The ISIMIP Groundwater Sector: A Framework for Ensemble Modeling of Global Change Impacts on Groundwater (original) (raw)

Published December 31, 2025 | Version v2

Dataset Open

Authors/Creators

• Reinecke, Robert (Contact person)1

• Bäthge, Annemarie (Related person)1

• Dietrich, Ricarda (Researcher)1

• Gnann, Sebastian (Researcher)2

• Gosling, Simon (Researcher)3

• Grogan, Danielle (Researcher)4

• Hartmann, Andreas (Researcher)5

• Kollet, Stefan6

• Kumar, Rohini (Researcher)7

• Lammers, Richard (Researcher)4

• Liu, Sida (Researcher)8

• Liu, Yan (Researcher)9

• Moosdorf, Nils (Researcher)10, 11

• Naz, Bibi (Researcher)9

• Nazari, Sara (Researcher)10

• Orazulike, Chibuike (Researcher)5

• Pokhrel, Yadu (Researcher)12

• Schewe, Jacob (Researcher)13

• Smilovic, Mikhail (Researcher)14, 15

• Strokal, Maryna (Researcher)8

• Wada, Yoshihide (Researcher)16

• Zuidema, Shan (Researcher)4

• de Graaf, Inge (Researcher)8

• 1. Johannes Gutenberg University Mainz

• 2. University of Freiburg

• 3. University of Nottingham

• 4. University of New Hampshire, Institute for the Study of Earth, Oceans & Space

• 5. TU Dresden

• 6. Research Centre Juelich GmbH

• 7. Helmholtz Centre for Environmental Research

• 8. Wageningen University & Research

• 9. Forschungszentrum Jülich

• 10. Leibniz Centre for Tropical Marine Research

• 11. Kiel University

• 12. Michigan State University

• 13. Potsdam Institute for Climate Impact Research

• 14. International Institute for Applied Systems Analysis

• 15. ETH Zürich

• 16. King Abdullah University of Science and Technology

Description

Global ensemble mean static water table depth (WTD) and groundwater recharge change from 2001-2006 based on a ensemble of groundwater models. This is not yet a real ISIMIP ensemble, but rather a demonstration of results based on current available modle runs. The script folder contains the original preprocessing scripts and plotting scripts. The pre-processing was combined with a GIS-based spatial merge using QGIS. The model outputs are based on already publsihed data. Please refer to the original paper for datasources.

Files

Zenodo.zip

Files (95.9 MB)