Quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach
The ability to constrain the mechanisms that transport organic carbon into the deep ocean is complicated by the multiple physical, chemical, and ecological processes that intersect to create, transform, and transport particles in the ocean. In this paper we develop and parameterize a data-assimilati...
Published in: | Biogeosciences |
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Copernicus Publications
2022
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00062143 2023-05-15T18:25:46+02:00 Quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach Stukel, Michael R. Décima, Moira Landry, Michael R. 2022-08 electronic https://doi.org/10.5194/bg-19-3595-2022 https://noa.gwlb.de/receive/cop_mods_00062143 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00061471/bg-19-3595-2022.pdf https://bg.copernicus.org/articles/19/3595/2022/bg-19-3595-2022.pdf eng eng Copernicus Publications Biogeosciences -- http://www.bibliothek.uni-regensburg.de/ezeit/?2158181 -- http://www.copernicus.org/EGU/bg/bg.html -- 1726-4189 https://doi.org/10.5194/bg-19-3595-2022 https://noa.gwlb.de/receive/cop_mods_00062143 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00061471/bg-19-3595-2022.pdf https://bg.copernicus.org/articles/19/3595/2022/bg-19-3595-2022.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2022 ftnonlinearchiv https://doi.org/10.5194/bg-19-3595-2022 2022-08-07T23:11:54Z The ability to constrain the mechanisms that transport organic carbon into the deep ocean is complicated by the multiple physical, chemical, and ecological processes that intersect to create, transform, and transport particles in the ocean. In this paper we develop and parameterize a data-assimilative model of the multiple pathways of the biological carbon pump (NEMUROBCP). The mechanistic model is designed to represent sinking particle flux, active transport by vertically migrating zooplankton, and passive transport by subduction and vertical mixing, while also explicitly representing multiple biological and chemical properties measured directly in the field (including nutrients, phytoplankton and zooplankton taxa, carbon dioxide and oxygen, nitrogen isotopes, and 234Thorium). Using 30 different data types (including standing stock and rate measurements related to nutrients, phytoplankton, zooplankton, and non-living organic matter) from Lagrangian experiments conducted on 11 cruises from four ocean regions, we conduct an objective statistical parameterization of the model and generate 1 million different potential parameter sets that are used for ensemble model simulations. The model simulates in situ parameters that were assimilated (net primary production and gravitational particle flux) and parameters that were withheld (234Thorium and nitrogen isotopes) with reasonable accuracy. Model results show that gravitational flux of sinking particles and vertical mixing of organic matter from the euphotic zone are more important biological pump pathways than active transport by vertically migrating zooplankton. However, these processes are regionally variable, with sinking particles most important in oligotrophic areas of the Gulf of Mexico and California Current, sinking particles and vertical mixing roughly equivalent in productive coastal upwelling regions and the subtropical front in the Southern Ocean, and active transport an important contributor in the eastern tropical Pacific. We further find that mortality ... Article in Journal/Newspaper Southern Ocean Niedersächsisches Online-Archiv NOA Pacific Southern Ocean Biogeosciences 19 15 3595 3624 |
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article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Stukel, Michael R. Décima, Moira Landry, Michael R. Quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach |
topic_facet |
article Verlagsveröffentlichung |
description |
The ability to constrain the mechanisms that transport organic carbon into the deep ocean is complicated by the multiple physical, chemical, and ecological processes that intersect to create, transform, and transport particles in the ocean. In this paper we develop and parameterize a data-assimilative model of the multiple pathways of the biological carbon pump (NEMUROBCP). The mechanistic model is designed to represent sinking particle flux, active transport by vertically migrating zooplankton, and passive transport by subduction and vertical mixing, while also explicitly representing multiple biological and chemical properties measured directly in the field (including nutrients, phytoplankton and zooplankton taxa, carbon dioxide and oxygen, nitrogen isotopes, and 234Thorium). Using 30 different data types (including standing stock and rate measurements related to nutrients, phytoplankton, zooplankton, and non-living organic matter) from Lagrangian experiments conducted on 11 cruises from four ocean regions, we conduct an objective statistical parameterization of the model and generate 1 million different potential parameter sets that are used for ensemble model simulations. The model simulates in situ parameters that were assimilated (net primary production and gravitational particle flux) and parameters that were withheld (234Thorium and nitrogen isotopes) with reasonable accuracy. Model results show that gravitational flux of sinking particles and vertical mixing of organic matter from the euphotic zone are more important biological pump pathways than active transport by vertically migrating zooplankton. However, these processes are regionally variable, with sinking particles most important in oligotrophic areas of the Gulf of Mexico and California Current, sinking particles and vertical mixing roughly equivalent in productive coastal upwelling regions and the subtropical front in the Southern Ocean, and active transport an important contributor in the eastern tropical Pacific. We further find that mortality ... |
format |
Article in Journal/Newspaper |
author |
Stukel, Michael R. Décima, Moira Landry, Michael R. |
author_facet |
Stukel, Michael R. Décima, Moira Landry, Michael R. |
author_sort |
Stukel, Michael R. |
title |
Quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach |
title_short |
Quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach |
title_full |
Quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach |
title_fullStr |
Quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach |
title_full_unstemmed |
Quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach |
title_sort |
quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/bg-19-3595-2022 https://noa.gwlb.de/receive/cop_mods_00062143 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00061471/bg-19-3595-2022.pdf https://bg.copernicus.org/articles/19/3595/2022/bg-19-3595-2022.pdf |
geographic |
Pacific Southern Ocean |
geographic_facet |
Pacific Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_relation |
Biogeosciences -- http://www.bibliothek.uni-regensburg.de/ezeit/?2158181 -- http://www.copernicus.org/EGU/bg/bg.html -- 1726-4189 https://doi.org/10.5194/bg-19-3595-2022 https://noa.gwlb.de/receive/cop_mods_00062143 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00061471/bg-19-3595-2022.pdf https://bg.copernicus.org/articles/19/3595/2022/bg-19-3595-2022.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/bg-19-3595-2022 |
container_title |
Biogeosciences |
container_volume |
19 |
container_issue |
15 |
container_start_page |
3595 |
op_container_end_page |
3624 |
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1766207426008186880 |