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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ftzenodo:oai:zenodo.org:3769155 2024-09-15T17:53:54+00:00 Assessment of Oceanic Anomalies of Predictive Potential (D2.5) Eldevik Tor Årthun Marius 2019-08-06 https://doi.org/10.5281/zenodo.3769155 unknown Zenodo https://zenodo.org/communities/eu https://zenodo.org/communities/blue-actionh2020 https://doi.org/10.5281/zenodo.3769154 https://doi.org/10.5281/zenodo.3769155 oai:zenodo.org:3769155 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/report 2019 ftzenodo https://doi.org/10.5281/zenodo.376915510.5281/zenodo.3769154 2024-07-26T22:49:28Z 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 Report Arctic Ocean Sea ice Zenodo |
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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 |
Report |
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://doi.org/10.5281/zenodo.3769155 |
genre |
Arctic Ocean Sea ice |
genre_facet |
Arctic Ocean Sea ice |
op_relation |
https://zenodo.org/communities/eu https://zenodo.org/communities/blue-actionh2020 https://doi.org/10.5281/zenodo.3769154 https://doi.org/10.5281/zenodo.3769155 oai:zenodo.org:3769155 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.376915510.5281/zenodo.3769154 |
_version_ |
1810430032278978560 |