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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Bibliographic Details
Main Authors: Wang, Bin, Fennel, Katja
Format: Dataset
Language:English
Published: Zenodo 2022
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.7391885
https://zenodo.org/record/7391885
id ftdatacite:10.5281/zenodo.7391885
record_format openpolar
spelling 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
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