRJsRV37lD8ilQgjmGYWoVe2rW7uroiKSkJAODi4gJXV9dSkzSf0RFSNc/XX6egORYXhsfRkepkhIZSBcovvgC+/54LnQlB2TYzZlCWi4SPD4sLhmEAVGGIZP/+/XB7EOgWFhamN4OYYkgphtnZlNanUhm+8iJDtf1nzaLhki1bqEZFYKA8jcqMgeRkKrN+/jy9vnaNBAcXzGIYphjVKrQVGxsLX19fKEqcUIQQiIuLQ6NGjXRmoK4xqSGS5GSqxujtDfzxB7B3L5UKHzFCbsvqLvv2ARcvAq+9VjcvqBERwNKlQEYGBRxPmEBl7evib8EwdRC9F9oKCAhAQkIC6tevrzU/NTUVAQEBUKlU1dksUxIPD5oAGutWqQBjF0W1nX79aJIoKABSU2t/Zo8QNBSyeTM9DwykwFd9d4BlGMZkqVazMyFEKe8FAGRlZcHG0C2f6wpSwaLafiEzJYQAli0DZs+mGJnaTEICdV8VgoJcly5lccEwTIVUyYMxe/ZsAIBCocC7774Lu2L57SqVCidOnEC7du10amCd59Qpyh55EGDLAsOIyMmh2g+ZmdT5dtYsarleG/HxoYBOpZLKqDMMwzyEKgmMc+fOASAPxsWLF2FVrL2ylZUV2rZtizlz5ujWwrrOTz8BUVH03MqKag0wxoG9PRXi+vRTSiVeupR6hzzzjOm3HheC2rr7+QHNm9O80FB5bWIYxqSoksCQskfGjx+PFStWGH+QZG2gXr0igeHlxcF0xoa1NRXgWr8e+P13yjA5epTqZZhqeez8fOrgu28fxQB98UVRoz2GYZhKUq0YjA0bNrC4MBTFu2FyF1XjxMwMmDiRhIabGxWb+uorCso1NRISgDfeIHGhUABDhxpP4zeGYUyKapcKP3XqFH755RfExsaioKBAa9n27dtrbBjzgOICIzhYPjuYhxMSArRtC2zcCPToUVSzRMoEN3bv04kT1AE1O5uKZc2da7peGIZhZKdaHowtW7agR48eiIyMxI4dO1BYWIjIyEjs378fzlzFT7dIaaotWnD9C1PA3h6YOlX7wvzHH8B77xVlAhkjmzYBH31E4iIoCFixgsUFwzA1oloCY/Hixfjss8/w119/wcrKCitWrMCVK1cwevToKhXZOnjwIIYPHw4fHx8oFAr89ttvD33PgQMH0LFjR9jY2CAwMBBr1qypzlcwHSQPRnKyvHYw1SM/n9I7IyIoLmPbNsrEMDZSUuhxxAjqveLuLq89DMOYPNUSGDdu3MDQoUMBANbW1sjOzoZCocCsWbOwdu3aSm8nOzsbbdu2xZdfflmp9WNiYjBkyBD06tUL586dw/z58/Hqq69i27Zt1fkapoHkwbh/3zTH9Os61taUZdKmDRXl+u47qpshBe7KQW4uBaPGxRXNGz0aeOstiiWxqPbIKcMwjIZqnUnc3NyQmZkJAGjQoAEuXbqE4OBg3L9/Hzk5OZXezuDBgzF48OBKr79mzRo0atQIn3/+OQAgKCgIp0+fxqeffoonnniizPfk5+cjPz9f8/phnWCNDldXoGFDbq5lyvj40PDD/v3At99SKuvrrwPDhgHPPWe4IMrsbGpQ9scfVLsjJoYCOiUbfXwMYwfDMHWCankwevXqhT179gAARo8ejddeew2TJk3CM888g37FyyjrmGPHjmFgiVbZgwYNwunTp1FYWFjme5YsWQJnZ2fN5Ovrqzf79IJCAaxcSRM3OjNdFAoqMb56NdWTEALYuVNbOGZn60dIZmZSie8JE4AffqDXDRoAnTrp/rMYhmEeUC0Pxpdffom8vDwAwLx582BpaYnDhw/j8ccfx7vvvqtTA4uTmJgIT09PrXmenp5QKpVITk6GdxlpnPPmzdNUIAXIg2FyIsPSUm4LGF3h7ExDJI88Qt1Ii9eXeP99uvh3705Ts2Y1zzzZto06wD44XtGoETBmDNCzJ6XXMgzD6IlqD5FImJmZYe7cuZg7d67OjKqIsjq4ljVfwtraGtbW1nq3i2GqRLt2NElkZdGQRUEBiYJt26imRvfulP7aqlVpD1ZBAXU1vX8fSE8vet62LTUjA8gjkpcHBAQATz9N2zP2dFmGYWoF1RIYoaGheP755/Hkk08aNC3Vy8sLiSVS/ZKSkmBhYQF3jnpnTBkHBxrGOHMGOHYMOHmSurT+/TdNoaHk+QDI8/HRR0VeiZJMnFgkMIYOJa9F584sLBiGMSjVEhjBwcF45513MGPGDAwZMgRjx47FkCFDtHqT6IPu3bvjzz//1Jq3e/dudOrUCZY8jMCYOra2NHTRsyd5J86fJ7Fx4gTQoUPRejY2ReLCwgJwcqKhF2dnel48WNPWFujSxbDfg2EYBoBCiOpFlanVauzduxc//vgjduzYAXNzczz55JN47rnn0KdPn0ptIysrC9HR0QCA9u3bY/ny5QgNDYWbmxsaNWqEefPmIT4+Hhs3bgRAaaqtW7fGyy+/jEmTJuHYsWOYMmUKfvrpp3KzSEqSkZEBZ2dnpKenc7lzxjRQqWioQ0ofLSiguijOzoCdHXsmGIYxGFW5hlZbYBQnLy8Pf/75JxYtWoSLFy9CVcl6DeHh4Qgto0Pjiy++iO+++w7jxo3DrVu3EB4erll24MABzJo1C5cvX4aPjw/efPNNTJkypdK2ssBgGIZhmOphUIGRmJiILVu2YPPmzTh79iw6d+6MEydO1GSTeoUFBsMwDMNUj6pcQ6uVp5aRkYENGzZgwIAB8PX1xerVqzF8+HBcv37dqMUFwzAMwzCGoVpBnp6ennB1dcXo0aOxePFidO7cWdd2MQzDMAxjwlRLYPz+++/o378/zLhQD8MwDMMwZVAthTBw4EBNFsnXX3+t6Uty584dZGVl6dRAhmEYhmFMj2p5MG7fvo1HH30UsbGxyM/Px4ABA+Do6IhPPvkEeXl5tb+FOsMwDMMwFVItD8Zrr72GTp06IS0tDba2tpr5o0aNwr59+3RmHMMwDMMwpkm1PBiHDx/GkSNHSlXu9PPzQ3x8vE4MYxiGYRjGdKmWB0OtVpdZTOu///6Do6NjjY1iGIZhGMa0qZbAGDBgAD7//HPNa4VCgaysLLz//vsYMmSIrmxjGIZhGMZEqVYlzzt37iA0NBTm5uaIiopCp06dEBUVBQ8PDxw8eBD169fXh606gSt5MgzDMEz1qMo1tFoxGD4+PoiIiMBPP/2Es2fPQq1W46WXXsJzzz2nFfTJMAzDMEzdRCfNzkwJ9mAwDMMwTPXQiwfjjz/+qLQBjz32WKXXZRiGYRim9lFpgTFy5MhKradQKCrdrp1hGIZhmNpJpQWGWq3Wpx0MwzAMw9QiuFsZwzAMwzA6p0oCY8iQIUhPT9e8XrRoEe7fv695nZKSgpYtW+rMOIZhGIZhTJMqCYxdu3YhPz9f8/rjjz9Gamqq5rVSqcS1a9d0Zx3DMAzDMCZJlQRGyYzWOpbhyjAMwzBMJeEYDIZhGIZhdE6VBIZCoYBCoSg1j2EYhmEYpjhVKhUuhMC4ceNgbW0NAMjLy8OUKVNgb28PAFrxGQzDMAxTG1CpBczN+Ga6qlRJYLz44otar59//vlS67zwwgs1s4hhGIZhDIhaLZCQkYfYlBzEpmbjdkoObqfmIC41B7dTcpCeWwgrCzM4WlvA/sFEz81hb20BhweT9NzbxQbtG7nCx9mmTnv5uRcJwzAMUydQqtS4fCcDZ2PTcCs5G7GpJCT+S81FgUr3xSS9nGzQ0c8V7Ru5oKOfK1r5OMPKwrRDH/XeTZXRJl+pwhf7ojG1b2PYW/NPyjAMYwzkK1W4+F86TsSk4kRMKs7cSkV2QdmtLCzNFWjoagdfNzv4udnBz/3Bc3c71HOwRm6hCtn5KmTlFyIrX4XsfCWy8pXIylPS84IHj3lK3EzOxuU7GUjMyMPfFxPw98UEAICVhRnaNHBGRz9XdPBzRYdGrqjnaG3In8Sg8NVQB7z56wX8FnEHJ2JSsGF8FziwyGAYhjE4uQUqnItLw4mbqTgZk4qzsWnIV2p7JpxtLdHJzxVNPR3h505iwtfNDj4utjqNs8gpUOLCf+k4G5uGs7fTcOZ2GtJyCnH6dhpO307TrNfIzQ49mrijf5AnejTxgI2luc5skBseItEBEXH3MfbbE8jMU6JDIxd8P6ELHG0sdbJthmEYpmwKlGqcjU3Doah7OHEzFef/u49ClfYlzd3eCl0D3dDF3w1dA93R3NMRZjIEbAohEJOcjbOx93HmNomO60mZKH4FtrE0Q6+m9TAgyBOhLeobpXejKtdQFhg64uJ/6Xj+2xNIzy1EO18SGc62LDIYhmF0hXSRPhSVjENR93DsRkqpIQ8vJxsSFAFu6Brgjsb17I020DIjrxBnbqch7GoS9kbexZ30PM0yhQJo7+uC/i09MbClJxrXczCK78ECowL0GeR5KZ5Exv2cQrRp6IxNE7rC2Y5FBsMwTHVJzynE0RvJOBiVjIPX7yH+fq7Wcnd7K/Rq6oGQxh7oGuiGRm52RnEhripCCEQmZGBvZBL2XrmLi/HpWsv93e3QP8gT/YI80cHPBdYW8gylsMCoAH1nkUTeycBz3xxHWk4hWjdwwuaXusLFzkrnn8MwDFNbuZaYiZ0XE3Aw6h7Ox92HuthVysrcDJ38XdGraT30buaBIC8nWYY89E1Cei72XSGxcTQ6RSvLxcrcDMENKVi0o4GDRVlgVIAh0lSvJmbguXUnkJJdgJbeTtg8sSvc7FlkMAzDVMS1xEx8vvc6/rmUqDW/SX0H9Grqgd5N66FroBvsrOpWIH1WvhKHo+5hT2QSDlxPQnJWQal1/NztNIKjo58rmtXXT6wJC4wKMFQdjKi7mXhm3QkkZ+WjhZcjfpjYFe4OxhewwzAMIzfRSVlYsS8Kf124AyEo/qB/kCf6B9VHr6b14ONiK7eJRoMQArdTcnD6QWZKWcGiAOBoY4H2jVzRsZErhrbxRpP6Djr5fBYYFWDIQlvRSVl4Zt1x3MvMRzNPB/wwsZtRRgUzDMPIwa3kbKzcF4XfIuI1wyBDgr0ws38zNPN0lNc4EyI9txDnpHTY2DSci72PnGLBr1880x7D2/ro5LNYYFSAoSt53riXhWfXHcfdjHw0qe+AHyd1RX1HG71/LsMwjLESl5qDL/ZHYdvZeKgeKIuBLT0xs38ztPThCss1RalS42piJs7GpuH0rTTMHxIEL2fdXHdYYFSAHKXCbyVn45l1x5GQnofAevb4aVI3eDqxyGAYpm5x534uvgyLxtZTcVA+EBaPtKiPWf2bIbihs8zWMZWBBUYFyNWL5HZKNp5Zexx30vMQ4EEiQ1eKkmEYxphJSM/F6vAb2HIyTpMN0aupB2YNaIYOjVxlto6pCiwwKkDOZmdxqTl4eu1xxN/PhZ+7HbZPDeHAT4Zhai1XEjKw7uBN/HH+jsZj0T3QHbMHNkNnfzeZrWOqAzc7M1J83ezw88vd8My647idkoPP9l7HRyOD5TaLYRhGZwghcCQ6BWsP3cTB6/c087sFuuHVfk0R0thDRusYQ8ICw8A0dLXD0ifb4um1x/HTyTiM7xGAxvV0kz7EMAwjF4UqNf6+kIC1B28iMiEDAGCmAIYEe2Ny70C0aegir4GMwWGBIQPdAt3Rr0V97LuahKX/XsOasR3lNolhGKZaZOUrseVkLDYcuaUp421raY4xnX3xUs8A+LrZyWwhIxcsMGTizcEtEHYtCf9eTsSZ26no6MfjkQzDmA53M/Kw4cgt/HDiNjLzlAAADwdrjAvxw/Pd/LhFAsMCQy6aeTpidCdfbDkVhyU7r+KXKd1NskEPwzB1h9wCFfZeuYvfI+7gwPUkTWv0wHr2mNwrECPbN4CNpTxNuBjjgwWGjMwa0Ay/RcTj9O007I68i0GtvOQ2iWEYRgulSo3D0cn4I+IOdl1O1GqP3sXfDZN7B+KRFvVrZcMxpmawwJARTycbTOwZiC/DovHxP1fxSIv6sDQ3k9sshmHqOEIInI29jz8i4vHXhQSkZBc112roaosR7Xwwol0DLufNVIjsV7OvvvoKAQEBsLGxQceOHXHo0KFy1w0PD4dCoSg1Xb161YAW65aX+wTCzd4KN5Oz8fOpOLnNYRimDhN1NxOf7rqG3kvD8MTqo/j+2G2kZBfAzd4KL3T3w7ap3XFobijeGNSCxQXzUGT1YPz888+YOXMmvvrqK/To0QNff/01Bg8ejMjISDRq1Kjc9127dk2rwEe9evUMYa5ecLSxxGv9muL9Py7j871RGNW+Aeyt2bHEMIz+ySlQ4mRMKo5EJ+Pg9WRcu5upWWZnZY5BrbzwWDsf9Gziwd5VpsrIWsmza9eu6NChA1avXq2ZFxQUhJEjR2LJkiWl1g8PD0doaCjS0tLg4uJSrc+Us5JneRQo1Rj42QHcSsnBzP5NMbN/M7lNYhimFqJUqXEhPh1HopJxODoZZ2PTNIGaAGBhpkDf5vXwWLsG6B9UH3ZWfLPDaGMSlTwLCgpw5swZvPXWW1rzBw4ciKNHj1b43vbt2yMvLw8tW7bEO++8g9DQ0HLXzc/PR35+vuZ1RkZGzQzXA1YWZnhjUAtM//Es1h68iWe7NuKOqwzD1BghBG7cy8aRaBIUx2+kIDNfqbVOAxdb9GzigZAm7ujdtB5c7Tm9lNENsgmM5ORkqFQqeHp6as339PREYmJime/x9vbG2rVr0bFjR+Tn52PTpk3o168fwsPD0bt37zLfs2TJEixcuFDn9uuaIcFeaOvrgvNx97FibxQWjeIS4gxT2ylQqpGRV4isPCUy85TIzCtERp4SWfn0PLPY84w8JXILVFALASEAARIQAB68fjC/2PPbKTlIzMjT+kxnW0uENHZHjyYe6NnEA37udpwiz+gF2f1fJXdsIUS5O3vz5s3RvHlzzevu3bsjLi4On376abkCY968eZg9e7bmdUZGBnx9fXVguW5RKBSYP7gFxqw9ji2n4jChJ5cQZ5jaRIFSjWuJmTj/332cj7uPC/+lIyopE2o9D1JbWZihs7+rRlC08nGGOaeUMgZANoHh4eEBc3PzUt6KpKSkUl6NiujWrRs2b95c7nJra2tYW5tGx9Kuge7oH+SJvVfu4pN/r+LrsZ2qvI3rdzOxJvwGrCzM0L2xO7o3dufhFoYxMGq1wM3kLJyPSydB8V86riRkoECpLnN9B2sLOFhbwNGGJgcbS3qumWcJB2sL2FubU/YcUOzxwQQFpHszaZm7vRU6+Lly8StGFmQTGFZWVujYsSP27NmDUaNGaebv2bMHI0aMqPR2zp07B29vb32YKAtvPtoc+6/exa7Ld3H6Vio6VbKlcb5ShVVhN7A6PFoTtLXlQdpr0/oO6NHEA90bu6NbgDuc7Sz1Zj/D1EXUaoEL8enYG3kXp2+n4lJ8BrJKxDoANDzRpqEz2jZ0QVtfFwQ3cEY9R2v2KDC1ElmHSGbPno2xY8eiU6dO6N69O9auXYvY2FhMmTIFAA1vxMfHY+PGjQCAzz//HP7+/mjVqhUKCgqwefNmbNu2Ddu2bZPza+iUpp6OGNPZFz+djMPinVewbWrIQ8dHT91KxVvbLuDGvWwAQP+g+gjwsMeR6BREJmQgKikLUUlZ+O7oLSgUQGsfZ4Q0cUdIYw909nflSHGGqQYFSjWO30zB7shE7Im8i7sZ+VrLbS3N0bqBE9o2dEEbXxe0beiMRm4c78DUHWS9sowZMwYpKSn44IMPkJCQgNatW2Pnzp3w8/MDACQkJCA2NlazfkFBAebMmYP4+HjY2tqiVatW+PvvvzFkyBC5voJemNm/GX47dwdnY+9j1+W7eLR12SXEM/IK8cm/V7H5OP1GHg7W+GBEKwxu7aU5iaVmF+DEzRQcvZGCIzeScfNeNi7Gp+NifDq+PnATluYKtG3oguCGzgjyckILb0c0re8IWyt2qTJMSTLzCnHg+j3svnwXYVeTtDIyHKwt0Ld5PfRq6oG2vi5oUs8BFlw7gqnDyFoHQw6MsQ5GWSzffQ0r90cj0MMeu2b1LlXkZvflRLz3+2VNhPiYTr6YPyToocMfiel5OHYzGUejSXRI7ZWLY6YA/N3t0cLbES28nNDCyxFB3k5o4GLL/QaYOkdSZh72RiZhd2QijkanoEBVFEdRz9EaA1p6YmBLT3Rv7A5rCxbmTO2mKtdQFhhGSla+En0+CUNKdgE+HNkaY7uRVycpIw8L/ryMnRcpONbf3Q6LHw9GSGOPKn+GEAKxqTk4GZOKq4mZuJqYgSsJmUgt1negOA7WFmju5YiW3k7oGuiGboHu8HAwjQBahqkKSZl52HkhAX9dSMCZ2DQUP0sGethjYCsvDGzliXYNXVh0M3UKFhgVYCoCAwA2HruF936/DA8HK4TN6Yu/LyRg0c4ryMxTwtxMgcm9A/Fav6Y6jRAXQuBeVj6uJpDguJqQiSuJmbiRlKV15ybRzNMB3QMpW6VrgDsX6WFMltTsAvxzKQF/nU/A8ZgULVHRztcFA1t5YmBLLzSpz+njTN2FBUYFmJLAKFSpMfCzg4hJzoank7UmiCy4gTP+90QwWvk4G9SWmORsXEnIQETcfRy7kYKriZla6ygUQAsvJ43g6BLgBmdbzlhhjJf03ELsupyIvy4k4Eh0MlTFilK0b+SCYW18MCTYC97OtjJayTDGAwuMCjAlgQEA/1xMwNQfzgKgqPTXBzbDuBB/owgekwJIj91MwbEbKYhKytJabqYAWvk4Y3CwFyb2DISVhfw2M0xWvhJ7I+/irwt3cPB6spZnrnUDJwxr44Ohwd7wdbOT0UqGMU5YYFSAqQkMIQQW/hmJtJwCzBnY3KhPevcy83H8geA4fiMFN5OzNcuCvJ2w7Km2aOlj/L85UztJyy7Ain1R+OlkLPKLFbxq7umIYW28MaytDwI87GW0kGGMHxYYFWBqAsOUSUzPQ9i1JCzddQ2p2QWwMFPg1X5NMbVvY279zBiMfKUKm47dxsp9UcjIo7TSAA97DH8gKpp5OspsIcOYDiwwKoAFhuG5l5mPd367iF2X7wKgGJJlo9vyiZ3RK0II/HspEf/79ypup+QAIE/a20OC0KOJOxe8YphqwAKjAlhgyIMQAr9H3MF7v19CRp4SVuZmmD2wGSb1CuQyyYzOOR93Hx/9HYlTt9IAUL2KNwY2xxMdG/L+xjA1gAVGBbDAkJe7GXl4a9sFhF27B4Ai9Zc91RaB3DmW0QF37udi6a5r2HEuHgBgY2mGyb0b4+XegbC35pL4DFNTWGBUAAsM+RFC4JfT/+GDvyKRla+EtYUZ5j7aAuND/LloEVMtsvKV+PrADaw9eFMTwPl4hwZ4Y1BzTjFlGB3CAqMCWGAYD/H3c/HmrxdwODoZANAlwA2fPtkWjdyNN1OGMS7UaoGtp+Pw6e7rSM6iOjFdA9zwztCWCG5ouDoxDFNXYIFRASwwjAshBH44EYvFO68gp0AFOytzfDCiNZ7s2FBu0xgj5+a9LMz99QJO36Y4C393O8wbEoSBLT05gJNh9ERVrqE8KMnIikKhwPPd/NC7aT288et5nIhJxZxfziM2NQez+jflCwVTCpVa4NvDN7Fs93XkK9WwtzLH7IHNMbabHxdzYxgjgj0YjNGgVgss33MdX4ZFAwCe6NAQSx4P5osGoyHqbibe+PUCIuLuAwB6NfXAkseD0dCVh9UYxhCwB4MxSczMFJgzqDkauNrind8uYdvZ/3A3Iw+rn+8ARxvuaVKXUarU+PrgTazYG4UClRqO1hZ4Z1gQRnfyZS8Xwxgp7MFgjJKwa0mY/sNZ5BSo0MLLERvGd+ZsgDrK1cQMvPHLBVyMTwcAhDavh8WPB/P+wDAyUJVrKPueGaMktHl9bH25O+o5WuNqYiZGrTqKKwkZcpvFGJBClRor9kZh+BeHcTE+HU42Flj2VFusH8dik2FMARYYjNHSuoEzdkwLQZP6DkjMyMPoNcdwOCpZbrMYA3ApPh2PfXkEn+29jkKVwICWntg7uw+e6NiQh0QYxkRggcEYNQ1d7bBtSgi6BrghM1+JcRtO4tcz/8ltFqMnVA8CfUesOoIrCRlwtbPEiqfbYe3YjqjvZCO3eQzDVAEWGIzR42xniY0vdcHwtj5QqgXm/HIeK/dFoY6FD9V6cgqUmLL5DFbui4JKLTAk2Au7Z/XBiHYN2GvBMCYIZ5EwJoG1hTlWjGmHBi62WHPgBpbvuY4793Px4cjW3Pq9FpCUkYeXvj+Ni/HpsLIww8dPBGNUey62xjCmDJ+ZGZPBzEyBtwa3wIcjW8NMAWw5FYeJ359GVr5SbtOYGnAtMROjvjqKi/HpcLO3wk+TurK4YJhaAAsMxuQY280P617oBFtLcxy4fg9Prj6K/9Jy5DaLqQYHH/x/8fdzEehhjx3TQtDRz01usxiG0QEsMBiTpF+QJ35+uZsmjXXkqiM4G5smt1lMFfjpZCzGf3cKmflKdAlww/ZpIfBzt5fbLIZhdAQLDMZkadPQBb9P74GW3k5IzirA02uP4/eIeLnNYh6CWi3wv3+uYt72i1CpBR5v3wCbXuoCFzsruU1jGEaHsMBgTBofF1v8MqU7BrT0RIFSjde2RGD57mtQqznDxBjJK1Rhxk9nsebADQDAzP5NsWx0W1hbmMtsGcMwuoYFBmPy2Ftb4OvnO+LlPoEAgJX7o/HKlnPILVDJbBlTnOSsfDyz7jh2XkyEpbkCn41pi5n9m3EKKsPUUlhgMLUCMzMF5g0OwidPtoGluQJ/X0jA02uPISkjT27TGADRSZkY9dURnIu9D2dbS2x+iTNFGKa2wwKDqVWM7uSLzS91hYudJc7/l44Rq47g0oMmWYw8HL2RjMe/Ooq41Fz4udth+7QQdA10l9sshmH0DAsMptbRNdAdv0/vgcb17JGQnoen1hzDrsuJcptVJ/nz/B28uP4kMvKU6OTnih3TeqBxPQe5zWIYxgCwwGBqJX7u9tg+rQd6NfVAbqEKUzafwZoDN7i8uAHZcCQGr245h0IVlf3ePLEr3Ow5U4Rh6gosMJhai7OtJTaM64yx3fwgBPC/f67ijV8vIF/JwZ/6RAiBj/+9ioV/RkII4MXufvjimQ6wseRMEYapS7DAYGo1FuZm+HBkayx8rBXMFMCvZ/7D6K+PIyE9V27TaiWFKjXe+PUCVodTGuobg5pjwWOtYG7GmSIMU9dggcHUCV4M8ceG8V3gbGuJ83H3MfyLwzh+M0Vus2oVOQVKTN54Gr+e+Q/mZgp88kQbTA9twmmoDFNHYYHB1Bn6NKuHP2f0RNCDyp/PfXMC6w/HcFyGDkjLLsCz604g7No92FiaYe3Yjhjd2VdusxiGkREWGEydopG7HbZPDcGIdj5QqQU++CsSs36O4KJcNeC/tBw8seYoIuKoxsUPE7uhX5Cn3GYxDCMzLDCYOoetlTk+H9MO7w5rCXMzBX6LuIMnVh9FXCp3ZK0qVxMz8MTqo7h5Lxs+zjbYNrU7Ovq5ym0WwzBGAAsMpk6iUCjwUs8AbH6pK9ztrRCZkIFhXxzGgev35DbNZDhxMwVPrTmGuxn5aObpgG3TQtCkvqPcZjEMYySwwGDqNN0bu+OvV3uira8L0nMLMW7DSawKi+a4jIfw76UEjF1/Epl5SnT2d8UvL4fA29lWbrMYhjEiWGAwdR5vZ1tsfbkbnu7sCyGApbuuYcrmM8jKV8ptmlHy44lYTPvhLAqUagxo6YlNL3WFs52l3GYxDGNksMBgGADWFub43xNtsOTxYFiZm2HX5bsY8eVhRCdlyW2a0SCEwKqwaMzfcRFqATzTxRern+MCWgzDlA0LDIYpxjNdGmHLy93g5WSDG/eyMXLVEfx7ifuYqNUCi/6+gqW7rgEAZoQ2weJRwbAw51MIwzBlw2cHhilBh0au+POVnugS4IasfCWmbD6Dj/+9CqVKLbdpsqBUqTF32wV8czgGAPDO0CDMGdScC2gxDFMhLDAYpgzqOVrjh4ldMbFnAABgdfgNvLjhJFKy8mW2zLDkFaow9YezmuqcS59sg4m9AuU2i2EYE0B2gfHVV18hICAANjY26NixIw4dOlTh+gcOHEDHjh1hY2ODwMBArFmzxkCWMnUNS3MzvDOsJb54pj3srMxxJDoFw744jIi4+3KbZhAy8yirZk/kXVhZmGH1cx3wVCeuzskwTOWQVWD8/PPPmDlzJt5++22cO3cOvXr1wuDBgxEbG1vm+jExMRgyZAh69eqFc+fOYf78+Xj11Vexbds2A1vO1CWGt/XBb9N7INDDHgnpeRi95hh+PBFbq1NZU7Ly8ey6Ezh+MxUO1hb4fnwXDGzlJbdZDMOYEAoh41mya9eu6NChA1avXq2ZFxQUhJEjR2LJkiWl1n/zzTfxxx9/4MqVK5p5U6ZMwfnz53Hs2LFKfWZGRgacnZ2Rnp4OJyenmn+JYhQUFJS7zMzMDBYWFpVaV6FQwNLSslrrFhYWlnvh09e6AGBlZVWtdZVKJdTq8mMbqrKupaWlJi5AH+tm5hXi9a3nsTvyLgDgifY+eH9YC60siuLbValUUKnKL0FuYWEBMzMzo1lXrVZDqVTizv1cjP/+LGJScuBqZ4lvX+iA1j5OMDc3h7m5uda65WGIdYUQKCws1Mm6xY9Pfa0L8DmiOuua0jkCePgxZ+hzRPHfRxdU5RpqUeFSPVJQUIAzZ87grbfe0po/cOBAHD16tMz3HDt2DAMHDtSaN2jQIHz77bcoLCzU2tkl8vPzkZ9fNG6ekZGhA+vLpixRJNG0aVM8++yzmteffvppuScmPz8/jBs3TvN6xYoVyMkpu4y1j48PJk2apHm9atUqpKenl7luvXr1MG3aNM3rdevW4d69sitXOjs7Y+bMmZrX3333He7cuVPmunZ2dnjjjTc0r3/44Qfcvn27zHUtLS0xf/58zeutW7ciKiqqzHUB4P3339c837FjByIjI8tdd968eZqD6a+//sL58+fLXXfOnDmwt7cHAOzatQunT58ud93XXnsNLi4ucLSxxBOeKUi5/h/OKhtg27k7CI+IQqjVDTia0Ql+6tSpqF+/PgDg0KFDOHDgQLnbnThxIho0aAAAOH78OPbu3Vvuui+++CL8/f0BAGfOnME///xT7rrPPPMMmjVrBgC4ePEifv/993LXffLJJ9GqVSsAwJUrV/DN1r+wq6AZcoQV7BX5CFVdxJ/fH8OfAEaMGIF27doBAKKjo/HTTz+Vu93BgwejS5cuAIDY2Fh8//335a7bv39/9OjRAwCQkJCAb775ptx1+/Tpg759+wIA7t27p3VzUpLu3btrzhfp6elYsWJFuet26tQJQ4cOBQDk5OTg008/LXfdtm3bYuTIkQDoQlnRcd+yZUs89dRTmtd8jiBq6zkCAPbt21fhDa+hzxHFfx9DI9sQSXJyMlQqFTw9tZsieXp6IjGx7LTAxMTEMtdXKpVITk4u8z1LliyBs7OzZvL15TFkpvooFAq0sUzEQKvrsEYhUoQ9/sxviXiVbr1hcnA9OR8785sjR1jBWZGLIVZX4WxWt4JaGYbRHbINkdy5cwcNGjTA0aNH0b17d838RYsWYdOmTbh69Wqp9zRr1gzjx4/HvHnzNPOOHDmCnj17IiEhAV5epceIy/Jg+Pr68hCJDtcF6qb78879XLzy8wVcjM+AQgG8GtoYr/ZrBnNz4xn2qOy6R6OTMWnjaWQXqBDcwAnrnm8PN3tt1yoPkdRsXYDPEdVZ15TPETVdl4dIqomHhwfMzc1LeSuSkpJKeSkkvLy8ylzfwsIC7u7uZb7H2toa1tbWujH6IVTlj9TXumUNExnzusVPqKawbvGLln99K/w6NQQL/4zEjydisWL/DRy9mYq3h7ZEO18XrXWrsl1DrpuvVOGbA9FYsTcKBSo1ejRxx9djO8HBuuLfxMzMrNL7pb7WVSgUJrUuwOeI6qxrDMd9dc8RprCuPpFtiMTKygodO3bEnj17tObv2bMHISEhZb6ne/fupdbfvXs3OnXqVKUdlmF0hbWFORaPCsYnT7aBjaUZTt1Kw8hVR/DKT+eMvv37wev38Ojnh7B01zUUqNQY3NoL68d1fqi4YBiGqQyyZpH8/PPPGDt2LNasWYPu3btj7dq1WLduHS5fvgw/Pz/MmzcP8fHx2LhxIwBKU23dujVefvllTJo0CceOHcOUKVPw008/4YknnqjUZ+ozi4Sp29y5n4tlu69j+7n/IARgZW6GF0P8MCO0qVE1A7tzPxcf/hWJfx6UQK/vaI23hwbhsbY+XJ2TYZgKqco1VFaBAVChrU8++QQJCQlo3bo1PvvsM/Tu3RsAMG7cONy6dQvh4eGa9Q8cOIBZs2bh8uXL8PHxwZtvvokpU6ZU+vNYYDD65vKddCzZeRWHoynw2NnWEq880gRju/vB2kI+t2WBUo1vD8dg5b4o5BaqYG6mwLgQf8zs3xSONsYjgBiGMV5MSmAYGhYYjCEQQuDA9XtYsvMqrt3NBAD4utli7qAWGNbG2+CegiPRyXj390u4eS8bANDF3w0fjGyFFl58DDAMU3lYYFQACwzGkKjUAr+eicOy3deRlEnZTG19XfD2kCB0CXDT++cnpufhw78j8feFBACAh4MV5g8Jwqj2DXg4hGGYKsMCowJYYDBykFOgxDeHYrDmwA3kFFD6WP8gTwxv642Ofq5o4GKr0wt+oUqNDUdi8PneKOQUqGCmAF7o7o9ZA5rB2ZaHQxiGqR4sMCqABQYjJ0mZefh8bxS2nIyFutiR5+Vkg47+rujk54pOfm4I8naEhXnlkrwKVWrEJGfjSkIGriVm4lpiJi7Gp2s8Jh39XPHBiFZo5eOsj6/EMEwdggVGBbDAYIyBqLuZ2HIqDqdvpeLynQwo1dqHoZ2VOdr5uqCTnys6+ruhfSMXOFpbIDEjD1cfiIirCRm4mpiJm/eyUaAqXQTI3d4Kbw1ugSc6NISZGQ+HMAxTc1hgVAALDMbYyC1QISLuPs7cTsXp22k4czsNmXna1SwVCsDBygKZ+WVXuXSwtkBzL0c093JECy9HNPd0RHBDZ9hZcU0LhmF0h0lU8mQYhrC1Mkf3xu7o3piq0arVAlFJWTh9OxVnbqXh9O00xKbmIDNfCXMzBQI97DVCooWXE5p7OaKhq25jOBiGYWoKCwyGMTLMzBQab8RzXf0AAEkZeUjNKYC/u71We3iGYRhjhQUGw5gA9Z1sUN/JRm4zGIZhKo1svUgYhmEYhqm9sMBgGIZhGEbnsMBgGIZhGEbnsMBgGIZhGEbnsMBgGIZhGEbnsMBgGIZhGEbnsMBgGIZhGEbnsMBgGIZhGEbnsMBgGIZhGEbnsMBgGIZhGEbn1LlS4VLz2IyMDJktYRiGYRjTQrp2VqYRe50TGJmZmQAAX19fmS1hGIZhGNMkMzMTzs7OFa6jEJWRIbUItVqNO3fuwNHRscL21hkZGfD19UVcXNxDe94bG2y7PLDt8sC2ywPbLg9y2y6EQGZmJnx8fGBmVnGURZ3zYJiZmaFhw4aVXt/JycnkdkAJtl0e2HZ5YNvlgW2XBzltf5jnQoKDPBmGYRiG0TksMBiGYRiG0TksMMrB2toa77//PqytreU2pcqw7fLAtssD2y4PbLs8mJLtdS7Ik2EYhmEY/cMeDIZhGIZhdA4LDIZhGIZhdA4LDIZhGIZhdA4LDIZhGIZhdA4LDIZhGIZhdA4LDAPAiTpMVeD9hakqprjP5OXlATBN2yXY9ophgaEnVCqV5nlFPU+MkeK2mzJqtVpuEyqNUqnUPFcoFCZle0pKCnJzc+U2o1pER0djx44dcptRLaKiorBy5UoApneOuXz5MkaMGIHk5GQoFAqTulBnZWUhKSkJhYWFJve7Fz+vGMJ2Fhh64OrVq5g0aRKefvppTJgwATdv3kRBQYHcZj2U2NhYZGRkwNzc3ORExs2bN7Fo0SLMmjULn3zyCQDqO2MKJ65r165h8uTJGDFiBEaPHg3AdGyPioqCn58f3nnnHZMTGREREQgKCsK9e/fkNqXKXLhwAX379sXFixdx/fp1zXxT2GfOnz+Pnj17Ys+ePVi+fDkA0xFIly9fxrBhw9C/f3+0bt0ahw4dAmAav/vVq1cxY8YMTJgwAZMnT8bt27dRWFio189kgaFjrl69ii5duiA3NxcODg6ag2ndunVITk6W27xyuXbtGho3boz27dsjNTXVpETGxYsX0b17d5w9exanTp3Cd999h+effx6A8Z+4Ll68iB49ekClUqFx48Y4e/YsnnrqKQAwiTu78+fPo7CwEKtWrcKcOXOQn5+vsdmYbZeOy9deew2TJ08utdyYbY+Pj8djjz2Gp59+GuvWrUOzZs00y4x9fz9//jy6deuGCRMmYNasWTh8+LBmqMTYuXr1Kvr06YPg4GAsWrQIgYGBmDZtGgDjP1YjIyMREhKC7OxsuLi4ICIiAp06dcK6deuQkpKivw8WjM5QqVRi4sSJYvTo0Vrzp06dKpo2bSqWLl0q0tLS5DGuAhITE8Ujjzwi+vXrJ7p37y6Cg4NFSkqKEEIIpVIps3UVExsbK1q0aCHefPNNIYQQ2dnZYvPmzaJDhw7i+vXrMltXMdHR0aJp06Zi3rx5Qggh1Gq1+OSTT8T06dNltqzynDx5Ujz77LMiLCxM2Nraatl+7949GS0rnytXrggnJyfx6quvCiFoH//xxx/FJ598Ij755BORm5srs4UVs3fvXjFw4EAhhBCFhYVixowZYtSoUaJXr15i69at4u7duzJbWDanT58WdnZ2Yv78+UIIIS5cuCAUCoVYv369zJY9nPz8fDF69Gjx0ksvaeadPn1aPPXUU+LevXsiKytL5Ofny2hh+eTm5oqhQ4dqHZtqtVo0bdpU+Pr6ik8//VSkp6fr5bPZg6FDzMzMkJmZCTs7OwDQDIt89dVXGDp0KL744gscPHgQgHHdIV24cAFubm54++23sXTpUjg6OqJv374aT0bx+ABjQgiBXbt2oWHDhpg1axaEELCzs0Pfvn1x69YtxMbGym1ihfzzzz9o3bo13nzzTQB0FxQbG4t9+/ahZ8+e6NOnj9G7YBs3boyLFy+iZcuW2LhxI7755hu8+eabmDx5MhYtWqR3F2x12LBhAzIzM9GvXz/cv38fgwYNwhdffIFvv/0WK1euRKtWrRAREQHAOH/3uLg43L17Fzk5ORgwYAAiIyPRpk0buLq64t1338Xq1auRmZkpt5la5ObmYvbs2Zr9Qq1WIygoCGPHjsWvv/6q37toHWBmZoZ79+7B399fM++XX37Bnj170LNnT7Rv3x6LFy82Si+1Wq1GcnIyevbsCYBiSBQKBTp27AgPDw989tlnOH/+PAA97O96kS11mEmTJong4GDN67y8PM3zp556SjRv3lwUFhbKYVqFhIWFaZ4fOnRIhISEiNatW2vuQiVPhlqtlsO8cjl06JBYvXq15nVhYaEoLCwUTZs2FX/99Vep9VUqlSHNeyinTp3SPF++fLlQKBRi8eLF4ueffxZDhw4VDRs2NFpPgEqlEllZWaJDhw7iyJEjQgghDhw4ICwsLISVlZXWdzM2xo8fL5o2bSqCgoLE0KFDxc2bN8X9+/fF/fv3RWhoqAgODjZa791ff/0lgoKCxL59+8TIkSNFUlKSZtn7778v/Pz8RFRUlIwWlkalUom4uLhS8zdt2iTs7Ow0+4qxnV+KM2zYMNGsWTPx1Vdfiddee03Y2NiIDRs2iMuXL4uFCxeKJk2aiD179shtZilUKpVo3769eP755zXzEhMTRePGjcXZs2fFgAEDRI8ePfTy2SwwdIR04YqJiRG+vr5i/PjxmmU5OTlCCCFu3rwp6tWrJ/bt2yeLjWVR1gVXrVaLw4cPa0RGcnKyEEKIxYsXay4kxkJxt2Txk1OHDh3EL7/8onm9adMmg9r1MEr+7vfu3RMzZ87U2jfy8vKEg4OD0buQx40bJ7Zt2yaEEOKFF14Q7u7uwsrKSsyaNUtLYBsDxcX9+PHjRefOncW1a9e01jl58qRwdHQU4eHhhjav0rRp00a4urqK4OBgzfEp0bBhQ7Fs2TKZLKscxY/VRx55RAwZMsTo9hUJ6VjNzs4Ww4YNExMmTBDNmzcXn376qdZ6TZs21Qy7GQvS77xx40bRuHFj0aNHD/H2228LZ2dnzXDPzp07RatWrfQytMZDJDUgOzsbALmVzMzop2zQoAHefvttHDlyBDNmzAAA2NraAqBURCcnJzg6Ospj8APKsltCCAGFQoHu3bvjk08+gZOTE/r164eJEyfi7bffhpubmxwmayhuOwBYWVlplhUPtCqe0fD+++/jhRdeQHR0tAEtLU1Fv7uHhwcWLVqERx55RDPv5s2baNasGYKCggxqZ1mU/N2LP3d1dcXp06cxbdo07N69G4cOHcIff/yBzz//HO+++64s9hanuO0WFhaa4OX169djyZIl8PPz0ywHgIyMDHh7e6Nhw4byGFyMkr+7ZPvKlSvRqFEj3L17F7dv39asn5ubi8aNG2u58uWirH1GQjpWhRAYNmwYoqOjNUOaxpCiXfJYVavVsLOzw59//olvv/0Wvr6+aNGiBQAgPz8f+fn5CAwMRJMmTeQ0G4C27VLQ72OPPYaVK1fC2dkZ0dHReO+99/DNN98AAJKTk6FUKrXOpTpD55KljnDp0iVRr1498cMPPwghSClKajE1NVUsW7ZMBAQEiGHDhomoqCgRGRkp3nvvPeHn5yfi4+ONxu6ykL6HWq0W4eHhws7OTri5uYmzZ88ayswyqYztSqVS5OXlicDAQLF7926xbNkyYWdnJ86cOWNAS0tTld9d4p133hEdO3YUiYmJ+javQsqzXbqz2759u7CzsxMBAQFa+8i///4rrly5YlBbS1Ke7RUNf8ydO1f06dNHpKam6tu8Cqlon8nJyRHbt28XgYGBIigoSGzfvl0cPHhQvPfee8LHx0fcvHlTBouLqMz+LpGdnS0aNmwopk2bZgDLHk5Z5/bij0II0a9fPzF06FAhBA03fPTRR8LLy0v2oamKrksSJT1FM2bMEMOHD9d42nUJC4xqEBsbK9q0aSN8fHyEtbW11p8pnXTT09PF33//LYKDg4W7u7to0qSJCAgIkPVCV57dFTF16lRhY2MjLl26ZAALy6eqtvfs2VM0b95c2Nrayh4LUFXbIyIixNy5c4Wzs7OIiIgwkJVlUxnbY2Njxeuvvy4uXLggg4XlU9Xf/ezZs+KNN94Qzs7O4vz58waysmwqOsdIF4zCwkIRGRkpHnnkEeHv7y8CAwNFmzZtZL8RqMrvLgm9N998U3Tr1k1kZGTIGofxMNul8/uePXtEw4YNhZOTk+jQoUMpcS0HFe0zxR8ljh49KubMmSMcHR31tr+zwKgihYWFYuXKleLxxx8Xx44dE/PnzxdmZmZligyJ/fv3izNnzog7d+7IYbIQ4uF2l8WRI0dE586dZb/7r6rtSqVStGrVSlhYWMh+0auq7Tdu3BBz584Vbdu2lf0iV5l9XbpAFBQUyGlqKar6u0dFRYlXX31VNG/eXHZRV5nfveTF4sqVK+LmzZul4jEMTXXOM0IIce7cORETE2MYI8uhMrZLv7tSqRSxsbFi2bJl4tdffxW3bt2Sy2whRPV+99WrV4s+ffrodX9ngVENTp48qQkgzM3NFfPmzSvzzzS2KPTK2l0cuU9YEpW1XRJ3v/76q4iOjja4nWVRld9dpVKJGzduiISEBEObWSYPs92Yo/6r8rsrlUpx7do1WW8CimOq5xghqneeMRYqY7ux7vOV/d2L26/vukwsMHRAZmZmqT8zLy9P/PPPP+K///6T2bryqcju27dvy2xdxZRn+86dO402rVOiItuN5QJXHqa6rwvBv7tc1Fbby0q7NSaM4fxuofuw0bqDeBCl6+DggHnz5kGhUGDs2LFQq9U4deoUfvrpJ1y4cEFuM0thqnYDD7f9xx9/xMWLF+U2s0xq8+/OtusHtl0e2HbdGcM8hMq6xCTFqFAohLOzszh58qSeLasYU7VbCLZdLth2eWDb5YFt1y9cB6MCsrKyAFS+gZCNjQ0SEhLg7OyMY8eOoXPnzvo0r1xM1W6AbZcLtl0e2HZ5YNsNhMGkjIlx+fJlMXLkyDLLTZeFWq0WP/74o3B1dRWnT5/Ws3XlY6p2C8G2ywXbLg9suzyw7YaDPRhlcOnSJYSEhKBx48Zo3ry51rLyqswpFAoEBwcjIiICHTt2NISZpTBVuwG2XS7Ydnlg2+WBbTcwBpc0Rk5WVpYYNGiQeOWVV4QQpABjY2PFiRMnZLasYkzVbiHYdrlg2+WBbZcHtt3wsMAowb1790SbNm001R+HDRsmgoODhZ2dnWjbtq34448/jLIpj6naLQTbLhdsuzyw7fLAthseHiIpQX5+PszNzeHo6Ihp06ZBpVJh1apViIiIQIMGDfDGG29oUnyMoSmPhKnaDbDtcsG2ywPbLg9su+FRCFFGq7s6jFqtRtu2bREYGAgPDw88++yz6Nevn2Z5ly5d4Ofnh19++UVGK0tjqnYDbLtcsO3ywLbLA9tueOq8B6OgoABAUUthMzMzLF26FGfOnMGGDRs0alBab/jw4cjJyZHH2GKYqt0A2y4XbLs8sO3ywLbLT50WGJGRkXjuuecwePBgDB06FEePHkVeXh569+6NyZMnw9bWFuvWrYNKpYKVlRUAIDY2Fu7u7lCpVJDL+WOqdrPtbDvbzraz7bXX9lIYMuDDmLh27ZpwcnISEyZMEHPnzhXDhw8X9vb24v333xd3794VGRkZ4uOPPxb29vaie/fuYurUqWLcuHHCxcVF1tblpmo32862s+1sO9tee20vizorMF5//XUxbNgwrXn/+9//hJ+fn5g7d65ITU0VSqVSXLhwQYwZM0aMGjVKvPDCC+LixYsyWUyYqt1CsO1ywbbLA9suD2y78VBnBcaUKVPEY489JoQQoqCgQDN/2bJlon79+uLrr78u9Z7CwkKD2Vcepmq3EGy7XLDt8sC2ywPbbjzUWYGxYMEC4enpKbKzs4UQQuTn52uWvfHGG8LNzU0kJSVpvaeyzWX0ianaLQTbLhdsuzyw7fLAthsPdU5gSH9GamqqaNeunRg4cKDmT8zJyRFCCJGcnCwaNGggtm/fLpudJTFVu4Vg2+WCbZcHtl0e2Hbjo85lkUgd6FxcXDBv3jwkJSXhmWeegUqlgq2tLQBAqVTCwcEB9vb2cpqqhanaDbDtcsG2ywPbLg9su/FhIbcBclBYWAhLS0uMGjUKKpUKixYtQqdOnbB69WoIIfDPP/8gMzMTQUFBcpuqhanaDbDtcsG2ywPbLg9su5Ehl+vEkBQfo1IqlUIIIaKiosQHH3wghBDi2LFj4tFHHxVubm6iSZMmokWLFuLMmTOy2FocU7VbCLZdLth2eWDb5YFtN25qrcC4f/++SElJEfHx8aWW3bp1SzRo0ECMGTNGa/7Zs2dFdHR0qSAaQ2KqdgvBtssF2y4PbLs8sO2mQ60UGBcuXBDt27cX3bp1E46OjmL69OkiLCxMCCFEZmamaNOmjZg8ebJGQapUKhmtLcJU7RaCbZcLtl0e2HZ5YNtNi1onMG7evCm8vb3F3LlzxenTp8XWrVuFp6enaNmypdiyZYtQqVTi999/17ikjAVTtVsItl0u2HZ5YNvlgW03PWqdwPj444/FkCFDtOb973//E1ZWVqJjx47i999/l8myijFVu4Vg2+WCbZcHtl0e2HbTo9alqSYkJGg6zeXl5QEAvL29ERoaivr162Pjxo3IyMiQ08QyMVW7AbZdLth2eWDb5YFtN0HkVji6Zu3atcLKykocOXJEZGZmilu3bgkXFxexceNGcfjwYWFubi6OHTsmt5mlMFW7hWDb5YJtlwe2XR7YdtPD5AVGYWGhVs12IYR46aWXhEKhEG3atBF2dnZi6tSpmmWNGzcWGzduNLSZpTBVu4Vg2+WCbZcHtl0e2HbTx6QLbUVGRmLhwoW4c+cOmjRpggEDBuDZZ5/FN998gyFDhiA/Px9OTk4YOnQoACAuLg52dnZo0KAB211N2HZ5YNvlgW2XB7a9liC3wqku165dE87OzuL5558XCxcuFL179xbt2rUTL774YpnNXwoKCsT8+fNFkyZNysxBNhSmarcQbLtcsO3ywLbLA9teezBJgaFWq8Xbb78tnnzySc287Oxs8eWXX4rg4GDx1FNPaa177NgxMWPGDOHs7CzOnj0rh8kaW0zRbskett3wsO3ywLbLA9teuzDJLBKFQoH4+HgkJiZq5tnZ2WHChAl47bXXEB0djXnz5mnWdXV1hZ+fH06cOIH27dvLZbbJ2i3Zw7YbHrZdHth2eWDbaxlyK5yqIrmZVq5cKbp37y6uXLmitTw9PV3MnTtXdO3aVdy9e1czv7Cw0KB2lsRU7RaCbZcLtl0e2HZ5YNtrHyYnMCSio6OFh4eHGD9+vMjIyNBadufOHWFmZiZ27Nghj3EVYKp2C8G2ywXbLg9suzyw7bUHkxUYQgixf/9+YW1tLaZPny7u3bunmZ+cnCw6duyoqfNubJiq3UKw7f9v545tFIaCKIr+jWgACUcOSFwGNVCNO6IA+nBGBRRAYJG/rWClDb40fHROBTd8wWiqaK+hvYb27zD0wEiS+/2ew+GQ6/Wa2+2Wx+ORdV1zOp3yfD6r8/40aneivYr2GtpraB/f8AMjSbZty+VyyTzPOZ/PWZZliKvcUbsT7VW019BeQ/vYfpKk+tC0h33f2+v1au/3u03T1I7HY3XSv4za3Zr2KtpraK+hfVxfMzAAgM8x5B8MAOCzGRgAQHcGBgDQnYEBAHRnYAAA3RkYAEB3BgYA0J2BAQB0Z2AAAN0ZGABAdwYGANDdL2OdHdDOViyBAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "iR2max = np.argmax(R2_95)\n",
    "tR2max = t.values[iR2max]\n",
    "R2max = R2_95[iR2max]\n",
    "TWL = zo+R2_95\n",
    "print('R2 max: {} at {}'.format(R2max, tR2max) )\n",
    "\n",
    "print('Range of mean R2:')\n",
    "print(np.min(R2),np.max(R2))\n",
    "print('Range of min R2:')\n",
    "print(np.min(R2_5),np.max(R2_5) )\n",
    "\n",
    "iTWLmax = np.argmax(TWL)\n",
    "tTWLmax = t.values[iTWLmax]\n",
    "TWLmax = TWL[iTWLmax]\n",
    "print('TWL max: {} at {}'.format(TWLmax, tTWLmax) )\n",
    "\n",
    "fig, ax0  = plt.subplots(1,1,figsize=(6,4),sharex=True)\n",
    "ax0.plot(t,np.zeros_like(zo),'--',c='gray')\n",
    "ax0.plot(t,zo,label='Ocean WL')\n",
    "ax0.plot(t,zo+R2,'-r', label='Mean TWL')\n",
    "ax0.plot(t,zo+R2_5,'--r', alpha=.7, label='5% TWL')\n",
    "ax0.plot(t,zo+R2_95,'--r', alpha=.7, label='95% TWL')\n",
    "\n",
    "ax0.set_ylabel('Elevation (m)')\n",
    "plt.xticks(rotation=45, ha='center')\n",
    "ax0.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1caca99-bf19-4dd5-8c02-3c5556b7d928",
   "metadata": {},
   "source": [
    "### Kludge alert - weird point (new run initialization?)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "faff6bee-985e-4348-9365-5a3745d49fb2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Replace third point with local average\n",
    "R2[2]=0.5*(R2[1]+R2[3])\n",
    "R2_5[2]=0.5*(R2_5[1]+R2_5[3])\n",
    "R2_95[2]=0.5*(R2_95[1]+R2_95[3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d4a7c86d-1f3d-458f-a255-8b870d8c0b11",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[np.datetime64('2019-09-06T11:15'),\n",
       " np.datetime64('2019-09-06T13:14'),\n",
       " np.datetime64('2019-09-06T14:14'),\n",
       " np.datetime64('2019-09-06T19:15')]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time_list = ['2019-09-06 11:15', '2019-09-06 13:14', '2019-09-06 14:14', '2019-09-06 19:15']\n",
    "\n",
    "tlist = []\n",
    "for item in time_list:\n",
    "    tlist.append( np.datetime64(item) )\n",
    "\n",
    "tlist            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "bcca5dae-f006-4ba6-88f3-94b4a31cd226",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Water depth at ocean wave point:  15.74471\n",
      "Sound zmax: 2.7950313091278076 at 2019-09-06T12:45:00.075094016\n",
      "Ocean zmax: 0.7238208055496216 at 2019-09-06T18:15:00.050624512\n",
      "Ocean zmin: -0.11026206612586975 at 2019-09-06T13:29:59.985393664\n",
      "Diff max: 2.8085360527038574 at 2019-09-06T13:00:00.078527488\n",
      "izsmax =  10 izdmax =  11\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\csherwood\\AppData\\Local\\Temp\\1\\ipykernel_30220\\1388911124.py:70: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
      "  ax1.set_xticklabels(tl)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "blues = ['#eff3ff','#bdd7e7','#6baed6','#2171b5']\n",
    "greens = ['#edf8e9','#bae4b3','#74c476','#238b45']\n",
    "oranges = ['#feedde','#fdbe85','#fd8d3c','#d94701']\n",
    "\n",
    "tl = ['1000','1100','1200','1300','1400','1500','1600','1700','1800','1900']\n",
    "zs = ds_CSYV.zeta[:,750,650].load()\n",
    "zo = ds_CSYV.zeta[:,50, 650].load()\n",
    "print('Water depth at ocean wave point: ', ds_CSYV.bath[0, 3, 650].values)\n",
    " \n",
    "# times bars for other plot\n",
    "time_list = ['2019-09-06 11:15', '2019-09-06 13:14', '2019-09-06 14:14', '2019-09-06 19:15']\n",
    "tlist = []\n",
    "for item in time_list:\n",
    "    tlist.append( np.datetime64(item) )\n",
    "\n",
    "\n",
    "izsmax = np.argmax(zs.values)\n",
    "tzsmax = t.values[izsmax]\n",
    "zsmax = zs.values[izsmax]\n",
    "print('Sound zmax: {} at {}'.format(zsmax, tzsmax) )\n",
    "izomax = np.argmax(zo.values)\n",
    "tzomax = t.values[izomax]\n",
    "zomax = zo.values[izomax]\n",
    "izomin = np.argmin(zo.values)\n",
    "tzomin = t.values[izomin]\n",
    "zomin = zo.values[izomin]\n",
    "print('Ocean zmax: {} at {}'.format(zomax, tzomax) )\n",
    "print('Ocean zmin: {} at {}'.format(zomin, tzomin) )\n",
    "\n",
    "zdiff = zs.values - zo.values\n",
    "izdmax = np.argmax(zdiff)\n",
    "tdmax = t.values[izdmax]\n",
    "zdmax = zdiff[izdmax]\n",
    "print('Diff max: {} at {}'.format(zdmax, tdmax) )\n",
    "print('izsmax = ', izsmax, 'izdmax = ', izdmax) \n",
    "\n",
    "# vertical extent of top plot\n",
    "zpmin = -0.2\n",
    "zpmax = 3.0\n",
    "fig, (ax0, ax1 ) = plt.subplots(2,1,figsize=(8,4),sharex=True)\n",
    "for item in tlist:\n",
    "    ax0.plot( [item, item],[zpmin, zpmax],'-',linewidth=2, c='gray')\n",
    "\n",
    "ax0.plot(t,2.5*np.ones_like(zo),'--',c=oranges[3])\n",
    "ax0.plot(t,np.zeros_like(zo),'--',c='gray')\n",
    "# ax0.plot(t,zo+R2_95,'--', c=blues[3], alpha=.7, label='95% TWL')\n",
    "\n",
    "ax0.plot(t,zo+R2,'-', c=blues[2], label='Total Water Level')\n",
    "ax0.fill_between(t, zo+R2_5, zo+R2_95, color=blues[2], alpha = .7, label='90% C.L.')\n",
    "# ax0.plot(t,zo+R2_5,'--', c=blues[3], alpha=.7, label='5% TWL')\n",
    "\n",
    "ax0.plot(t,zo,c=blues[3],linewidth=2,label='Ocean')\n",
    "ax0.plot(t,zs,c=oranges[2],linewidth=2,label='Sound')\n",
    "ax0.set_ylim( (zpmin, zpmax) )\n",
    "ax0.set_ylabel('Water Level (m)')\n",
    "ax0.legend(loc='upper right')\n",
    "\n",
    "# vertical extent of bottom plot\n",
    "zpmin = -0.2\n",
    "zpmax = 3.0\n",
    "for item in tlist:\n",
    "    ax1.plot( [item, item],[zpmin, zpmax],'-',linewidth=2, c='gray')\n",
    "\n",
    "ax1.plot(t,np.zeros_like(zo),'--',c='gray')\n",
    "ax1.plot(t,zs-zo,c='k',linewidth=2,label='Cross-Island Difference\\n(sound minus ocean)')\n",
    "ax1.legend(loc='upper right')\n",
    "ax1.set_ylim( (zpmin, zpmax) )\n",
    "\n",
    "ax1.set_ylabel('Difference (m)')\n",
    "ax1.set_xticklabels(tl)\n",
    "#plt.xticks(rotation=-25, ha='center')\n",
    "plt.xlabel('2019-09-06 (UTC)')\n",
    "figname = 'all_runs_water_level_ts.png'\n",
    "plt.savefig( figname, dpi=200, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "1a74b3a9-d9f2-4ad1-bb5b-b547a8098a22",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get wave time series from offshore\n",
    "Hss = ds_CSYV.Hwave[:,750,650].load()\n",
    "Hso = ds_CSYV.Hwave[:,50, 650].load()\n",
    "Ts = ds_CSYV.Pwave_top[:,750,650].load()\n",
    "To = ds_CSYV.Pwave_top[:,50, 650].load()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "62cd8d46-11ae-4574-8612-2923e379f941",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.DataArray 'Hwave' (ocean_time: 37)> Size: 148B\n",
      "array([4.1249847 , 4.090472  , 0.85436326, 4.056225  , 4.0426626 ,\n",
      "       4.025289  , 4.002724  , 3.9643834 , 3.9161608 , 3.8666856 ,\n",
      "       3.8128831 , 3.7526767 , 3.694857  , 3.6313624 , 3.56431   ,\n",
      "       3.484187  , 3.3780258 , 3.2297406 , 3.0757039 , 2.9133546 ,\n",
      "       2.7557967 , 2.6148813 , 2.4903736 , 2.382158  , 2.298146  ,\n",
      "       2.2405415 , 2.2030728 , 2.17153   , 2.131626  , 2.0805385 ,\n",
      "       2.0195243 , 1.9505155 , 1.8748125 , 1.7952744 , 1.7148294 ,\n",
      "       1.6373688 , 1.560356  ], dtype=float32)\n",
      "Coordinates:\n",
      "    lon_rho     float64 8B -76.15\n",
      "    lat_rho     float64 8B 34.97\n",
      "  * ocean_time  (ocean_time) datetime64[ns] 296B 2019-09-06T10:15:00.04076236...\n",
      "Attributes:\n",
      "    long_name:  wind-induced significant wave height\n",
      "    units:      meter\n",
      "    time:       ocean_time\n",
      "    grid:       grid\n",
      "    location:   face\n",
      "    field:      Hwave, scalar, series\n",
      "<xarray.DataArray 'Pwave_top' (ocean_time: 37)> Size: 148B\n",
      "array([11.180339, 13.132638, 13.132638, 13.132638, 13.132638, 13.132638,\n",
      "       11.180339, 11.180339, 11.180339, 11.180339, 11.180339, 11.180339,\n",
      "       11.180339, 11.180339, 11.180339, 11.180339, 11.180339, 11.180339,\n",
      "       11.180339, 11.180339, 11.180339, 11.180339, 11.180339, 11.180339,\n",
      "       11.180339, 11.180339, 11.180339, 11.180339, 11.180339,  9.518269,\n",
      "        9.518269,  9.518269,  9.518269,  9.518269,  9.518269,  9.518269,\n",
      "        9.518269], dtype=float32)\n",
      "Coordinates:\n",
      "    lon_rho     float64 8B -76.15\n",
      "    lat_rho     float64 8B 34.97\n",
      "  * ocean_time  (ocean_time) datetime64[ns] 296B 2019-09-06T10:15:00.04076236...\n",
      "Attributes:\n",
      "    long_name:  wind-induced peak surface wave Period\n",
      "    units:      second\n",
      "    time:       ocean_time\n",
      "    grid:       grid\n",
      "    location:   face\n",
      "    field:      Pwave_top, scalar, series\n"
     ]
    }
   ],
   "source": [
    "print(Hso)\n",
    "print(To)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "0ff01cb8-54f6-43bc-9093-fab89f298654",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sound Hs max: 1.1317378282546997 at 2019-09-06T13:00:00.078527488\n",
      "Ocean Hs max: 0.2572811543941498 at 2019-09-06T10:15:00.040762368\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\csherwood\\AppData\\Local\\Temp\\1\\ipykernel_30220\\2067733761.py:26: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
      "  ax1.set_xticklabels(tl)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "iHssmax = np.argmax(Hss.values)\n",
    "tHssmax = t.values[iHssmax]\n",
    "Hssmax = Hss.values[iHssmax]\n",
    "print('Sound Hs max: {} at {}'.format(Hssmax, tHssmax) )\n",
    "iHsomax = np.argmax(Hso.values)\n",
    "tHsomax = t.values[iHsomax]\n",
    "Hsomax = Hss.values[iHsomax]\n",
    "print('Ocean Hs max: {} at {}'.format(Hsomax, tHsomax) )\n",
    "\n",
    "fig, (ax0, ax1) = plt.subplots(2,1,figsize=(8,4),sharex=True)\n",
    "for item in tlist:\n",
    "    ax0.plot( [item, item],[zpmin, zpmax],'-',linewidth=2, c='gray')\n",
    "\n",
    "ax0.plot(t,Hso,c=blues[3],linewidth=2,label='Ocean')\n",
    "ax0.plot(t,Hss,c=oranges[2],linewidth=2,label='Sound')\n",
    "ax0.set_ylim( (0, 4.5) )\n",
    "ax0.set_ylabel('Sig. Wave Height (m)')\n",
    "ax0.legend(loc='upper right')\n",
    "\n",
    "for item in tlist:\n",
    "    ax1.plot( [item, item],[2, 14],'-',linewidth=2, c='gray')\n",
    "ax1.plot(t,To,c=blues[3],linewidth=2,label='Ocean')\n",
    "ax1.plot(t,Ts,c=oranges[2],linewidth=2,label='Sound')\n",
    "ax1.set_ylim( (2, 14) )\n",
    "ax1.set_ylabel('Peak Period (s)')\n",
    "ax1.set_xticklabels(tl)\n",
    "ax1.legend(loc='upper right')\n",
    "\n",
    "plt.xlabel('2019-09-06 (UTC)')\n",
    "figname = 'Hwave_ts.png'\n",
    "plt.savefig( figname, dpi=200, bbox_inches='tight')"
   ]
  }
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