10.5880/PIK.2017.010 Gosling, Simon 0000-0001-5973-6862 School of Geography, University of Nottingham, UK Müller Schmied, Hannes 0000-0001-5330-9923 Institute of Physical Geography (IPG), Goethe-University Frankfurt, Germany Betts, Richard Richard Betts 0000-0002-4929-0307 University of Exeter, UK Chang, Jinfeng 56582989700 Laboratoire des Sciences du Climat et de l'Environnement (LSCE), France Ciais, Philippe 0000-0001-8560-4943 Institute Pierre Simon Laplace (IPSL), France Dankers, Rutger 0000-0003-2375-5468 Met Office, UK Döll, Petra 0000-0003-2238-4546 Universität Frankfurt, Germany Eisner, Stephanie 37046987400 Center for Environmental Systems Research (CESR), University of Kassel, Germany Flörke, Martina 0000-0003-2943-5289 Center of Environmental Systems Research (CESR), University of Kassel, Germany Gerten, Dieter B-2975-2013 Potsdam-Institute for Climate Impact Research (PIK), Germany Grillakis, Manolis 0000-0002-4228-1803 Technical University of Crete, Greece Hanasaki, Naota 0000-0002-5092-7563 National Institute for Environmental Studies, Japan Hagemann, Stefan 0000-0001-5444-2945 Max-Planck-Institute for Meteorology, Germany Huang, Maoyi 0000-0001-9154-9485 Pacific Northwest National Laboratory (PNNL), USA Huang, Zhongwei K-5484-2013 Chinese Academy of Sciences, China Jerez, Sonia 0000-0002-2153-1658 University of Murcia, Spain Kim, Hyungjun I-5099-2014 Institute of Industrial Science, University of Tokyo, Japan Koutroulis, Aristeidis 0000-0002-2999-7575 Technical University of Crete, Greece Leng, Guoyong 55073323400 Pacific Northwest National Laboratory (PNNL), USA Liu, Xingcai 0000-0001-5726-7353 Chinese Academy of Sciences, China Masaki, Yoshimitsu 55804883700 Hirosaki University, Japan Montavez, Pedro 0000-0001-6117-3528 University of Murcia, Spain Morfopoulos, Catherine L-2484-2014 University of Exeter, UK Oki, Taikan 0000-0003-4067-4678 Institute of Industrial Science, University of Tokyo, Japan Papadimitriou, Lamprini 55992696200 Technical University of Crete, Greece Pokhrel, Yadu 46461963400 Michigan State University, USA Portmann, Felix T. 24438491200 Universität Frankfurt, Germany Orth, Rene 55346607800 Institute for Atmospheric and Climate Science, ETH Zürich Ostberg, Sebastian 6507766991 Potsdam-Institute for Climate Impact Research (PIK), Germany Satoh, Yusuke 56061688700 International Institute for Applied Systems Analysis, Austria Seneviratne, Sonia 0000-0001-9528-2917 ETH Zurich, Switzerland Sommer, Philipp 0000-0001-6171-7716 University of Lausanne, Switzerland Stacke, Tobias 0000-0003-4637-5337 Max Planck Institute for Meteorology, Germany Tang, Qiuhong 14523673200 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China Tsanis, Ioannis 56840353800 Technical University of Crete, Greece Wada, Yoshihide 57195195518 International Institute for Applied Systems Analysis, Austria Zhou, Tian 7402989545 Pacific Northwest National Laboratory (PNNL), USA Büchner, Matthias 0000-0002-1382-7424 Potsdam-Institute for Climate Impact Research (PIK), Germany Schewe, Jacob 0000-0001-9455-4159 Potsdam-Institute for Climate Impact Research (PIK), Germany Zhao, Fang 0000-0002-4819-3724 Potsdam-Institute for Climate Impact Research (PIK), Germany GFZ Data Services 2017 Gosling, Simon 0000-0001-5973-6862 School of Geography, University of Nottingham, UK Gosling, Simon 0000-0001-5973-6862 School of Geography, University of Nottingham, UK Müller Schmied, Hannes 0000-0001-5330-9923 Institute of Physical Geography (IPG), Goethe-University Frankfurt, Germany Müller Schmied, Hannes 0000-0001-5330-9923 Institute of Physical Geography (IPG), Goethe-University Frankfurt, Germany Büchner, Matthias 0000-0002-1382-7424 Potsdam-Institute for Climate Impact Research (PIK), Germany Büchner, Matthias 0000-0002-1382-7424 Potsdam-Institute for Climate Impact Research (PIK), Germany Büchner, Matthias 0000-0002-1382-7424 Potsdam-Institute for Climate Impact Research (PIK), Germany Schewe, Jacob 0000-0001-9455-4159 Potsdam-Institute for Climate Impact Research (PIK), Germany Schewe, Jacob 0000-0001-9455-4159 Potsdam-Institute for Climate Impact Research (PIK), Germany Zhao, Fang 0000-0002-4819-3724 Potsdam-Institute for Climate Impact Research (PIK), Germany Zhao, Fang 0000-0002-4819-3724 Potsdam-Institute for Climate Impact Research (PIK), Germany ISIMIP Coordination Team Potsdam-Institute for Climate Impact Research (PIK), Germany Zhao, Fang Potsdam-Institute for Climate Impact Research (PIK), Germany Schewe, Jacob Potsdam-Institute for Climate Impact Research (PIK), Germany Gosling, Simon School of Geography, University of Nottingham, UK Müller Schmied, Hannes Institute of Physical Geography (IPG), Goethe-University Frankfurt, Germany Huang, Maoyi Pacific Northwest National Laboratory (PNNL), USA Tang, Qiuhong Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China Hanasaki, Naota National Institute for Environmental Studies, Japan Koutroulis, Aristeidis Technical University of Crete, Greece Betts, Richard Richard Betts 0000-0002-4929-0307 University of Exeter, UK Gerten, Dieter Potsdam-Institute for Climate Impact Research (PIK), Germany Satoh, Yusuke International Institute for Applied Systems Analysis, Austria Stacke, Tobias Max Planck Institute for Meteorology (MPI-M), Germany Chang, Jinfeng Laboratoire des Sciences du Climat et de l'Environnement (LSCE), France Wada, Yoshihide Utrecht University, The Netherlands Seneviratne, Sonia ETH Zurich, Switzerland Zhou, Tian Pacific Northwest National Laboratory (PNNL), USA Müller Schmied, Hannes Institute of Physical Geography (IPG), Goethe-University Frankfurt, Germany 2017 1971/2012 Dataset https://esg.pik-potsdam.de/projects/isimip/ https://www.earthsystemcog.org/projects/cog/tutorials_web https://www.isimip.org/outcomes/#papers-isimip2a https://www.isimip.org/protocol/#isimip2a https://www.isimip.org/impactmodels https://www.isimip.org/gettingstarted/#input-data-bias-correction 10.5880/PIK.2019.003 Model data are licensed under CC BY 4.0 EXCEPTIONS: data from model WaterGAP2 and MATSIRO are licensed under CC BY-NC 4.0 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.
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/.
global, annual, monthly, daily -180 180 -90 90