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Abstract
Water – Global Assessment and Prognosis (WaterGAP) is a modeling approach for quantifying water resources and water use for all land areas of the Earth that has served science and society since 1996. In this paper, the refinements, new algorithms, and new data of the most recent model version v2.2e are described, together with a thorough evaluation of the simulated water use, streamflow, and terrestrial water storage anomaly against observation data. WaterGAP v2.2e improves the handling of inland sinks and now excludes not only large but also small human-made reservoirs when simulating naturalized conditions. The reservoir and non-irrigation water use data were updated. In addition, the model was calibrated against an updated and extended data set of streamflow observations at 1509 gauging stations. The modifications resulted in a small decrease in the estimated global renewable water resources. The model can now be started using prescribed water storages and other conditions, facilitating data assimilation and near-real-time monitoring and forecast simulations. For specific applications, the model can consider the output of a glacier model, approximate the effect of rising CO2 concentrations on evapotranspiration, or calculate the water temperature in rivers. In the paper, the publicly available standard model output is described, and caveats of the model version are provided alongside the description of the model setup in the ISIMIP3 framework.
Original language | English |
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Journal | Geoscientific Model Development |
Volume | 17 |
Issue number | 23 |
Pages (from-to) | 8817-8852 |
Number of pages | 36 |
DOIs | |
Publication status | Published - 12 Dec 2024 |
Bibliographical note
Publisher Copyright:© Author(s) 2024. This work is distributed under the Creative Commons Attribution 4.0 License.
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A Novel Synergy of Physics-based and Data-driven Methods for Reliable Hydrological Predictions under Changing Climate
Schumacher, M. (PI), Forootan, E. (CoI), Döll, P. (CoI), Wedi, N. (CoI), Bates, P. (CoI), Jagdhuber, T. (CoI) & van Dijk, A. I. (CoI)
01/04/2024 → 31/03/2029
Project: Research
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DANSk-LSM: Developing efficient multi-sensor Data Assimilation frameworks for integrating Earth ObservatioN Satellite data into Land Surface Models (DANSk-LSM)
Forootan, E. (PI), Schumacher, M. (CoI), Yang, F. (Project Participant) & Retegui Schiettekatte, L. A. (Project Participant)
Uddannelses- og forskningsministeriet
01/09/2022 → 31/08/2026
Project: Research
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Translation of climate information into multilevel decision support for social adaptation, policy development, and resilience to water scarcity in the Horn of Africa Drylands
Schumacher, M. (PI) & Forootan, E. (PI)
01/08/2020 → 01/09/2024
Project: Research