A 1D coupled physical-biogeochemical model for the North Atlantic for studying vertical carbon flux parameterizations

This repository provides the model output andcode 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

Bibliographic Details
Main Authors: Bin Wang, Katja Fennel
Format: Other/Unknown Material
Language:English
Published: Zenodo 2022
Subjects:
1D coupled physical-biogeochemical model
vertical carbon flux parameterizations
North Atlantic
Online Access:https://doi.org/10.5281/zenodo.7391885
id ftzenodo:oai:zenodo.org:7391885
record_format openpolar
spelling ftzenodo:oai:zenodo.org:7391885 2024-09-15T18:21:48+00:00 A 1D coupled physical-biogeochemical model for the North Atlantic for studying vertical carbon flux parameterizations Bin Wang Katja Fennel 2022-12-07 https://doi.org/10.5281/zenodo.7391885 eng eng Zenodo https://doi.org/10.1029/2022GL101220 https://doi.org/10.5281/zenodo.7391884 https://doi.org/10.5281/zenodo.7391885 oai:zenodo.org:7391885 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode 1D coupled physical-biogeochemical model vertical carbon flux parameterizations info:eu-repo/semantics/other 2022 ftzenodo https://doi.org/10.5281/zenodo.739188510.1029/2022GL10122010.5281/zenodo.7391884 2024-07-25T19:16:52Z This repository provides the model output andcode 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 Other/Unknown Material North Atlantic Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language English
topic 1D coupled physical-biogeochemical model
vertical carbon flux parameterizations
spellingShingle 1D coupled physical-biogeochemical model
vertical carbon flux parameterizations
Bin Wang
Katja Fennel
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 andcode 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 Other/Unknown Material
author Bin Wang
Katja Fennel
author_facet Bin Wang
Katja Fennel
author_sort Bin Wang
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://doi.org/10.5281/zenodo.7391885
genre North Atlantic
genre_facet North Atlantic
op_relation https://doi.org/10.1029/2022GL101220
https://doi.org/10.5281/zenodo.7391884
https://doi.org/10.5281/zenodo.7391885
oai:zenodo.org:7391885
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.739188510.1029/2022GL10122010.5281/zenodo.7391884
_version_ 1810460731306409984

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