ISIMIP2a Simulation Data from Agricultural Sector
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...
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ftgfzpotsdamdata:oai:doidb.wdc-terra.org:6366 2023-05-15T17:58:20+02:00 ISIMIP2a Simulation Data from Agricultural Sector 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 Büchner, Matthias Jägermeyr, Jonas -180 180 -90 90 global, annual 2017 379 Bytes 2 Files text/plain application/octet-stream https://doi.org/10.5880/PIK.2017.006 eng eng GFZ Data Services url:https://esg.pik-potsdam.de/projects/isimip/ url:https://www.earthsystemcog.org/projects/cog/tutorials_web url:https://www.isimip.org/outcomes/#papers-isimip2a url:https://www.isimip.org/protocol/#isimip2a url:https://www.isimip.org/impactmodels url:https://www.isimip.org/gettingstarted/#input-data-bias-correction http://dx.doi.org/10.5880/PIK.2017.006 doi:10.5880/PIK.2017.006 Model data are licensed under CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ EXCEPTIONS: data from model LPJ-GUESS is licensed under CC BY-NC 4.0 http://creativecommons.org/licenses/by-nc/4.0/ CC-BY CC-BY-NC Dataset 2017 ftgfzpotsdamdata https://doi.org/10.5880/PIK.2017.006 2022-03-10T11:14:35Z 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/. Dataset permafrost GFZ Data Services (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) |
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Open Polar |
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GFZ Data Services (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) |
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ftgfzpotsdamdata |
language |
English |
description |
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/. |
author2 |
Büchner, Matthias Jägermeyr, Jonas |
format |
Dataset |
author |
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 |
spellingShingle |
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 ISIMIP2a Simulation Data from Agricultural Sector |
author_facet |
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 |
author_sort |
Arneth, Almut |
title |
ISIMIP2a Simulation Data from Agricultural Sector |
title_short |
ISIMIP2a Simulation Data from Agricultural Sector |
title_full |
ISIMIP2a Simulation Data from Agricultural Sector |
title_fullStr |
ISIMIP2a Simulation Data from Agricultural Sector |
title_full_unstemmed |
ISIMIP2a Simulation Data from Agricultural Sector |
title_sort |
isimip2a simulation data from agricultural sector |
publisher |
GFZ Data Services |
publishDate |
2017 |
url |
https://doi.org/10.5880/PIK.2017.006 |
op_coverage |
-180 180 -90 90 global, annual |
genre |
permafrost |
genre_facet |
permafrost |
op_relation |
url:https://esg.pik-potsdam.de/projects/isimip/ url:https://www.earthsystemcog.org/projects/cog/tutorials_web url:https://www.isimip.org/outcomes/#papers-isimip2a url:https://www.isimip.org/protocol/#isimip2a url:https://www.isimip.org/impactmodels url:https://www.isimip.org/gettingstarted/#input-data-bias-correction http://dx.doi.org/10.5880/PIK.2017.006 doi:10.5880/PIK.2017.006 |
op_rights |
Model data are licensed under CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ EXCEPTIONS: data from model LPJ-GUESS is licensed under CC BY-NC 4.0 http://creativecommons.org/licenses/by-nc/4.0/ |
op_rightsnorm |
CC-BY CC-BY-NC |
op_doi |
https://doi.org/10.5880/PIK.2017.006 |
_version_ |
1766166909989945344 |