Released
Dataset

ISIMIP2a Simulation Data from Water (global) Sector

Cite as:

Gosling, Simon; Müller Schmied, Hannes; Betts, Richard; Chang, Jinfeng; Ciais, Philippe; Dankers, Rutger; Döll, Petra; Eisner, Stephanie; Flörke, Martina; Gerten, Dieter; Grillakis, Manolis; Hanasaki, Naota; Hagemann, Stefan; Huang, Maoyi; Huang, Zhongwei; Jerez, Sonia; Kim, Hyungjun; Koutroulis, Aristeidis; Leng, Guoyong; Liu, Xingcai; Masaki, Yoshimitsu; Montavez, Pedro; Morfopoulos, Catherine; Oki, Taikan; Papadimitriou, Lamprini; Pokhrel, Yadu; Portmann, Felix T.; Orth, Rene; Ostberg, Sebastian; Satoh, Yusuke; Seneviratne, Sonia; Sommer, Philipp; Stacke, Tobias; Tang, Qiuhong; Tsanis, Ioannis; Wada, Yoshihide; Zhou, Tian; Büchner, Matthias; Schewe, Jacob; Zhao, Fang (2017): ISIMIP2a Simulation Data from Water (global) Sector. GFZ Data Services. https://doi.org/10.5880/PIK.2017.010

Status

I   N       R   E   V   I   E   W : Gosling, Simon; Müller Schmied, Hannes; Betts, Richard; Chang, Jinfeng; Ciais, Philippe; Dankers, Rutger; Döll, Petra; Eisner, Stephanie; Flörke, Martina; Gerten, Dieter; Grillakis, Manolis; Hanasaki, Naota; Hagemann, Stefan; Huang, Maoyi; Huang, Zhongwei; Jerez, Sonia; Kim, Hyungjun; Koutroulis, Aristeidis; Leng, Guoyong; Liu, Xingcai; Masaki, Yoshimitsu; Montavez, Pedro; Morfopoulos, Catherine; Oki, Taikan; Papadimitriou, Lamprini; Pokhrel, Yadu; Portmann, Felix T.; Orth, Rene; Ostberg, Sebastian; Satoh, Yusuke; Seneviratne, Sonia; Sommer, Philipp; Stacke, Tobias; Tang, Qiuhong; Tsanis, Ioannis; Wada, Yoshihide; Zhou, Tian; Büchner, Matthias; Schewe, Jacob; Zhao, Fang (2017): ISIMIP2a Simulation Data from Water (global) Sector. GFZ Data Services. https://doi.org/10.5880/PIK.2017.010

There is a new version of this dataset:

  • https://dx.doi.org/10.5880/PIK.2019.003
  • Abstract

    The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a set of consistent, multi-sector, multi-scale climate-impact simulations, based on scientifically and politically-relevant historical and future scenarios. This framework serves as a basis for robust projections of climate impacts, as well as facilitating model evaluation and improvement, allowing for improved estimates of the biophysical and socio-economic impacts of climate change at different levels of global warming. It also provides a unique opportunity to consider interactions between climate change impacts across sectors.


    ISIMIP2a is the second ISIMIP simulation round, focusing on historical simulations (1971-2010 approx.) of climate impacts on agriculture, fisheries, permafrost, biomes, regional and global water and forests. This may serve as a basis for model evaluation and improvement, allowing for improved estimates of the biophysical and socio-economic impacts of climate change at different levels of global warming.


    The focus topic for ISIMIP2a is model evaluation and validation, in particular with respect to the representation of impacts of extreme weather events and climate variability. During this phase, four common global observational climate data sets were provided across all impact models and sectors. In addition, appropriate observational data sets of impacts for each sector were collected, against which the models can be benchmarked. Access to the input data for the impact models is provided through a central ISIMIP archive (see https://www.isimip.org/gettingstarted/#input-data-bias-correction).


    This entry refers to the ISIMIP2a simulation data from global hydrology models: CLM4, DBH, H08, JULES_W1, JULES_B1, LPJmL, MATSIRO, MPI-HM, ORCHIDEE, PCR-GLOBWB, SWBM, VIC, WaterGAP2.

    Methods

    The ISIMIP2a water (global) outputs are based on simulations from 13 global hydrology models (see listing) according to the ISIMIP2a protocol (https://www.isimip.org/protocol/#isimip2a). The models simulate hydrological processes and dynamics (part of the models also considering human water abstractions and reservoir regulation) based on climate and physio-geographical information. A more detailed description of the models and model-specific amendments of the protocol are available here: https://www.isimip.org/impactmodels/.

    Contact

    • ISIMIP Coordination Team; Potsdam-Institute for Climate Impact Research (PIK), Germany;
    • Zhao, Fang (ISIMIP Coordination Team) ; Potsdam-Institute for Climate Impact Research (PIK), Germany;
    • Schewe, Jacob (ISIMIP Coordination Team) ; Potsdam-Institute for Climate Impact Research (PIK), Germany;
    • Gosling, Simon (Sector Coordinator) ; School of Geography, University of Nottingham, UK;
    • Müller Schmied, Hannes (Sector Coordinator) ; Institute of Physical Geography (IPG), Goethe-University Frankfurt, Germany;
    • Huang, Maoyi (CLM4 Contact) ; Pacific Northwest National Laboratory (PNNL), USA;
    • Tang, Qiuhong (DBH Contact) ; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China;
    • Hanasaki, Naota (H08 Contact) ; National Institute for Environmental Studies, Japan;
    • Koutroulis, Aristeidis (JULES-W1 Contact) ; Technical University of Crete, Greece;
    • Betts, Richard (JULES-B1 Contact) ; University of Exeter, UK;
    • Gerten, Dieter (LPJmL Contact) ; Potsdam-Institute for Climate Impact Research (PIK), Germany;
    • Satoh, Yusuke (MATSIRO Contact) ; International Institute for Applied Systems Analysis, Austria;
    • Stacke, Tobias (MPI-HM Contact) ; Max Planck Institute for Meteorology (MPI-M), Germany;
    • Chang, Jinfeng (ORCHIDEE Contact) ; Laboratoire des Sciences du Climat et de l'Environnement (LSCE), France;
    • Wada, Yoshihide (PCR-GLOBWB Contact) ; Utrecht University, The Netherlands;
    • Seneviratne, Sonia (SWBM Contact) ; ETH Zurich, Switzerland;
    • Zhou, Tian (VIC Contact) ; Pacific Northwest National Laboratory (PNNL), USA;
    • Müller Schmied, Hannes (WaterGAP2 Contact) ; Institute of Physical Geography (IPG), Goethe-University Frankfurt, Germany;

    Contributors

    ISIMIP Coordination Team

    Keywords

    GCMD Science Keywords

    Location

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          License: Model data are licensed under CC BY 4.0EXCEPTIONS: data from model WaterGAP2 and MATSIRO are licensed under CC BY-NC 4.0