ISIMIP3b Simulation Data from the Global Water Sector

Cite as

Simon N. Gosling, Hannes Müller Schmied, Anna Bradley, Peter Burek, Nicola Gedney, Manolis Grillakis, Luca Guillaumot, Naota Hanasaki, Akihiko Ito, Sian Kou-Giesbrecht, Aristeidis Koutroulis, Kazuya Nishina, Kedar Otta, Wei Qi, Reetik-Kumar Sahu, Yusuke Satoh, Jacob Schewe (2026): ISIMIP3b Simulation Data from the Global Water Sector (v1.8). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.230418.8

Metadata

DOI:
https://doi.org/10.48364/ISIMIP.230418.8
Title:
ISIMIP3b Simulation Data from the Global Water Sector
Version:
1.8
Creators:
Contact person:

For inquiries concerning this dataset, please contact info@isimip.org.

Abstract:

This dataset contains ISIMIP3b (www.isimip.org, Frieler et al. 2024, in prep.) simulation data from 4 global water models: CLASSIC (Melton et al. 2020, Asaadi et al. 2021), CWatM (Burek et al. 2020), H08 (Hanasaki et al. 2018, Yoshida et al. 2022), JULES-ES-VN6P3 (Mathison et al. 2023, https://code.metoffice.gov.uk/trac/jules) JULES-W2 (Best et al. 2011, Clark et al. 2011, https://jules.jchmr.org) MIROC-INTEG-LAND (Yokohata et al. 2020, Pokhrel et al. 2014, Takata et al. 2003), VISIT (Ito et al. 2018), WaterGAP2-2e (Müller Schmied et al. 2021) and WEB-DHM-SG (Qi et al. 2022, Wang et al. 2009, Qi et al. 2019, Qi et al. 2020, Qi et al. 2022).

The outputs are based on simulations according to the ISIMIP3a protocol (https://protocol.isimip.org) A more detailed description of the models are available on https://www.isimip.org.

Version 1.1 adds additional data for MIROC-INTEG-LAND and WaterGAP2-2e, and resolves an issue with CLASSIC (#48).

Version 1.2 of this dataset updates evaporation data from CWatM (#57) and adds missing files from MIROC-INTEG-LAND.

Version 1.3 of this dataset adds data for JULES-ES-VN6P3, JULES-W2, VISIT.

Version 1.4 of this dataset adds the WEB-DHM-SG model.

Version 1.5 of this dataset fixes an issue with wrongly labeled future default simulations for JULES-ES-VN6P3 (#72) as well as an issue with the layer definitions for soilmoist and soilmoistfroz for JULES-W2 (#73).

Version 1.6 of this dataset replaces the groundwstor files for H08 (#75).

Version 1.7 of this dataset adds daily files for the swe variable for H08.

Version 1.8 of this dataset adds files for JULES-ES-VN6P3 (for the variables npp and fnnetmin and for the 2015co2 sensitivity experiments) and fixes naming inconsistencies (#81).

Publication date:
March 15, 2026
Publisher:
ISIMIP Repository
Contributors:

Here we list the persons and organizations, who are responsible for the collection, the management, and the publication of this dataset.

Rights

The datasets for this DOI are published under different usage rights (please check the license statement for each dataset):
CC0 1.0 Universal Public Domain Dedication
CC0 1.0 Universal Public Domain Dedication (CC0 1.0)
Attribution 4.0 International
Attribution 4.0 International (CC BY 4.0)
When using ISIMIP data for your research, please appropriately credit the data providers, e.g. either by citing the DOI for the dataset, or by appropriate acknowledgment. We strongly encourage to offer co-authorship to at least a representative of the data providers. Further information can be found in our terms of use.

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References

  • Asaadi A, Arora V et al. Implementation of nitrogen cycle in the CLASSIC land model. Biogeosciences, 18, 669-706, 2021. https://doi.org/10.5194/bg-18-669-2021
  • Best M, Pryor M, Clark D, Rooney G, Essery R, Ménard C, Edwards J, Hendry M, Porson A, Gedney N, Mercado L, Sitch S, Blyth E, Boucher O, Cox P, Grimmond C, Harding R et al. The Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes. Geoscientific Model Development, 4, 677-699, 2011. https://doi.org/10.5194/gmd-4-677-2011
  • Burek P, Satoh Y, Kahil T, Tang T, Greve P, Smilovic M, Guillaumot L, Zhao F, Wada Y et al. Development of the Community Water Model (CWatM v1.04) – a high-resolution hydrological model for global and regional assessment of integrated water resources management. Geoscientific Model Development, 13, 3267-3298, 2020. https://doi.org/10.5194/gmd-13-3267-2020
  • Clark, D. B., Mercado, L. M., Sitch, S., Jones, C. D., Gedney, N., Best, M. J., Pryor, M., Rooney, G. G., Essery, R. L. H., Blyth, E., Boucher, O., Harding, R. J., Huntingford, C., and Cox, P. M. et al. The Joint UK Land Environment Simulator (JULES), model description – Part 2: Carbon fluxes and vegetation dynamics. Geoscientific Model Development, 4, 701–722, 2011. https://doi.org/10.5194/gmd-4-701-2011
  • Hanasaki, N., Yoshikawa, S., Pokhrel, Y., Kanae, S. et al. A global hydrological simulation to specify the sources of water used by humans. Hydrol. Earth Syst. Sci., 22, 789–817, 2018. https://doi.org/10.5194/hess-22-789-2018
  • Ito, A. et al. Disequilibrium of terrestrial ecosystem CO2 budget caused by disturbance-induced emissions and non-CO2 carbon export flows: a global model assessment. Earth System Dynamics, 10, 685–709,. https://doi.org/10.5194/esd-10-685-2019
  • Joe R. Melton, Vivek K. Arora, Eduard Wisernig-Cojoc, Christian Seiler, Matthew Fortier, Ed Chan, and Lina Teckentrup et al. CLASSIC v1.0: the open-source community successor to the Canadian Land Surface Scheme (CLASS) and the Canadian Terrestrial Ecosystem Model (CTEM) – Part 1: Model framework and site-level performance. Geoscientific Model Development, 13, 2825–2850, 2020. https://doi.org/10.5194/gmd-13-2825-2020
  • Mathison, C., Burke, E., Hartley, A. J., Kelley, D. I., Burton, C., Robertson, E., Gedney, N., Williams, K., Wiltshire, A., Ellis, R. J., Sellar, A. A., and Jones, C. D. et al. Description and evaluation of the JULES-ES set-up for ISIMIP2b. Geoscientific Model Development, 16, 4249-4264, 2023. https://doi.org/10.5194/gmd-16-4249-2023
  • Müller Schmied, H., Trautmann, T., Ackermann, S., Cáceres, D., Flörke, M., Gerdener, H., Kynast, E., Peiris, T. A., Schiebener, L., Schumacher, M., and Döll, P.: The global water resources and use model WaterGAP v2.2e: description and evaluation of modifications and new features, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2023-213, in review, 2023.
  • Pokhrel Y, Koirala S, Yeh P, Hanasaki N, Longuevergne L, Kanae S, Oki T et al. Incorporation of groundwater pumping in a global Land Surface Model with the representation of human impacts. Water Resources Research, 51, 78-96, 2014. https://doi.org/10.1002/2014wr015602
  • Qi W, Feng L, Kuang X, Zheng C, Liu J, Chen D, Tian Y, Yao Y et al. Divergent and Changing Importance of Glaciers and Snow as Natural Water Reservoirs in the Eastern and Southern Tibetan Plateau. Journal of Geophysical Research: Atmospheres, 127, 2022. https://doi.org/10.1029/2021jd035888
  • Qi W, Feng L, Liu J, Yang H et al. Snow as an Important Natural Reservoir for Runoff and Soil Moisture in Northeast China. Journal of Geophysical Research: Atmospheres, 125, 2020. https://doi.org/10.1029/2020jd033086
  • Qi W, Feng L, Yang H, Liu J, Zheng Y, Shi H, Wang L, Chen D et al. Economic growth dominates rising potential flood risk in the Yangtze River and benefits of raising dikes from 1991 to 2015. Environmental Research Letters, 17, 034046, 2022. https://doi.org/10.1088/1748-9326/ac5561
  • Qi W, Liu J, Leung F et al. A framework to quantify impacts of elevated CO2 concentration, global warming and leaf area changes on seasonal variations of water resources on a river basin scale. Journal of Hydrology, 570, 508-522, 2019. https://doi.org/10.1016/j.jhydrol.2019.01.015
  • Takata K, Emori S, Watanabe T et al. Development of the minimal advanced treatments of surface interaction and runoff. Global and Planetary Change, 38, 209-222, 2003. https://doi.org/10.1016/s0921-8181(03)00030-4
  • Tokuta Yokohata et al. MIROC-INTEG-LAND version 1: a global biogeochemical land surface model with human water management, crop growth, and land-use change. Geosci. Model Dev., 13, 4713–4747, 2020. https://doi.org/10.5194/gmd-13-4713-2020
  • Wang L, Koike T, Yang K, Jackson T, Bindlish R, Yang D et al. Development of a distributed biosphere hydrological model and its evaluation with the Southern Great Plains Experiments (SGP97 and SGP99). Journal of Geophysical Research, 114, 2009. https://doi.org/10.1029/2008jd010800
  • Yoshida, T., Hanasaki, N., Nishina, K., Boulange, J., Okada, M., Troch, P. A. et al. Inference of parameters for a global hydrological model by applying Approximate Bayesian Computation: Identifiability of climate-based parameters. Water Resources Research, 58, e2021WR030660, 2022. https://doi.org/10.1029/2021WR030660

Additional documentation

Other references

This DOI is a new version of

  • Gosling, Simon N.; Müller Schmied, Hannes; Bradley, Anna; Burek, Peter; Gedney, Nicola; Grillakis, Manolis; Guillaumot, Luca; Hanasaki, Naota; Ito, Akihiko; Kou-Giesbrecht, Sian; Koutroulis, Aristeidis; Nishina, Kazuya; Otta, Kedar; Qi, Wei; Sahu, Reetik-Kumar; Satoh, Yusuke; Schewe, Jacob (2025): ISIMIP3b Simulation Data from the Global Water Sector. Version 1.7. ISIMIP Repository. (Dataset). https://doi.org/10.48364/ISIMIP.230418.7.

Version History

GCMD Keywords

  • EARTH SCIENCE > AGRICULTURE > AGRICULTURAL PLANT SCIENCE > IRRIGATION
  • EARTH SCIENCE > CLIMATE INDICATORS > TERRESTRIAL HYDROSPHERE INDICATORS > FRESHWATER RUNOFF
  • EARTH SCIENCE > CRYOSPHERE > SNOW/ICE > SNOW WATER EQUIVALENT
  • EARTH SCIENCE > HUMAN DIMENSIONS > ECONOMIC RESOURCES > ENERGY PRODUCTION/USE > HYDROELECTRIC ENERGY PRODUCTION/USE
  • EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT > ENVIRONMENTAL ASSESSMENTS
  • EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT > WATER MANAGEMENT
  • EARTH SCIENCE > HUMAN DIMENSIONS > HABITAT CONVERSION/FRAGMENTATION > IRRIGATION
  • EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS > DROUGHTS
  • EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS > FLOODS
  • EARTH SCIENCE > HUMAN DIMENSIONS > SUSTAINABILITY > ENVIRONMENTAL SUSTAINABILITY
  • EARTH SCIENCE > HUMAN DIMENSIONS > SUSTAINABILITY > SUSTAINABLE DEVELOPMENT
  • EARTH SCIENCE > LAND SURFACE > SOILS > SOIL MOISTURE/WATER CONTENT
  • EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > GROUND WATER > GROUND WATER PROCESSES/MEASUREMENTS > DISCHARGE
  • EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SNOW/ICE > SNOW WATER EQUIVALENT
  • EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER FEATURES > RIVERS/STREAMS
  • EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER PROCESSES/MEASUREMENTS > AQUIFER RECHARGE
  • EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER PROCESSES/MEASUREMENTS > FLOODS
  • EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER PROCESSES/MEASUREMENTS > RUNOFF
  • EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER PROCESSES/MEASUREMENTS > TOTAL SURFACE WATER
  • Global Change Master Directory (GCMD) Keywords are a hierarchical set of controlled vocabularies maintained by NASA (more information).

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