Assessment of Oceanic Anomalies of Predictive Potential (D2.5)

Climate prediction is the challenge to forecast climatic conditions months to decades into the future with a skill and regional detail that is of practical use. Will, for example, Arctic sea ice cover increase the next winter? Will Scandinavian hydroclimate be particularly beneficial for hydropower...

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Main Authors: Eldevik Tor, Årthun Marius
Format: Text
Language:unknown
Published: Zenodo 2019
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Online Access:https://dx.doi.org/10.5281/zenodo.3769154
https://zenodo.org/record/3769154
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spelling ftdatacite:10.5281/zenodo.3769154 2023-05-15T14:57:49+02:00 Assessment of Oceanic Anomalies of Predictive Potential (D2.5) Eldevik Tor Årthun Marius 2019 https://dx.doi.org/10.5281/zenodo.3769154 https://zenodo.org/record/3769154 unknown Zenodo https://zenodo.org/communities/blue-actionh2020 https://dx.doi.org/10.5281/zenodo.3769155 https://zenodo.org/communities/blue-actionh2020 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY Text Project deliverable article-journal ScholarlyArticle 2019 ftdatacite https://doi.org/10.5281/zenodo.3769154 https://doi.org/10.5281/zenodo.3769155 2021-11-05T12:55:41Z Climate prediction is the challenge to forecast climatic conditions months to decades into the future with a skill and regional detail that is of practical use. Will, for example, Arctic sea ice cover increase the next winter? Will Scandinavian hydroclimate be particularly beneficial for hydropower production? Will Southern European summers be excessively warm through the 2020s? To what extent such conditions are predictable in nature and to what extent predictability can be realised in operational climate forecast systems and translated to useful stakeholder information, i.e., the climate equivalent to weather forecasting, remain unknown. It is commonly understood that predictability resides with the more inert components of the climate system and particularly—as is the focus of Blue-Action—with ocean circulation. Blue-Action has substantiated this premise by exploring observations, climate models, and reanalyses (model simulations tightly constrained by available observations). Successful avenues of research and progress made in Blue-Action include mapping out the dominant timescales of European interannual-to-decadal climate variability, the identification of consistent and predictable variability in Atlantic-to-Arctic ocean circulation, the link of ocean variability to fluctuating climate over land and sea ice extent, and making actual climate forecasts toward 2020. : The Blue-Action project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 727852 Text Arctic Arctic Ocean Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic Arctic Ocean
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description Climate prediction is the challenge to forecast climatic conditions months to decades into the future with a skill and regional detail that is of practical use. Will, for example, Arctic sea ice cover increase the next winter? Will Scandinavian hydroclimate be particularly beneficial for hydropower production? Will Southern European summers be excessively warm through the 2020s? To what extent such conditions are predictable in nature and to what extent predictability can be realised in operational climate forecast systems and translated to useful stakeholder information, i.e., the climate equivalent to weather forecasting, remain unknown. It is commonly understood that predictability resides with the more inert components of the climate system and particularly—as is the focus of Blue-Action—with ocean circulation. Blue-Action has substantiated this premise by exploring observations, climate models, and reanalyses (model simulations tightly constrained by available observations). Successful avenues of research and progress made in Blue-Action include mapping out the dominant timescales of European interannual-to-decadal climate variability, the identification of consistent and predictable variability in Atlantic-to-Arctic ocean circulation, the link of ocean variability to fluctuating climate over land and sea ice extent, and making actual climate forecasts toward 2020. : The Blue-Action project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 727852
format Text
author Eldevik Tor
Årthun Marius
spellingShingle Eldevik Tor
Årthun Marius
Assessment of Oceanic Anomalies of Predictive Potential (D2.5)
author_facet Eldevik Tor
Årthun Marius
author_sort Eldevik Tor
title Assessment of Oceanic Anomalies of Predictive Potential (D2.5)
title_short Assessment of Oceanic Anomalies of Predictive Potential (D2.5)
title_full Assessment of Oceanic Anomalies of Predictive Potential (D2.5)
title_fullStr Assessment of Oceanic Anomalies of Predictive Potential (D2.5)
title_full_unstemmed Assessment of Oceanic Anomalies of Predictive Potential (D2.5)
title_sort assessment of oceanic anomalies of predictive potential (d2.5)
publisher Zenodo
publishDate 2019
url https://dx.doi.org/10.5281/zenodo.3769154
https://zenodo.org/record/3769154
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
Sea ice
genre_facet Arctic
Arctic Ocean
Sea ice
op_relation https://zenodo.org/communities/blue-actionh2020
https://dx.doi.org/10.5281/zenodo.3769155
https://zenodo.org/communities/blue-actionh2020
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.3769154
https://doi.org/10.5281/zenodo.3769155
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