2026-05-14T11:34:44Zhttp://doidb.wdc-terra.org/oaip/oai
oai:doidb.wdc-terra.org:70252021-02-02T12:15:20ZDOIDBDOIDB.PIK
false4DOIDB.PIK 10.5880/PIK.2020.003 Arneth, Almut 6701820813 Karlsruhe Institute of Technology (KIT), Germany Jägermeyr, Jonas 0000-0002-8368-0018 Potsdam-Institute for Climate Impact Research (PIK), Germany; Department of Computer Science, University of Chicago, USA; NASA Goddard Institute for Space Studies, USA Rabin, Sam 0000-0003-4095-1129 Karlsruhe Institute of Technology (KIT), Germany Folberth, Christian 0000-0002-6738-5238 International Institute for Applied Systems Analysis (IIASA), Austria Khabarov, Nikolay 25124493200 International Institute for Applied Systems Analysis (IIASA), Austria Liu, Wenfeng 0000-0002-8699-3677 Swiss Federal Institute of Aquatic Science and Technology (EAWAG), Switzerland Müller, Christoph 0000-0002-9491-3550 Potsdam-Institute for Climate Impact Research (PIK), Germany Seneviratne, Sonia I. 0000-0001-9528-2917 ETH Zurich, Zurich, Switzerland Thiery, Wim 0000-0002-5183-6145 Vrije Universiteit Brussel, Brussels, Belgium ETH Zurich, Zurich, Switzerland Yang, Hong 57189931241 Swiss Federal Institute of Aquatic Science and Technology (EAWAG), Switzerland Büchner, Matthias 0000-0002-1382-7424 Potsdam-Institute for Climate Impact Research (PIK), Germany Volkholz, Jan 8629086900 Potsdam-Institute for Climate Impact Research (PIK), Germany Frieler, Katja 0000-0003-4869-3013 Potsdam-Institute for Climate Impact Research (PIK), Germany ISIMIP2b Simulation Data from Agricultural Sector GFZ Data Services 2019 ISIMIP EARTH SCIENCE > AGRICULTURE > AGRICULTURAL PLANT SCIENCE > CROP/PLANT YIELDS EARTH SCIENCE > AGRICULTURE > AGRICULTURAL PLANT SCIENCE > IRRIGATION EARTH SCIENCE > AGRICULTURE > PLANT COMMODITIES > FIELD CROP PRODUCTS EARTH SCIENCE > AGRICULTURE > SOILS > NITROGEN EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > EVAPOTRANSPIRATION EARTH SCIENCE > CLIMATE INDICATORS > LAND SURFACE/AGRICULTURE INDICATORS > LENGTH OF GROWING SEASON EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL IMPACTS EARTH SCIENCE > LAND SURFACE > SOILS > SOIL MOISTURE/WATER CONTENT EARTH SCIENCE SERVICES > MODELS > CLIMATE CHANGE IMPACT ASSESSMENT MODELS EARTH SCIENCE SERVICES > MODELS > DYNAMIC VEGETATION/ECOSYSTEM MODELS Arneth, Almut 6701820813 Karlsruhe Institute of Technology (KIT), 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 Volkholz, Jan 8629086900 Potsdam-Institute for Climate Impact Research (PIK), Germany ISIMIP Coordination Team Potsdam-Institute for Climate Impact Research (PIK), Germany Frieler, Katja Potsdam-Institute for Climate Impact Research (PIK), Germany Jägermeyr, Jonas Potsdam-Institute for Climate Impact Research (PIK), Germany; Department of Computer Science, University of Chicago, USA; NASA Goddard Institute for Space Studies, USA Rabin, Sam Karlsruhe Institute of Technology (KIT), Germany Arneth, Almut Karlsruhe Institute of Technology (KIT), Germany Folberth, Christian International Institute for Applied Systems Analysis (IIASA), Austria Müller, Christoph Potsdam-Institute for Climate Impact Research (PIK), Germany Liu, Wenfeng Swiss Federal Institute of Aquatic Science and Technology (EAWAG), Switzerland Thiery, Wim Vrije Universiteit Brussel, Brussels, Belgium 2017 2006/2099 2100/2299 1861/2005 1661/1860 Dataset https://www.earthsystemcog.org/projects/cog/tutorials_web https://www.isimip.org/outcomes/publications-overview-page/ https://www.isimip.org/protocol/#isimip2b https://www.isimip.org/impactmodels https://www.isimip.org/gettingstarted/#input-data-bias-correction https://www.isimip.org/outputdata/output-data-changelog/ https://www.isimip.org/outputdata/dois-isimip-data-sets/ http://dx.doi.org/10.5194/gmd-10-4321-2017 http://dx.doi.org/10.5194/esd-9-627-2018 http://dx.doi.org/10.5880/pik.2016.004 Model data are licensed under CC BY 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 advanced 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 impacts across sectors.

ISIMIP2b is the second simulation round of the second phase of ISIMIP. ISIMIP2b considers impacts on different sectors at the global and regional scales: water, fisheries and marine ecosystems, energy supply and demand, forests, biomes, agriculture, agro-economic modeling, terrestrial biodiversity, permafrost, coastal infrastructure, health and lakes.

ISIMIP2b simulations focus on separating the impacts and quantifying the pure climate change effects of historical warming (1861-2005) compared to pre-industrial reference levels (1661-1860); and on quantifying the future (2006-2099) and extended future (2006-2299) impact projections accounting for low (RCP2.6), mid-high (RCP6.0) and high (RCP8.5) greenhouse gas emissions, assuming either constant (year 2005) or dynamic population, land and water use and -management, economic development, bioenergy demand, and other societal factors. The scientific rationale for the scenario design is documented in Frieler et al. (2017).

The ISIMIP2b bias-corrected observational climate input data (Lange, 2018; Frieler et al., 2017) consists of an updated version of the observational dataset EWEMBI at daily temporal and 0.5° spatial resolution, which better represents the CMIP5 GCM ensemble in terms of both spatial model resolution and equilibrium climate sensitivity. The bias correction methods (Lange, 2018; Frieler et al., 2017; Lange, 2016) were applied to CMIP5 output of GDFL-ESM2M, HadGEM2-ES, IPSL-CM5A-LP and MIROC5. Access to the input data for the impact models, and further information on bias correction methods, is provided through a central ISIMIP archive (see https://www.isimip.org/gettingstarted/isimip2b-bias-correction).

This entry refers to the ISIMIP2b simulation data from three agricultural models: GEPIC, LPJmL and PEPIC.
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The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) simulation data is under continuous review and improvement, and updates are thus likely to happen. All changes and caveats are documented under https://www.isimip.org/outputdata/output-data-changelog/ (ISIMIP Changelog) and https://www.isimip.org/outputdata/dois-isimip-data-sets/ (ISIMIP DOI publications).
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The ISIMIP2b agricultural outputs are based on simulations from 3 global agricultural models (see Abstract) according to the ISIMIP2b protocol (https://www.isimip.org/protocol/#isimip2b). The models simulate crop yields and irrigation water withdrawal (assuming unlimited water supply and no conveyance losses), using their own assumptions on planting dates, crop variety parameters, as well as fertilizer use (P, K) other than N fertilizers, which were given as an input. A more detailed description of the models and model-specific amendments of the protocol are available here: https://www.isimip.org/impactmodels/
global, yearly -179.75 179.75 -89.75 89.75 global, yearly -179.75 179.75 -89.75 89.75 global, yearly -179.75 179.75 -89.75 89.75 global, yearly -179.75 179.75 -89.75 89.75