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 fundin...
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2019
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| Online Access: | https://zenodo.org/record/3574097 https://doi.org/10.5281/zenodo.3574097 |
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ftzenodo:oai:zenodo.org:3574097 2023-05-15T14:55:25+02:00 Benchmark performance of state-of- the-art prediction systems (D4.2) Matei, Daniela 2019-12-13 https://zenodo.org/record/3574097 https://doi.org/10.5281/zenodo.3574097 eng eng info:eu-repo/grantAgreement/EC/H2020/727852/ doi:10.5281/zenodo.3574096 https://zenodo.org/communities/blue-actionh2020 https://zenodo.org/record/3574097 https://doi.org/10.5281/zenodo.3574097 oai:zenodo.org:3574097 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/report publication-deliverable 2019 ftzenodo https://doi.org/10.5281/zenodo.357409710.5281/zenodo.3574096 2023-03-11T00:31:12Z 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. Report Arctic Zenodo Arctic |
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Open Polar |
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Zenodo |
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ftzenodo |
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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 |
Report |
| 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) |
| publishDate |
2019 |
| url |
https://zenodo.org/record/3574097 https://doi.org/10.5281/zenodo.3574097 |
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Arctic |
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Arctic |
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Arctic |
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Arctic |
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info:eu-repo/grantAgreement/EC/H2020/727852/ doi:10.5281/zenodo.3574096 https://zenodo.org/communities/blue-actionh2020 https://zenodo.org/record/3574097 https://doi.org/10.5281/zenodo.3574097 oai:zenodo.org:3574097 |
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info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
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https://doi.org/10.5281/zenodo.357409710.5281/zenodo.3574096 |
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