Benchmark performance of state-of- the-art prediction systems (D4.2)

The Blue-Action WP4 research within Task 4.1 has been mainly focusing on assessing in a mechanistic way the key processes responsible for the Arctic-lower latitude predictive linkages and their representation in the current state-of-art prediction systems. : The Blue-Action project has received fund...

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Main Author: Matei, Daniela
Format: Text
Language:English
Published: Zenodo 2019
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.3574097
https://zenodo.org/record/3574097
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spelling ftdatacite:10.5281/zenodo.3574097 2023-05-15T14:55:30+02:00 Benchmark performance of state-of- the-art prediction systems (D4.2) Matei, Daniela 2019 https://dx.doi.org/10.5281/zenodo.3574097 https://zenodo.org/record/3574097 en eng Zenodo https://zenodo.org/communities/blue-actionh2020 https://dx.doi.org/10.5281/zenodo.3574096 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.3574097 https://doi.org/10.5281/zenodo.3574096 2021-11-05T12:55:41Z The Blue-Action WP4 research within Task 4.1 has been mainly focusing on assessing in a mechanistic way the key processes responsible for the Arctic-lower latitude predictive linkages and their representation in the current state-of-art prediction systems. : 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 DataCite Metadata Store (German National Library of Science and Technology) Arctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
description The Blue-Action WP4 research within Task 4.1 has been mainly focusing on assessing in a mechanistic way the key processes responsible for the Arctic-lower latitude predictive linkages and their representation in the current state-of-art prediction systems. : 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 Matei, Daniela
spellingShingle Matei, Daniela
Benchmark performance of state-of- the-art prediction systems (D4.2)
author_facet Matei, Daniela
author_sort Matei, Daniela
title Benchmark performance of state-of- the-art prediction systems (D4.2)
title_short Benchmark performance of state-of- the-art prediction systems (D4.2)
title_full Benchmark performance of state-of- the-art prediction systems (D4.2)
title_fullStr Benchmark performance of state-of- the-art prediction systems (D4.2)
title_full_unstemmed Benchmark performance of state-of- the-art prediction systems (D4.2)
title_sort benchmark performance of state-of- the-art prediction systems (d4.2)
publisher Zenodo
publishDate 2019
url https://dx.doi.org/10.5281/zenodo.3574097
https://zenodo.org/record/3574097
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation https://zenodo.org/communities/blue-actionh2020
https://dx.doi.org/10.5281/zenodo.3574096
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.3574097
https://doi.org/10.5281/zenodo.3574096
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