ISIMIP2b Simulation Data from the Global Water Sector

Please note that a newer version of this DOI is available: https://doi.org/10.48364/ISIMIP.626689.1

Cite as

Simon N. Gosling, Peter Burek, Jinfeng Chang, Philippe Ciais, Petra Döll, Stephanie Eisner, Gabriel Fink, Martina Flörke, Wietse Franssen, Manolis Grillakis, Stefan Hagemann, Naota Hanasaki, Aristeidis Koutroulis, Guoyong Leng, Xingcai Liu, Yoshimitsu Masaki, Camilla Mathison, Vimal Mishra, Hannes Müller Schmied, Sebastian Ostberg, Felix Portmann, Wei Qi, Reetik-Kumar Sahu, Yusuke Satoh, Jacob Schewe, Sonia Seneviratne, Harsh L. Shah, Tobias Stacke, Fulu Tao, Camelia Telteu, Wim Thiery, Tim Trautmann, Ioannis Tsanis, Niko Wanders, Ren Zhai, Matthias Büchner, Jacob Schewe, Fang Zhao (2023): ISIMIP2b Simulation Data from the Global Water Sector (v1.0). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.626689

Metadata

DOI:
https://doi.org/10.48364/ISIMIP.626689
Title:
ISIMIP2b Simulation Data from the Global Water Sector
Version:
1.0
Creators:
Abstract:

This dataset contains ISIMIP2b (https://www.isimip.org, Frieler et al. 2017) simulation data from 15 global water models: CLM4.5 (Thiery et al. 2017, Lawrence et al. 2011), CLM5.0 (Lawrence et al. 2019), CWatM (Burek et al. 2020, Burek et al. 2020), DBH (Tang et al. 2007, Tang et al. 2008), H08 (Hanasaki et al. 2018, Hanasaki et al. 2008, Hanasaki et al. 2016), JULES-ES-55 (https://code.metoffice.gov.uk/trac/jules), JULES-W1 (Best et al. 2011), LPJmL (Sitch et al. 2003, Schaphoff et al. 2013, Jägermeyr et al. 2015), MATSIRO (Takata et al. 2003, Pokhrel et al. 2014), MPI-HM (Stacke et al. 2012), ORCHIDEE (Guimberteau et al. 2014, Guimberteau et al. 2017), ORCHIDEE-DGVM (Guimberteau et al. 2014, Guimberteau et al. 2017), PCR-GLOBWB (https://globalhydrology.nl/research/models/pcr-globwb-2-0, Sutanudjaja et al. 2018), VIC (https://vic.readthedocs.io/en/master/, Liang et al. 1994), WaterGAP2-2c (http://watergap.de, Müller Schmied et al. 2015, Müller Schmied et al. 2014, Müller Schmied et al. 2017), and WEB-DHM-SG (Qi et al. 2020, Shrestha et al. 2010, Wang et al. 2009).

Methods:

The ISIMIP2b global water outputs are based on simulations from global water models according to the ISIMIP2b protocol (https://www.isimip.org/protocol/2b/). A more detailed description of the models and model-specific amendments of the protocol are available at https://www.isimip.org/impactmodels.

Publication date:
May 24, 2023
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):
Attribution 4.0 International
Attribution 4.0 International (CC BY 4.0)
Attribution-NonCommercial 4.0 International
Attribution-NonCommercial 4.0 International (CC BY-NC 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

  • 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 Discussions, 4, 595-640, 2011. https://doi.org/10.5194/gmdd-4-595-2011
  • Burek, P., Satoh, Y., Kahil, T., Tang, T., Greve, P., Smilovic, M., Guillaumot, L., Zhao, F., and 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. Geosci. Model Dev, 13, 3267–3298, 2020. https://doi.org/10.5194/gmd-13-3267-2020,
  • David M. Lawrence et al. The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty. Journal of Advances in Modeling Earth Systems, 11, None, 2019. https://doi.org/10.1029/2018MS001583
  • Frieler, K., Lange, S., Piontek, F., Reyer, C. P. O., Schewe, J., Warszawski, L., Zhao, F., Chini, L., Denvil, S., Emanuel, K., Geiger, T., Halladay, K., Hurtt, G., Mengel, M., Murakami, D., Ostberg, S., Popp, A., Riva, R., Stevanovic, M., Suzuki, T., Volkholz, J., Burke, E., Ciais, P., Ebi, K., Eddy, T. D., Elliott, J., Galbraith, E., Gosling, S. N., Hattermann, F., Hickler, T., Hinkel, J., Hof, C., Huber, V., Jägermeyr, J., Krysanova, V., Marcé, R., Müller Schmied, H., Mouratiadou, I., Pierson, D., Tittensor, D. P., Vautard, R., van Vliet, M., Biber, M. F., Betts, R. A., Bodirsky, B. L., Deryng, D., Frolking, S., Jones, C. D., Lotze, H. K., Lotze-Campen, H., Sahajpal, R., Thonicke, K., Tian, H., and Yamagata, Y.: Assessing the impacts of 1.5 °C global warming – simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b), Geosci. Model Dev., 10, 4321–4345, 2017. https://doi.org/10.5194/gmd-10-4321-2017
  • Guimberteau M, Ducharne A, Ciais P, Boisier J, Peng S, De Weirdt M, Verbeeck H et al. Testing conceptual and physically based soil hydrology schemes against observations for the Amazon Basin. Geoscientific Model Development, 7, 1115-1136, 2014. https://doi.org/10.5194/gmd-7-1115-2014
  • Guimberteau M, Zhu D, Maignan F, Huang Y, Yue C, Dantec-N\u00e9d\u00e9lec S, Ottl\u00e9 C, Jornet-Puig A, Bastos A, Laurent P, Goll D, Bowring S, Chang J, Guenet B, Tifafi M, Peng S, Krinner G, Ducharne A, Wang F, Wang T, Wang X, Wang Y, Yin Z, Lauerwald R, Joetzjer E, Qiu C, Kim H, Ciais P et al. ORCHIDEE-MICT (revision 4126), a land surface model for the high-latitudes: model description and validation. Geoscientific Model Development Discussions, 1-65, 2017. https://doi.org/10.5194/gmd-2017-122
  • Hanasaki N, Kanae S, Oki T, Masuda K, Motoya K, Shirakawa N, Shen Y, Tanaka K et al. An integrated model for the assessment of global water resources – Part 2: Applications and assessments. Hydrol. Earth Syst. Sci., 12, 1027-1037, 2008. https://doi.org/10.5194/hess-12-1027-2008
  • Hanasaki N, Yoshikawa S, Kakinuma K, Kanae S, et al. A seawater desalination scheme for global hydrological models . Hydrol. Earth Syst. Sci., 20, 4143-4157, 2016. https://doi.org/10.5194/hess-20-4143-2016
  • 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
  • Jägermeyr J, Gerten D, Heinke J, Schaphoff S, Kummu M, Lucht W et al. Water savings potentials of irrigation systems: global simulation of processes and linkages. Hydrology and Earth System Sciences, 19, 3073-3091, 2015. https://doi.org/10.5194/hess-19-3073-2015
  • Lawrence, D., et al., Parameterization Improvements and Functional and Structural Advances in Version 4 of the Community Land Model. J. Adv. Model. Earth Syst., 3, M03001, 2011. https://doi.org/10.1029/2011MS000045
  • Model Homepage CWatM.  → https://cwatm.iiasa.ac.at
  • Müller Schmied, H., Adam, L., Eisner, S., Fink, G., Flörke, M., Kim, H., Oki, T., Portmann, F. T., Reinecke, R., Riedel, C., Song, Q., Zhang, J., and Döll, P.: Variations of global and continental water balance components as impacted by climate forcing uncertainty and human water use, Hydrol. Earth Syst. Sci., 20, 2877–2898, 2016. https://doi.org/10.5194/hess-20-2877-2016
  • Müller Schmied H, Eisner S, Franz D, Wattenbach M, Portmann F, Flörke M, Döll P et al. Sensitivity of simulated global-scale freshwater fluxes and storages to input data, hydrological model structure, human water use and calibration. Hydrology and Earth System Sciences, 18, 3511-3538, 2014. https://doi.org/10.5194/hess-18-3511-2014
  • Oleson, K., Lawrence, D. M., Bonan, G. B., Drewniak, B., Huang, M., Koven, C. D., … Yang, Z. -L. et al. Technical description of version 4.5 of the Community Land Model (CLM). Tech. Rep., Natl. Center for Atmos. Res., 420, 2013. https://doi.org/10.5065/D6RR1W7M
  • 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., 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, None, 2020. https://doi.org/10.1029/2020JD033086
  • Schaphoff S, Heyder U, Ostberg S, Gerten D, Heinke J, Lucht W et al. Contribution of permafrost soils to the global carbon budget. Environmental Research Letters, 8, 014026, 2013. https://doi.org/10.1088/1748-9326/8/1/014026
  • Shrestha M, Wang L, Koike T, Xue Y, Hirabayashi Y et al. Improving the snow physics of WEB-DHM and its point evaluation at the SnowMIP sites. Hydrology and Earth System Sciences, 14, 2577-2594, 2010. https://doi.org/10.5194/hess-14-2577-2010
  • Sitch S, Smith B, Prentice I, Arneth A, Bondeau A, Cramer W, Kaplan J, Levis S, Lucht W, Sykes M, Thonicke K, Venevsky S et al. Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Global Change Biology, 9, 161-185, 2003. https://doi.org/10.1046/j.1365-2486.2003.00569.x
  • Stacke T, Hagemann S et al. Development and evaluation of a global dynamical wetlands extent scheme. Hydrology and Earth System Sciences, 16, 2915-2933, 2012. https://doi.org/10.5194/hess-16-2915-2012
  • Sutanudjaja, E. H., van Beek, R., Wanders, N., Wada, Y., Bosmans, J. H. C., Drost, N., van der Ent, R. J., de Graaf, I. E. M., Hoch, J. M., de Jong, K., Karssenberg, D., López López, P., Peßenteiner, S., Schmitz, O., Straatsma, M. W., Vannametee, E., Wisser, D., and Bierkens, M. F. P et al. PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model. Geoscientific Model Development, 11, 2429-2453, 2018. https://doi.org/10.5194/gmd-11-2429-2018
  • 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
  • Tang Q, Oki T, Kanae S, Hu H et al. Hydrological Cycles Change in the Yellow River Basin during the Last Half of the Twentieth Century. Journal of Climate, 21, 1790-1806, 2008. https://doi.org/10.1175/2007jcli1854.1
  • Tang Q, Oki T, Kanae S, Hu H et al. The Influence of Precipitation Variability and Partial Irrigation within Grid Cells on a Hydrological Simulation. Journal of Hydrometeorology, 8, 499-512, 2007. https://doi.org/10.1175/jhm589.1
  • Thiery, W., et al. et al. Present-day irrigation mitigates heat extremes. J. Geophys. Res. Atm., 122, 1403-1422, 2017. https://doi.org/10.1002/2016JD025740
  • 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
  • Xu Liang, Dennis P. Lettenmaier, Eric F. Wood, Stephen J. Burges et al. A simple hydrologically based model of land surface water and energy fluxes for general circulation models. JOURNAL OF GEOPHYSICAL RESEARCH Atmosphere, 99, 14, 415-14, 428, 1994. https://doi.org/10.1029/94JD00483

Additional documentation

Other references

This DOI is the previous version of

  • Gosling, Simon N.; Burek, Peter; Chang, Jinfeng; Ciais, Philippe; Döll, Petra; Eisner, Stephanie; Fink, Gabriel; Flörke, Martina; Franssen, Wietse; Grillakis, Manolis; Hagemann, Stefan; Hanasaki, Naota; Koutroulis, Aristeidis; Leng, Guoyong; Liu, Xingcai; Masaki, Yoshimitsu; Mathison, Camilla; Mishra, Vimal; Müller Schmied, Hannes; Ostberg, Sebastian; Portmann, Felix; Qi, Wei; Sahu, Reetik-Kumar; Satoh, Yusuke; Schewe, Jacob; Seneviratne, Sonia; Shah, Harsh L.; Stacke, Tobias; Tao, Fulu; Telteu, Camelia; Thiery, Wim; Trautmann, Tim; Tsanis, Ioannis; Wanders, Niko; Zhai, Ren; Büchner, Matthias; Schewe, Jacob; Zhao, Fang (2025): ISIMIP2b Simulation Data from the Global Water Sector. Version 1.1. ISIMIP Repository. (Dataset). https://doi.org/10.48364/ISIMIP.626689.1.

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 > 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 > DRAINAGE
  • 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).

Datasets for this DOI

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