ISIMIP2a Simulation Data from Agricultural Sector

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...

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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
Format: Dataset
Language:English
Published: GFZ Data Services 2017
Subjects:
Online Access:https://dx.doi.org/10.5880/pik.2017.006
http://dataservices.gfz-potsdam.de/pik/showshort.php?id=escidoc:2959889
id ftdatacite:10.5880/pik.2017.006
record_format openpolar
spelling ftdatacite:10.5880/pik.2017.006 2023-05-15T17:58:21+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 2017 text/plain application/octet-stream https://dx.doi.org/10.5880/pik.2017.006 http://dataservices.gfz-potsdam.de/pik/showshort.php?id=escidoc:2959889 en eng GFZ Data Services 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 EXCEPTIONS: data from model LPJ-GUESS is licensed under CC BY-NC 4.0 Model data are licensed under CC BY 4.0 http://creativecommons.org/licenses/by/4.0 http://creativecommons.org/licenses/by-nc/4.0 CC-BY dataset Dataset 2017 ftdatacite https://doi.org/10.5880/pik.2017.006 2021-11-05T12:55:41Z 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. : 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 DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
description 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. : 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/.
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://dx.doi.org/10.5880/pik.2017.006
http://dataservices.gfz-potsdam.de/pik/showshort.php?id=escidoc:2959889
genre permafrost
genre_facet permafrost
op_relation 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
op_rights EXCEPTIONS: data from model LPJ-GUESS is licensed under CC BY-NC 4.0
Model data are licensed under CC BY 4.0
http://creativecommons.org/licenses/by/4.0
http://creativecommons.org/licenses/by-nc/4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.5880/pik.2017.006
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