ECMWF YOPP dataset workflow
Schematic of the YOPP dataset production framework: The ini-tial conditions and ensemble forecasts are generated by ECMWF’s operationalforecasting system based on ensembles of data assimilation and models. Atmo-sphere, land and ocean waves are separate from the ocean and sea-ice circulationin the da...
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Online Access: | https://dx.doi.org/10.6084/m9.figshare.13013741.v1 https://springernature.figshare.com/articles/dataset/ECMWF_YOPP_dataset_workflow/13013741/1 |
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ftdatacite:10.6084/m9.figshare.13013741.v1 2023-05-15T18:17:54+02:00 ECMWF YOPP dataset workflow Bauer, Peter Sandu, Irina Magnusson, Linus Mladek, Richard Fuentes, Manuel 2020 https://dx.doi.org/10.6084/m9.figshare.13013741.v1 https://springernature.figshare.com/articles/dataset/ECMWF_YOPP_dataset_workflow/13013741/1 unknown figshare https://dx.doi.org/10.6084/m9.figshare.13013741 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 CC0 Atmospheric Sciences FOS Earth and related environmental sciences Climate Science dataset Dataset 2020 ftdatacite https://doi.org/10.6084/m9.figshare.13013741.v1 https://doi.org/10.6084/m9.figshare.13013741 2021-11-05T12:55:41Z Schematic of the YOPP dataset production framework: The ini-tial conditions and ensemble forecasts are generated by ECMWF’s operationalforecasting system based on ensembles of data assimilation and models. Atmo-sphere, land and ocean waves are separate from the ocean and sea-ice circulationin the data assimilation system, while the forecasts are fully coupled. Only the unperturbed control experiment output is ingested in the YOPP dataset from day 0 to day 15, and complemented by physical process tendency output from day 0 to day 2 Dataset Sea ice DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Atmospheric Sciences FOS Earth and related environmental sciences Climate Science |
spellingShingle |
Atmospheric Sciences FOS Earth and related environmental sciences Climate Science Bauer, Peter Sandu, Irina Magnusson, Linus Mladek, Richard Fuentes, Manuel ECMWF YOPP dataset workflow |
topic_facet |
Atmospheric Sciences FOS Earth and related environmental sciences Climate Science |
description |
Schematic of the YOPP dataset production framework: The ini-tial conditions and ensemble forecasts are generated by ECMWF’s operationalforecasting system based on ensembles of data assimilation and models. Atmo-sphere, land and ocean waves are separate from the ocean and sea-ice circulationin the data assimilation system, while the forecasts are fully coupled. Only the unperturbed control experiment output is ingested in the YOPP dataset from day 0 to day 15, and complemented by physical process tendency output from day 0 to day 2 |
format |
Dataset |
author |
Bauer, Peter Sandu, Irina Magnusson, Linus Mladek, Richard Fuentes, Manuel |
author_facet |
Bauer, Peter Sandu, Irina Magnusson, Linus Mladek, Richard Fuentes, Manuel |
author_sort |
Bauer, Peter |
title |
ECMWF YOPP dataset workflow |
title_short |
ECMWF YOPP dataset workflow |
title_full |
ECMWF YOPP dataset workflow |
title_fullStr |
ECMWF YOPP dataset workflow |
title_full_unstemmed |
ECMWF YOPP dataset workflow |
title_sort |
ecmwf yopp dataset workflow |
publisher |
figshare |
publishDate |
2020 |
url |
https://dx.doi.org/10.6084/m9.figshare.13013741.v1 https://springernature.figshare.com/articles/dataset/ECMWF_YOPP_dataset_workflow/13013741/1 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://dx.doi.org/10.6084/m9.figshare.13013741 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_rightsnorm |
CC0 |
op_doi |
https://doi.org/10.6084/m9.figshare.13013741.v1 https://doi.org/10.6084/m9.figshare.13013741 |
_version_ |
1766193379529457664 |