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The full name of the project is "Coupled Water Balance and Vegetation Optimality Model", in short "VOM". The model predicts vegetation water use based on meteorological information, soils and topography only, without the need for prescribing site-specific vegetation properties or calibration against observed fluxes. It arose from a PhD thesis by Stan Schymanski (http://theses.library.uwa.edu.au/adt-WU2007.0095/), who also wrote the original code. Initial contributors to model code and documentation are Andreas Ostrowski and Steffen Richter.
To download the up to date model code and documentation, click here or go to https://github.com/schymans/VOM/releases and choose an appropriate tag. The following tags are available:
- Thesis8n_CVF: This code represents the model described in the PhD thesis of S. Schymanski. It was written for the Compaq Visual Fortran Compiler (CVF).
- VOM_0.1: This code should be compiler-independent and is accompanied by a detailed documentation.
- VOM_0.2: Updated version of the code and documentation.
- last_rew_based: Most up-to-date version of model that was still based on original REW-formulation of the water balance.
- AoB2015: Version of code used for Schymanski et al. (2015), Annals of Botany Plants.
The model is described in the folder VOM-docu of the main branch or each tag, which contains an html documentation and instructions on how to compile and run the model, as well as a pdf documentation.
Schymanski, S.J., Sivapalan, M., Roderick, M.L., Hutley, L.B. and Beringer, J. (2009): An Optimality-Based Model of the Dynamic Feedbacks between Natural Vegetaton and the Water Balance. Water Resources Research 45, p.W01412. doi: 10.1029/2008WR006841. http://www.bgc-jena.mpg.de/bgc-theory/index.php/Pubs/2009-WRR-SS
Schymanski, S. J., Roderick, M. L. and Sivapalan, M. (2015): Using an optimality model to understand medium and long-term responses of vegetation water use to elevated atmospheric CO2 concentrations, AoB PLANTS, 7, plv060, doi:10.1093/aobpla/plv060. https://academic.oup.com/aobpla/article/doi/10.1093/aobpla/plv060/201663/Using-an-optimality-model-to-understand-medium-and