Released
Dataset

ISIMIP2a Simulation Data from Agricultural Sector

Cite as:

Arneth, Almut; Balkovic, Juraj; Ciais, Philippe; de Wit, Allard; Deryng, Delphine; Elliott, Joshua; Folberth, Christian; Glotter, Michael; Iizumi, Toshichika; Izaurralde, Roberto C.; Jones, Andrew D.; Khabarov, Nikolay; Lawrence, Peter; Liu, Wenfeng; Mitter, Hermine; Müller, Christoph; Olin, Stefan; Pugh, Thomas A. M.; Reddy, Ashwan D.; Sakurai, Gen; Schmid, Erwin; Wang, Xuhui; Wu, Xiuchen; Yang, Hong; Büchner, Matthias (2017): ISIMIP2a Simulation Data from Agricultural Sector. GFZ Data Services. https://doi.org/10.5880/PIK.2017.006

Status

I   N       R   E   V   I   E   W : Arneth, Almut; Balkovic, Juraj; Ciais, Philippe; de Wit, Allard; Deryng, Delphine; Elliott, Joshua; Folberth, Christian; Glotter, Michael; Iizumi, Toshichika; Izaurralde, Roberto C.; Jones, Andrew D.; Khabarov, Nikolay; Lawrence, Peter; Liu, Wenfeng; Mitter, Hermine; Müller, Christoph; Olin, Stefan; Pugh, Thomas A. M.; Reddy, Ashwan D.; Sakurai, Gen; Schmid, Erwin; Wang, Xuhui; Wu, Xiuchen; Yang, Hong; Büchner, Matthias (2017): ISIMIP2a Simulation Data from Agricultural Sector. GFZ Data Services. https://doi.org/10.5880/PIK.2017.006

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) of climate impacts on agriculture, fisheries, permafrost, biomes, regional and global water and forests. This will 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 Agricultural Sector models: CGMS-WOFOST, CLM-Crop, EPIC-Boku, EPIC-IIASA, EPIC-TAMU, GEPIC, LPJ-GUESS, LPJmL, ORCHIDEE-CROP, pAPSIM, pDSSAT, PEGASUS, PEPIC, PRYSBI2.

Methods

The ISIMIP2a agriculture outputs are based on simulations from 14 agricultural sector models (see listing) according to the ISIMIP2a protocol (https://www.isimip.org/protocol/#isimip2a). The models simulate cop yields and irrigation water withdrawal (assuming unlimited water supply), based on planting dates, crop variety parameters, approximate maturity dates (to allow for spatially-explicit variety parameterization), as well as fertilizer use (N, P, K). 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;
  • Jägermeyr, Jonas (ISIMIP Coordination Team) ; Potsdam-Institute for Climate Impact Research (PIK), Germany;
  • Elliott, Joshua (Sector Coordinator) ; University of Chicago, Computation Institute, USA;
  • Schmid, Erwin (EPIC-Boku Contact) ; University of Natural Resources and Life Sciences, Vienna, Austria;
  • Olin, Stefan (LPJ-GUESS Contact) ; Lund University, Department for Physical Geography and Ecosystem Science, Sweden;
  • Pugh, Thomas A. M. (LPJ-GUESS Contact) ; Karlsruhe Institute of Technology (IMK-IFU), Germany / School of Geography, Earth & Environmental Science and Birmingham Institute of Forest Research, University of Birmingham, UK;
  • Müller, Chrisqtoph (LPJmL Contact) ; Potsdam-Institute for Climate Impact Research (PIK), Germany;
  • Ciais, Philippe (ORCHIDEE-CROP Contact) ; Institute Pierre Simon Laplace (IPSL), France;
  • Wang, Xuhui (ORCHIDEE-CROP Contact) ; Peking University, China;
  • Folberth, Christian (GEPIC Contact) ; International Institute for Applied Systems Analysis (IIASA), Austria;
  • Izaurralde, Roberto C. (EPIC-TAMU Contact) ; Department of Geographical Sciences, University of Maryland, USA;
  • Reddy, Ashwan D. (EPIC-TAMU Contact) ; George Mason University, USA;
  • Elliott, Joshua (pAPSIM Contact) ; University of Chicago, Computation Institute, USA;
  • Elliott, Joshua (pDSSAT Contact) ; University of Chicago, Computation Institute, USA;
  • Deryng, Delphine (PEGASUS Contact) ; The Earth Institute at Columbia University, USA;
  • Liu, Wenfeng (PEPIC Contact) ; Swiss Federal Institute of Aquatic Science and Technology (EAWAG), Switzerland;
  • Yang, Hong (PEPIC Contact) ; Swiss Federal Institute of Aquatic Science and Technology (EAWAG), Switzerland;
  • Sakurai, Gen (PRYSBI2 Contact) ; National Agriculture and Food Research Organization (NARO), Institute for Agro-Environmental Sciences (NIAES), Japan;
  • de Wit, Allard (CGMS-WOFOST Contact) ; Wageningen University, Netherlands;
  • Lawrence, Peter (CLM-Crop Contact) ; National Center for Atmospheric Research, USA;
  • Balkovic, Juraj (EPIC-IIASA Contact) ; International Institute for Applied Systems Analysis (IIASA), Austria;
  • Khabarov, Nikolay (EPIC-IIASA Contact) ; International Institute for Applied Systems Analysis (IIASA), Austria;

Contributors

Jägermeyr, Jonas; ISIMIP Coordination Team; Jägermeyr, Jonas; Müller, Chrisqtoph

Keywords

GCMD Science Keywords

Location

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    Files

    License: Model data are licensed under CC BY 4.0EXCEPTIONS: data from model LPJ-GUESS is licensed under CC BY-NC 4.0