Graphical representation of global water models
Issued Date
2025-04-23
Resource Type
ISSN
1991959X
eISSN
19919603
Scopus ID
2-s2.0-105003648004
Journal Title
Geoscientific Model Development
Volume
18
Issue
8
Start Page
2409
End Page
2425
Rights Holder(s)
SCOPUS
Bibliographic Citation
Geoscientific Model Development Vol.18 No.8 (2025) , 2409-2425
Suggested Citation
Müller Schmied H., Gosling S.N., Garnsworthy M., Müller L., Telteu C.E., Ahmed A.K., Andersen L.S., Boulange J., Burek P., Chang J., Chen H., Gudmundsson L., Grillakis M., Guillaumot L., Hanasaki N., Koutroulis A., Kumar R., Leng G., Liu J., Liu X., Menke I., Mishra V., Pokhrel Y., Rakovec O., Samaniego L., Satoh Y., Shah H.L., Smilovic M., Stacke T., Sutanudjaja E., Thiery W., Tsilimigkras A., Wada Y., Wanders N., Yokohata T. Graphical representation of global water models. Geoscientific Model Development Vol.18 No.8 (2025) , 2409-2425. 2425. doi:10.5194/gmd-18-2409-2025 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/110029
Title
Graphical representation of global water models
Author(s)
Müller Schmied H.
Gosling S.N.
Garnsworthy M.
Müller L.
Telteu C.E.
Ahmed A.K.
Andersen L.S.
Boulange J.
Burek P.
Chang J.
Chen H.
Gudmundsson L.
Grillakis M.
Guillaumot L.
Hanasaki N.
Koutroulis A.
Kumar R.
Leng G.
Liu J.
Liu X.
Menke I.
Mishra V.
Pokhrel Y.
Rakovec O.
Samaniego L.
Satoh Y.
Shah H.L.
Smilovic M.
Stacke T.
Sutanudjaja E.
Thiery W.
Tsilimigkras A.
Wada Y.
Wanders N.
Yokohata T.
Gosling S.N.
Garnsworthy M.
Müller L.
Telteu C.E.
Ahmed A.K.
Andersen L.S.
Boulange J.
Burek P.
Chang J.
Chen H.
Gudmundsson L.
Grillakis M.
Guillaumot L.
Hanasaki N.
Koutroulis A.
Kumar R.
Leng G.
Liu J.
Liu X.
Menke I.
Mishra V.
Pokhrel Y.
Rakovec O.
Samaniego L.
Satoh Y.
Shah H.L.
Smilovic M.
Stacke T.
Sutanudjaja E.
Thiery W.
Tsilimigkras A.
Wada Y.
Wanders N.
Yokohata T.
Author's Affiliation
Institute for Population and Social Research, Mahidol University
Climate Analytics
College of Engineering
College of Environmental and Resource Sciences
Senckenberg Biodiversität und Klima Forschungszentrum
Southern University of Science and Technology
Indian Institute of Technology Gandhinagar
North China University of Water Resources and Electric Power
Institut für Atmosphäre und Klima
King Abdullah University of Science and Technology
Korea Advanced Institute of Science and Technology
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
National Institute for Environmental Studies of Japan
Max Planck Institute for Meteorology
Vrije Universiteit Brussel
Czech University of Life Sciences Prague
Technical University of Crete
Universität Potsdam
International Institute for Applied Systems Analysis, Laxenburg
Helmholtz Zentrum für Umweltforschung
University of Nottingham
Leibniz-Gemeinschaft
Universiteit Utrecht
Goethe-Universität Frankfurt am Main
BRGM
Tokyo University of Agriculture and Technology
Humboldt-Universität zu Berlin
Icebird Studio
Climate Analytics
College of Engineering
College of Environmental and Resource Sciences
Senckenberg Biodiversität und Klima Forschungszentrum
Southern University of Science and Technology
Indian Institute of Technology Gandhinagar
North China University of Water Resources and Electric Power
Institut für Atmosphäre und Klima
King Abdullah University of Science and Technology
Korea Advanced Institute of Science and Technology
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
National Institute for Environmental Studies of Japan
Max Planck Institute for Meteorology
Vrije Universiteit Brussel
Czech University of Life Sciences Prague
Technical University of Crete
Universität Potsdam
International Institute for Applied Systems Analysis, Laxenburg
Helmholtz Zentrum für Umweltforschung
University of Nottingham
Leibniz-Gemeinschaft
Universiteit Utrecht
Goethe-Universität Frankfurt am Main
BRGM
Tokyo University of Agriculture and Technology
Humboldt-Universität zu Berlin
Icebird Studio
Corresponding Author(s)
Other Contributor(s)
Abstract
Numerical models are simplified representations of the real world at a finite level of complexity. Global water models are used to simulate the terrestrial part of the global water cycle, and their outputs contribute to the evaluation of important natural and societal issues, including water availability, flood risk, and ecological functioning. Whilst global water modeling is an area of science that has developed over several decades, and individual model-specific descriptions exist for some models, there has to date been no attempt to visualize the ways that several models work, using a standardized visualization framework. Here, we address this gap by presenting a community-driven process that developed a framework to visualize several global water models. The models considered participate in the Inter-Sectoral Impact Model Intercomparison Project phase 2b (ISIMIP2b). The diagrams were co-produced between a graphics designer and 16 modeling teams, based on extensive discussions and pragmatic decision-making that balanced the need for accuracy and detail against the need for effective visualization. The model diagrams are based on a standardized ISIMIP2b-complete global water model that represents what is theoretically possible to represent in the current generation of state-of-the-art global water models participating in ISIMIP2b. Model-specific diagrams are then copies of the ISIMIP2b-complete model, with individual processes either included or grayed out. An open-source tool has been developed and published jointly with the diagrams, which allows someone to generate a diagram for their own global water model by adapting the diagrams presented here. As well as serving an educational purpose, we envisage that the diagrams will help researchers in and outside of the global water model community to select suitable model(s) for specific applications, stimulate a community learning process, and identify missing components to help direct future model developments.