ISIMIP2b 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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Main Authors: 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
Other Authors: ISIMIP Coordination Team
Format: Dataset
Language:unknown
Published: GFZ Data Services 2019
Subjects:
Online Access:https://doi.org/10.5880/PIK.2020.003
id ftgfzpotsdamdata:oai:doidb.wdc-terra.org:7025
record_format openpolar
institution Open Polar
collection GFZ Data Services (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)
op_collection_id ftgfzpotsdamdata
language 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 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 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). --- Methods 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/
author2 Arneth, Almut
Büchner, Matthias
Volkholz, Jan
ISIMIP Coordination Team
Frieler, Katja
Jägermeyr, Jonas
Rabin, Sam
Folberth, Christian
Müller, Christoph
Liu, Wenfeng
Thiery, Wim
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://doi.org/10.5880/PIK.2020.003
op_coverage 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
genre permafrost
genre_facet permafrost
op_relation url:https://www.earthsystemcog.org/projects/cog/tutorials_web
url:https://www.isimip.org/outcomes/publications-overview-page/
url:https://www.isimip.org/protocol/#isimip2b
url:https://www.isimip.org/impactmodels
url:https://www.isimip.org/gettingstarted/#input-data-bias-correction
url:https://www.isimip.org/outputdata/output-data-changelog/
url:https://www.isimip.org/outputdata/dois-isimip-data-sets/
doi:http://dx.doi.org/10.5194/gmd-10-4321-2017
doi:http://dx.doi.org/10.5194/esd-9-627-2018
doi:http://dx.doi.org/10.5880/pik.2016.004
http://dx.doi.org/10.5880/PIK.2020.003
doi:10.5880/PIK.2020.003
op_rights Model data are licensed under CC BY 4.0
http://creativecommons.org/licenses/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
_version_ 1766167034515685376
spelling ftgfzpotsdamdata:oai:doidb.wdc-terra.org:7025 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 Arneth, Almut Büchner, Matthias Volkholz, Jan ISIMIP Coordination Team Frieler, Katja Jägermeyr, Jonas Rabin, Sam Folberth, Christian Müller, Christoph Liu, Wenfeng Thiery, Wim 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 2019 https://doi.org/10.5880/PIK.2020.003 unknown GFZ Data Services url:https://www.earthsystemcog.org/projects/cog/tutorials_web url:https://www.isimip.org/outcomes/publications-overview-page/ url:https://www.isimip.org/protocol/#isimip2b url:https://www.isimip.org/impactmodels url:https://www.isimip.org/gettingstarted/#input-data-bias-correction url:https://www.isimip.org/outputdata/output-data-changelog/ url:https://www.isimip.org/outputdata/dois-isimip-data-sets/ doi:http://dx.doi.org/10.5194/gmd-10-4321-2017 doi:http://dx.doi.org/10.5194/esd-9-627-2018 doi:http://dx.doi.org/10.5880/pik.2016.004 http://dx.doi.org/10.5880/PIK.2020.003 doi:10.5880/PIK.2020.003 Model data are licensed under CC BY 4.0 http://creativecommons.org/licenses/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 2019 ftgfzpotsdamdata 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 2022-03-10T11:14:46Z 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 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). --- Methods 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 GFZ Data Services (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)