Articles | Volume 13, issue 7
Geosci. Model Dev., 13, 3267–3298, 2020
https://doi.org/10.5194/gmd-13-3267-2020
Geosci. Model Dev., 13, 3267–3298, 2020
https://doi.org/10.5194/gmd-13-3267-2020

Model description paper 21 Jul 2020

Model description paper | 21 Jul 2020

Development of the Community Water Model (CWatM v1.04) – a high-resolution hydrological model for global and regional assessment of integrated water resources management

Peter Burek et al.

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Cited articles

Alcamo, J., Döll, P., Henrichs, T., Kaspar, F., Lehner, B., Rösch, T., and Siebert, S.: Development and testing of the WaterGAP 2 global model of water use and availability, Hydrolog. Sci. J., 48, 317–338, https://doi.org/10.1623/hysj.48.3.317.45290, 2003. 
Alcamo, J., Flörke, M., and Märker, M.: Future long-term changes in global water resources driven by socio-economic and climatic changes, Hydrolog. Sci. J., 52, 247–275, https://doi.org/10.1623/hysj.52.2.247, 2007. 
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56, FAO, Rome, 300, D05109, 1998. 
Anderson, E.: Snow Accumulation and Ablation Model – SNOW-17, Technical report, 2006. 
Bakker, M., Post, V., Langevin, C. D., Hughes, J. D., White, J. T., Starn, J. J., and Fienen, M. N.: Scripting MODFLOW Model Development Using Python and FloPy, Groundwater, 54, 733–739, https://doi.org/10.1111/gwat.12413, 2016. 
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We present the new global hydrological model "Community Water Model" (CWatM), which can be used globally and regionally. The model is open source and written with the Python programming language. It uses global, freely available data in a smart and state-of-the-art format. It includes the major hydrological processes but also takes into account human activities, such as water use and reservoir regulation, by calculating water demand from the agriculture, domestic, and industrial sectors.