ISIMIP2a Simulation Data from Fisheries & Marine Ecosystems (Fish-MIP; regional) 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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Online Access: | https://dx.doi.org/10.5880/pik.2018.004 http://dataservices.gfz-potsdam.de/pik/showshort.php?id=escidoc:2956912 |
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ftdatacite:10.5880/pik.2018.004 2023-05-15T17:58:21+02:00 ISIMIP2a Simulation Data from Fisheries & Marine Ecosystems (Fish-MIP; regional) Sector Eddy, Tyler D. Bulman, Cathy M. Cheung, William W.L. Coll, Marta Fulton, Elizabeth A. Galbraith, Eric D. Lotze, Heike K. Mackinson, Steve Niiranen, Susa Oliveros-Ramos, Ricardo Piroddi, Chiara Steenbeek, Jeroen Tittensor, Derek P. Walker, Nicola D. Schewe, Jacob Volkholz, Jan Büchner, Matthias 2018 application/octet-stream https://dx.doi.org/10.5880/pik.2018.004 http://dataservices.gfz-potsdam.de/pik/showshort.php?id=escidoc:2956912 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 https://www.isimip.org/gettingstarted/marine-ecosystems-fisheries/ Model data are licensed under CC BY 4.0 http://creativecommons.org/licenses/by/4.0 CC-BY dataset Dataset 2018 ftdatacite https://doi.org/10.5880/pik.2018.004 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 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 fisheries & marine ecosystems (regional) models: Atlantis (Southeastern Australia) EwE (Adriatic Sea), EwE (Baltic Sea), EwE (Catalan Sea or NW Mediterranean Sea), EwE (Cook Strait, New Zealand), EwE (East Bass Strait, Australia), EwE (Mediterranean Sea), EwE (North Sea), OSMOSE (Northern Humboldt). : The ISIMIP2a Fisheries & Marine Ecosystems (Fish-MIP; regional) outputs are based on simulations from 9 regional fisheries & marine ecosystems models (see listing) according to the ISIMIP2a protocol (https://www.isimip.org/protocol/#isimip2a). The models simulate total ecosystem biomass, total consumer biomass, biomass by different size classes, and fisheries catches based on prescribed input fields 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) New Zealand |
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 fisheries & marine ecosystems (regional) models: Atlantis (Southeastern Australia) EwE (Adriatic Sea), EwE (Baltic Sea), EwE (Catalan Sea or NW Mediterranean Sea), EwE (Cook Strait, New Zealand), EwE (East Bass Strait, Australia), EwE (Mediterranean Sea), EwE (North Sea), OSMOSE (Northern Humboldt). : The ISIMIP2a Fisheries & Marine Ecosystems (Fish-MIP; regional) outputs are based on simulations from 9 regional fisheries & marine ecosystems models (see listing) according to the ISIMIP2a protocol (https://www.isimip.org/protocol/#isimip2a). The models simulate total ecosystem biomass, total consumer biomass, biomass by different size classes, and fisheries catches based on prescribed input fields 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 |
Eddy, Tyler D. Bulman, Cathy M. Cheung, William W.L. Coll, Marta Fulton, Elizabeth A. Galbraith, Eric D. Lotze, Heike K. Mackinson, Steve Niiranen, Susa Oliveros-Ramos, Ricardo Piroddi, Chiara Steenbeek, Jeroen Tittensor, Derek P. Walker, Nicola D. Schewe, Jacob Volkholz, Jan Büchner, Matthias |
spellingShingle |
Eddy, Tyler D. Bulman, Cathy M. Cheung, William W.L. Coll, Marta Fulton, Elizabeth A. Galbraith, Eric D. Lotze, Heike K. Mackinson, Steve Niiranen, Susa Oliveros-Ramos, Ricardo Piroddi, Chiara Steenbeek, Jeroen Tittensor, Derek P. Walker, Nicola D. Schewe, Jacob Volkholz, Jan Büchner, Matthias ISIMIP2a Simulation Data from Fisheries & Marine Ecosystems (Fish-MIP; regional) Sector |
author_facet |
Eddy, Tyler D. Bulman, Cathy M. Cheung, William W.L. Coll, Marta Fulton, Elizabeth A. Galbraith, Eric D. Lotze, Heike K. Mackinson, Steve Niiranen, Susa Oliveros-Ramos, Ricardo Piroddi, Chiara Steenbeek, Jeroen Tittensor, Derek P. Walker, Nicola D. Schewe, Jacob Volkholz, Jan Büchner, Matthias |
author_sort |
Eddy, Tyler D. |
title |
ISIMIP2a Simulation Data from Fisheries & Marine Ecosystems (Fish-MIP; regional) Sector |
title_short |
ISIMIP2a Simulation Data from Fisheries & Marine Ecosystems (Fish-MIP; regional) Sector |
title_full |
ISIMIP2a Simulation Data from Fisheries & Marine Ecosystems (Fish-MIP; regional) Sector |
title_fullStr |
ISIMIP2a Simulation Data from Fisheries & Marine Ecosystems (Fish-MIP; regional) Sector |
title_full_unstemmed |
ISIMIP2a Simulation Data from Fisheries & Marine Ecosystems (Fish-MIP; regional) Sector |
title_sort |
isimip2a simulation data from fisheries & marine ecosystems (fish-mip; regional) sector |
publisher |
GFZ Data Services |
publishDate |
2018 |
url |
https://dx.doi.org/10.5880/pik.2018.004 http://dataservices.gfz-potsdam.de/pik/showshort.php?id=escidoc:2956912 |
geographic |
New Zealand |
geographic_facet |
New Zealand |
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 https://www.isimip.org/gettingstarted/marine-ecosystems-fisheries/ |
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.2018.004 |
_version_ |
1766166933078540288 |