2019 · 30 citations · 106 references
Natural ResourcesHydrologyWater Resources ManagementHydrologic ModelingIntegrated Water Resources ManagementWater Resource ManagementHydrological ModelingWater ManagementWater Resource AssessmentWater Resources Impact AssessmentCommunity Water SystemsGlobal Model ResolutionHigh-resolution Hydrological ModellingHydro-economic ModelingHydrological ModellingModel Intercomparison StudiesReturn FlowsWater Resource Simulation
Abstract. We develop a new large-scale hydrological and water resources model, the Community Water Model (CWatM), which can simulate hydrology both globally and regionally at different resolutions from 30 arc min to 30 arc sec at daily time steps. CWatM is open-source in the Python programming environment and has a modular structure. It uses global, freely available data in the netCDF4 file format for reading, storage, and production of data in a compact way. CWatM includes general surface and groundwater hydrological processes, but also takes into account human activities, such as water use and reservoir regulation, by calculating water demands, water use, and return flows. Reservoirs and lakes are included in the model scheme. CWatM is used in the framework of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP), which compares global model outputs. The flexible model structure allows dynamic interaction with hydro-economic and water quality models for the assessment and evaluation of water management options. Furthermore, the novelty of CWatM is its combination of state-of the-art hydrological modeling, modular programming, an online user manual and automatic source code documentation, global and regional assessments at different spatial resolutions, and a potential community to add to, change, and expand the open-source project. CWatM also strives to build a community learning environment which is able to freely use an open-source hydrological model and flexible coupling possibilities to other sectoral models, such as energy and agriculture.
106
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The representative concentration pathways: an overview
Detlef P. van Vuuren, Jae Edmonds, Mikiko Kainuma et al. · Climatic Change · 2011 · 8K citations · Full text
Natural Sciences, Earth Sciences, Environmental Sciences +17