ISIMIP2b Simulation Data from Water (global) 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...
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Format: | Dataset |
Language: | unknown |
Published: |
GFZ Data Services
2020
|
Subjects: | |
Online Access: | https://dx.doi.org/10.5880/pik.2020.004 https://dataservices.gfz-potsdam.de/pik/showshort.php?id=escidoc:5046893 |
id |
ftdatacite:10.5880/pik.2020.004 |
---|---|
record_format |
openpolar |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
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 thirteen global hydrology models: CLM4.5, CLM5.0, CWatM, DBH, H08, JULES-W1 (formerly JULES_TUC), LPJmL, MATSIRO, MPI-HM, ORCHIDEE, ORCHIDEE-DGVM, PCR-GLOBWB, WaterGAP2. ---------------------------------------------------------------------------- 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 water (global) outputs are based on simulations from 13 global hydrology models (see listing) according to the ISIMIP2b protocol (https://www.isimip.org/protocol/#isimip2b). The models simulate hydrological processes and dynamics (some of the models also consider human water abstractions and reservoir regulation) based on climate and physio-geographical information. 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 |
Gosling, Simon Newland Müller Schmied, Hannes Burek, Peter Chang, Jinfeng Ciais, Philippe Döll, Petra Eisner, Stephanie Flörke, Martina Gerten, Dieter Grillakis, Manolis Hanasaki, Naota Koutroulis, Aristeidis Leng, Guoyong Liu, Xingcai Oki, Taikan Ostberg, Sebastian Pokhrel, Yadu Satoh, Yusuke Schaphoff, Sibyll Seneviratne, Sonia I. Stacke, Tobias Tang, Qiuhong Thiery, Wim Wada, Yoshihide Büchner, Matthias Vega, Iliusi Volkholz, Jan Schewe, Jacob Zhao, Fang |
spellingShingle |
Gosling, Simon Newland Müller Schmied, Hannes Burek, Peter Chang, Jinfeng Ciais, Philippe Döll, Petra Eisner, Stephanie Flörke, Martina Gerten, Dieter Grillakis, Manolis Hanasaki, Naota Koutroulis, Aristeidis Leng, Guoyong Liu, Xingcai Oki, Taikan Ostberg, Sebastian Pokhrel, Yadu Satoh, Yusuke Schaphoff, Sibyll Seneviratne, Sonia I. Stacke, Tobias Tang, Qiuhong Thiery, Wim Wada, Yoshihide Büchner, Matthias Vega, Iliusi Volkholz, Jan Schewe, Jacob Zhao, Fang ISIMIP2b Simulation Data from Water (global) Sector |
author_facet |
Gosling, Simon Newland Müller Schmied, Hannes Burek, Peter Chang, Jinfeng Ciais, Philippe Döll, Petra Eisner, Stephanie Flörke, Martina Gerten, Dieter Grillakis, Manolis Hanasaki, Naota Koutroulis, Aristeidis Leng, Guoyong Liu, Xingcai Oki, Taikan Ostberg, Sebastian Pokhrel, Yadu Satoh, Yusuke Schaphoff, Sibyll Seneviratne, Sonia I. Stacke, Tobias Tang, Qiuhong Thiery, Wim Wada, Yoshihide Büchner, Matthias Vega, Iliusi Volkholz, Jan Schewe, Jacob Zhao, Fang |
author_sort |
Gosling, Simon Newland |
title |
ISIMIP2b Simulation Data from Water (global) Sector |
title_short |
ISIMIP2b Simulation Data from Water (global) Sector |
title_full |
ISIMIP2b Simulation Data from Water (global) Sector |
title_fullStr |
ISIMIP2b Simulation Data from Water (global) Sector |
title_full_unstemmed |
ISIMIP2b Simulation Data from Water (global) Sector |
title_sort |
isimip2b simulation data from water (global) sector |
publisher |
GFZ Data Services |
publishDate |
2020 |
url |
https://dx.doi.org/10.5880/pik.2020.004 https://dataservices.gfz-potsdam.de/pik/showshort.php?id=escidoc:5046893 |
long_lat |
ENVELOPE(140.917,140.917,-66.742,-66.742) |
geographic |
Jules |
geographic_facet |
Jules |
genre |
permafrost |
genre_facet |
permafrost |
op_relation |
https://esg.pik-potsdam.de/search/isimip/?project=ISIMIP2b&product=output§or=Water Global 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://esg.pik-potsdam.de/search/isimip/?project=ISIMIP2b&product=output§or=Water Global 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 Share Alike 4.0 International Creative Commons Attribution Non Commercial 4.0 International Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 https://creativecommons.org/licenses/by-nc/4.0/legalcode cc-by-nc-4.0 https://creativecommons.org/licenses/by-sa/4.0/legalcode cc-by-sa-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5880/pik.2020.004 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_ |
1766167020493078528 |
spelling |
ftdatacite:10.5880/pik.2020.004 2023-05-15T17:58:24+02:00 ISIMIP2b Simulation Data from Water (global) Sector Gosling, Simon Newland Müller Schmied, Hannes Burek, Peter Chang, Jinfeng Ciais, Philippe Döll, Petra Eisner, Stephanie Flörke, Martina Gerten, Dieter Grillakis, Manolis Hanasaki, Naota Koutroulis, Aristeidis Leng, Guoyong Liu, Xingcai Oki, Taikan Ostberg, Sebastian Pokhrel, Yadu Satoh, Yusuke Schaphoff, Sibyll Seneviratne, Sonia I. Stacke, Tobias Tang, Qiuhong Thiery, Wim Wada, Yoshihide Büchner, Matthias Vega, Iliusi Volkholz, Jan Schewe, Jacob Zhao, Fang 2020 https://dx.doi.org/10.5880/pik.2020.004 https://dataservices.gfz-potsdam.de/pik/showshort.php?id=escidoc:5046893 unknown GFZ Data Services https://esg.pik-potsdam.de/search/isimip/?project=ISIMIP2b&product=output§or=Water Global 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://esg.pik-potsdam.de/search/isimip/?project=ISIMIP2b&product=output§or=Water Global 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 Share Alike 4.0 International Creative Commons Attribution Non Commercial 4.0 International Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 https://creativecommons.org/licenses/by-nc/4.0/legalcode cc-by-nc-4.0 https://creativecommons.org/licenses/by-sa/4.0/legalcode cc-by-sa-4.0 CC-BY dataset Dataset 2020 ftdatacite https://doi.org/10.5880/pik.2020.004 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 thirteen global hydrology models: CLM4.5, CLM5.0, CWatM, DBH, H08, JULES-W1 (formerly JULES_TUC), LPJmL, MATSIRO, MPI-HM, ORCHIDEE, ORCHIDEE-DGVM, PCR-GLOBWB, WaterGAP2. ---------------------------------------------------------------------------- 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 water (global) outputs are based on simulations from 13 global hydrology models (see listing) according to the ISIMIP2b protocol (https://www.isimip.org/protocol/#isimip2b). The models simulate hydrological processes and dynamics (some of the models also consider human water abstractions and reservoir regulation) based on climate and physio-geographical information. 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) Jules ENVELOPE(140.917,140.917,-66.742,-66.742) |