FESOM1.4-REcoM2 model analysis: Time series of cross-sectional transport of water masses and organic carbon
This data and corresponding python3 notebook allow the reproduction of the Figure 4 "Time series of cross-sectional transport of water masses and organic carbon from the FESOM-REcoM2 model run" in the scientific article Rogue et al. 2022 " Cross-shelf transport of Barents Sea dense wa...
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Online Access: | https://doi.org/10.5281/zenodo.7071083 |
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ftzenodo:oai:zenodo.org:7071083 2024-09-15T17:53:29+00:00 FESOM1.4-REcoM2 model analysis: Time series of cross-sectional transport of water masses and organic carbon Oziel, Laurent Schourup-Kristensen, Vibe 2022-09-15 https://doi.org/10.5281/zenodo.7071083 unknown Zenodo https://doi.org/10.5281/zenodo.7071082 https://doi.org/10.5281/zenodo.7071083 oai:zenodo.org:7071083 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode model output biogeochemical model Organic matter transport info:eu-repo/semantics/article 2022 ftzenodo https://doi.org/10.5281/zenodo.707108310.5281/zenodo.7071082 2024-07-27T06:34:08Z This data and corresponding python3 notebook allow the reproduction of the Figure 4 "Time series of cross-sectional transport of water masses and organic carbon from the FESOM-REcoM2 model run" in the scientific article Rogue et al. 2022 " Cross-shelf transport of Barents Sea dense water as a sink for CO 2 in the Arctic Ocean" in Nature Geoscience. It includes all horizontal physical, DOC and POC transports along all sections (North of Severnaya Zemlya, North of Franz Josef, St. Anna Trough) and linear regression statistics. Article in Journal/Newspaper Arctic Ocean Barents Sea Severnaya Zemlya Zenodo |
institution |
Open Polar |
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Zenodo |
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ftzenodo |
language |
unknown |
topic |
model output biogeochemical model Organic matter transport |
spellingShingle |
model output biogeochemical model Organic matter transport Oziel, Laurent Schourup-Kristensen, Vibe FESOM1.4-REcoM2 model analysis: Time series of cross-sectional transport of water masses and organic carbon |
topic_facet |
model output biogeochemical model Organic matter transport |
description |
This data and corresponding python3 notebook allow the reproduction of the Figure 4 "Time series of cross-sectional transport of water masses and organic carbon from the FESOM-REcoM2 model run" in the scientific article Rogue et al. 2022 " Cross-shelf transport of Barents Sea dense water as a sink for CO 2 in the Arctic Ocean" in Nature Geoscience. It includes all horizontal physical, DOC and POC transports along all sections (North of Severnaya Zemlya, North of Franz Josef, St. Anna Trough) and linear regression statistics. |
format |
Article in Journal/Newspaper |
author |
Oziel, Laurent Schourup-Kristensen, Vibe |
author_facet |
Oziel, Laurent Schourup-Kristensen, Vibe |
author_sort |
Oziel, Laurent |
title |
FESOM1.4-REcoM2 model analysis: Time series of cross-sectional transport of water masses and organic carbon |
title_short |
FESOM1.4-REcoM2 model analysis: Time series of cross-sectional transport of water masses and organic carbon |
title_full |
FESOM1.4-REcoM2 model analysis: Time series of cross-sectional transport of water masses and organic carbon |
title_fullStr |
FESOM1.4-REcoM2 model analysis: Time series of cross-sectional transport of water masses and organic carbon |
title_full_unstemmed |
FESOM1.4-REcoM2 model analysis: Time series of cross-sectional transport of water masses and organic carbon |
title_sort |
fesom1.4-recom2 model analysis: time series of cross-sectional transport of water masses and organic carbon |
publisher |
Zenodo |
publishDate |
2022 |
url |
https://doi.org/10.5281/zenodo.7071083 |
genre |
Arctic Ocean Barents Sea Severnaya Zemlya |
genre_facet |
Arctic Ocean Barents Sea Severnaya Zemlya |
op_relation |
https://doi.org/10.5281/zenodo.7071082 https://doi.org/10.5281/zenodo.7071083 oai:zenodo.org:7071083 |
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.707108310.5281/zenodo.7071082 |
_version_ |
1810429330136760320 |