ISIMIP2b 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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GFZ Data Services
2019
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Online Access: | https://dx.doi.org/10.5880/pik.2020.003 https://dataservices.gfz-potsdam.de/pik/showshort.php?id=escidoc:5046891 |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
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unknown |
topic |
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 |
spellingShingle |
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 Jägermeyr, Jonas Rabin, Sam Folberth, Christian Khabarov, Nikolay Liu, Wenfeng Müller, Christoph Seneviratne, Sonia I. Thiery, Wim Yang, Hong Büchner, Matthias Volkholz, Jan Frieler, Katja ISIMIP2b Simulation Data from Agricultural Sector |
topic_facet |
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 |
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 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. ---------------------------------------------------------------------------- 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). ---------------------------------------------------------------------------- : 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/ |
format |
Dataset |
author |
Arneth, Almut Jägermeyr, Jonas Rabin, Sam Folberth, Christian Khabarov, Nikolay Liu, Wenfeng Müller, Christoph Seneviratne, Sonia I. Thiery, Wim Yang, Hong Büchner, Matthias Volkholz, Jan Frieler, Katja |
author_facet |
Arneth, Almut Jägermeyr, Jonas Rabin, Sam Folberth, Christian Khabarov, Nikolay Liu, Wenfeng Müller, Christoph Seneviratne, Sonia I. Thiery, Wim Yang, Hong Büchner, Matthias Volkholz, Jan Frieler, Katja |
author_sort |
Arneth, Almut |
title |
ISIMIP2b Simulation Data from Agricultural Sector |
title_short |
ISIMIP2b Simulation Data from Agricultural Sector |
title_full |
ISIMIP2b Simulation Data from Agricultural Sector |
title_fullStr |
ISIMIP2b Simulation Data from Agricultural Sector |
title_full_unstemmed |
ISIMIP2b Simulation Data from Agricultural Sector |
title_sort |
isimip2b simulation data from agricultural sector |
publisher |
GFZ Data Services |
publishDate |
2019 |
url |
https://dx.doi.org/10.5880/pik.2020.003 https://dataservices.gfz-potsdam.de/pik/showshort.php?id=escidoc:5046891 |
genre |
permafrost |
genre_facet |
permafrost |
op_relation |
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/ 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/ https://dx.doi.org/10.5194/gmd-10-4321-2017 https://dx.doi.org/10.5194/esd-9-627-2018 https://dx.doi.org/10.5880/pik.2016.004 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5880/pik.2020.003 https://doi.org/10.5194/gmd-10-4321-2017 https://doi.org/10.5194/esd-9-627-2018 https://doi.org/10.5880/pik.2016.004 |
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1766167037432823808 |
spelling |
ftdatacite:10.5880/pik.2020.003 2023-05-15T17:58:25+02:00 ISIMIP2b Simulation Data from Agricultural Sector Arneth, Almut Jägermeyr, Jonas Rabin, Sam Folberth, Christian Khabarov, Nikolay Liu, Wenfeng Müller, Christoph Seneviratne, Sonia I. Thiery, Wim Yang, Hong Büchner, Matthias Volkholz, Jan Frieler, Katja 2019 https://dx.doi.org/10.5880/pik.2020.003 https://dataservices.gfz-potsdam.de/pik/showshort.php?id=escidoc:5046891 unknown GFZ Data Services 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/ 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/ https://dx.doi.org/10.5194/gmd-10-4321-2017 https://dx.doi.org/10.5194/esd-9-627-2018 https://dx.doi.org/10.5880/pik.2016.004 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY 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 dataset Dataset 2019 ftdatacite https://doi.org/10.5880/pik.2020.003 https://doi.org/10.5194/gmd-10-4321-2017 https://doi.org/10.5194/esd-9-627-2018 https://doi.org/10.5880/pik.2016.004 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 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. ---------------------------------------------------------------------------- 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). ---------------------------------------------------------------------------- : 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/ Dataset permafrost DataCite Metadata Store (German National Library of Science and Technology) |