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...

Full description

Bibliographic Details
Main Authors: 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
Other Authors: Jägermeyr, Jonas
Format: Dataset
Language:English
Published: GFZ Data Services 2017
Subjects:
Online Access:https://doi.org/10.5880/PIK.2017.006
id ftgfzpotsdamdata:oai:doidb.wdc-terra.org:6366
record_format openpolar
spelling 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)
institution Open Polar
collection GFZ Data Services (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)
op_collection_id 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