A 1D coupled physical-biogeochemical model for the North Atlantic for studying vertical carbon flux parameterizations ...
This repository provides the model output and code for analysis in the following article: Wang, B., & Fennel, K. (2023). An assessment of vertical carbon flux parameterizations using backscatter data from BGC Argo. Geophysical Research Letters , 50, e2022GL101220. https://doi.org/10.1029/2022GL1...
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Online Access: | https://dx.doi.org/10.5281/zenodo.7391885 https://zenodo.org/record/7391885 |
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ftdatacite:10.5281/zenodo.7391885 2023-06-11T04:14:25+02:00 A 1D coupled physical-biogeochemical model for the North Atlantic for studying vertical carbon flux parameterizations ... Wang, Bin Fennel, Katja 2022 https://dx.doi.org/10.5281/zenodo.7391885 https://zenodo.org/record/7391885 en eng Zenodo https://dx.doi.org/10.1029/2022gl101220 https://dx.doi.org/10.5281/zenodo.7391884 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 1D coupled physical-biogeochemical model vertical carbon flux parameterizations Dataset dataset 2022 ftdatacite https://doi.org/10.5281/zenodo.739188510.1029/2022gl10122010.5281/zenodo.7391884 2023-05-02T11:03:49Z This repository provides the model output and code for analysis in the following article: Wang, B., & Fennel, K. (2023). An assessment of vertical carbon flux parameterizations using backscatter data from BGC Argo. Geophysical Research Letters , 50, e2022GL101220. https://doi.org/10.1029/2022GL101220 ... Dataset North Atlantic 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 |
English |
topic |
1D coupled physical-biogeochemical model vertical carbon flux parameterizations |
spellingShingle |
1D coupled physical-biogeochemical model vertical carbon flux parameterizations Wang, Bin Fennel, Katja A 1D coupled physical-biogeochemical model for the North Atlantic for studying vertical carbon flux parameterizations ... |
topic_facet |
1D coupled physical-biogeochemical model vertical carbon flux parameterizations |
description |
This repository provides the model output and code for analysis in the following article: Wang, B., & Fennel, K. (2023). An assessment of vertical carbon flux parameterizations using backscatter data from BGC Argo. Geophysical Research Letters , 50, e2022GL101220. https://doi.org/10.1029/2022GL101220 ... |
format |
Dataset |
author |
Wang, Bin Fennel, Katja |
author_facet |
Wang, Bin Fennel, Katja |
author_sort |
Wang, Bin |
title |
A 1D coupled physical-biogeochemical model for the North Atlantic for studying vertical carbon flux parameterizations ... |
title_short |
A 1D coupled physical-biogeochemical model for the North Atlantic for studying vertical carbon flux parameterizations ... |
title_full |
A 1D coupled physical-biogeochemical model for the North Atlantic for studying vertical carbon flux parameterizations ... |
title_fullStr |
A 1D coupled physical-biogeochemical model for the North Atlantic for studying vertical carbon flux parameterizations ... |
title_full_unstemmed |
A 1D coupled physical-biogeochemical model for the North Atlantic for studying vertical carbon flux parameterizations ... |
title_sort |
1d coupled physical-biogeochemical model for the north atlantic for studying vertical carbon flux parameterizations ... |
publisher |
Zenodo |
publishDate |
2022 |
url |
https://dx.doi.org/10.5281/zenodo.7391885 https://zenodo.org/record/7391885 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
https://dx.doi.org/10.1029/2022gl101220 https://dx.doi.org/10.5281/zenodo.7391884 |
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_doi |
https://doi.org/10.5281/zenodo.739188510.1029/2022gl10122010.5281/zenodo.7391884 |
_version_ |
1768392416188956672 |