Constraining Global Marine Iron Sources and Ligand‐Mediated Scavenging Fluxes With GEOTRACES Dissolved Iron Measurements in an Ocean Biogeochemical Model
- Autores
- Somes, Christopher J.; Dale, Andrew W.; Wallmann, Klaus; Scholz, Florian; Yao, Wanxuan; Oschlies, Andreas; Muglia, Juan; Schmittner, Andreas; Achterberg, Eric P.
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Iron is a key micronutrient controlling phytoplankton growth in vast regions of the global ocean. Despite its importance, uncertainties remain high regarding external iron source fluxes and internal cycling on a global scale. In this study, we used a global dissolved iron data set, including GEOTRACES measurements, to constrain source and scavenging fluxes in the marine iron component of a global ocean biogeochemical model. Our model simulations tested three key uncertainties: source inputs of atmospheric soluble iron deposition (varying from 1.4 to 3.4 Gmol/yr), reductive sedimentary iron release (14–117 Gmol/yr), and compared a variable ligand parameterization to a constant distribution. In each simulation, scavenging rates were tuned to reproduce the observed global mean iron inventory for consistency. The variable ligand parameterization improved the global model-data misfit the most, suggesting that heterotrophic bacteria are an important source of ligands to the ocean. Model simulations containing high source fluxes of atmospheric soluble iron deposition (3.4 Gmol/ yr) and reductive sedimentary iron release (114 Gmol/yr) further improved the model most notably in the surface ocean. High scavenging rates were then required to maintain the iron inventory resulting in relatively short surface and global ocean residence times of 0.83 and 7.5 years, respectively. The model simulates a tight spatial coupling between source inputs and scavenging rates, which may be too strong due to underrepresented ligands near source inputs, contributing to large uncertainties when constraining individual fluxes with dissolved iron concentrations. Model biases remain high and are discussed to help improve global marine iron cycle models.
Fil: Somes, Christopher J.. Geomar-Helmholtz Centre for Ocean Research Kiel; Alemania
Fil: Dale, Andrew W.. Geomar-Helmholtz Centre for Ocean Research Kiel; Alemania
Fil: Wallmann, Klaus. Geomar-Helmholtz Centre for Ocean Research Kiel; Alemania
Fil: Scholz, Florian. Geomar-Helmholtz Centre for Ocean Research Kiel; Alemania
Fil: Yao, Wanxuan. Geomar-Helmholtz Centre for Ocean Research Kiel; Alemania
Fil: Oschlies, Andreas. Geomar-Helmholtz Centre for Ocean Research Kiel; Alemania
Fil: Muglia, Juan. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Centro para el Estudio de Sistemas Marinos; Argentina
Fil: Schmittner, Andreas. State University Of Oregon. College Of Earth, Ocean And Atmospheric Sciences.; Estados Unidos
Fil: Achterberg, Eric P.. Geomar-Helmholtz Centre for Ocean Research Kiel; Alemania - Materia
-
OCÉANO
MODELOS
BIOGEOQUÍMICA
HIERRO - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/163493
Ver los metadatos del registro completo
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Constraining Global Marine Iron Sources and Ligand‐Mediated Scavenging Fluxes With GEOTRACES Dissolved Iron Measurements in an Ocean Biogeochemical ModelSomes, Christopher J.Dale, Andrew W.Wallmann, KlausScholz, FlorianYao, WanxuanOschlies, AndreasMuglia, JuanSchmittner, AndreasAchterberg, Eric P.OCÉANOMODELOSBIOGEOQUÍMICAHIERROhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Iron is a key micronutrient controlling phytoplankton growth in vast regions of the global ocean. Despite its importance, uncertainties remain high regarding external iron source fluxes and internal cycling on a global scale. In this study, we used a global dissolved iron data set, including GEOTRACES measurements, to constrain source and scavenging fluxes in the marine iron component of a global ocean biogeochemical model. Our model simulations tested three key uncertainties: source inputs of atmospheric soluble iron deposition (varying from 1.4 to 3.4 Gmol/yr), reductive sedimentary iron release (14–117 Gmol/yr), and compared a variable ligand parameterization to a constant distribution. In each simulation, scavenging rates were tuned to reproduce the observed global mean iron inventory for consistency. The variable ligand parameterization improved the global model-data misfit the most, suggesting that heterotrophic bacteria are an important source of ligands to the ocean. Model simulations containing high source fluxes of atmospheric soluble iron deposition (3.4 Gmol/ yr) and reductive sedimentary iron release (114 Gmol/yr) further improved the model most notably in the surface ocean. High scavenging rates were then required to maintain the iron inventory resulting in relatively short surface and global ocean residence times of 0.83 and 7.5 years, respectively. The model simulates a tight spatial coupling between source inputs and scavenging rates, which may be too strong due to underrepresented ligands near source inputs, contributing to large uncertainties when constraining individual fluxes with dissolved iron concentrations. Model biases remain high and are discussed to help improve global marine iron cycle models.Fil: Somes, Christopher J.. Geomar-Helmholtz Centre for Ocean Research Kiel; AlemaniaFil: Dale, Andrew W.. Geomar-Helmholtz Centre for Ocean Research Kiel; AlemaniaFil: Wallmann, Klaus. Geomar-Helmholtz Centre for Ocean Research Kiel; AlemaniaFil: Scholz, Florian. Geomar-Helmholtz Centre for Ocean Research Kiel; AlemaniaFil: Yao, Wanxuan. Geomar-Helmholtz Centre for Ocean Research Kiel; AlemaniaFil: Oschlies, Andreas. Geomar-Helmholtz Centre for Ocean Research Kiel; AlemaniaFil: Muglia, Juan. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Centro para el Estudio de Sistemas Marinos; ArgentinaFil: Schmittner, Andreas. State University Of Oregon. College Of Earth, Ocean And Atmospheric Sciences.; Estados UnidosFil: Achterberg, Eric P.. Geomar-Helmholtz Centre for Ocean Research Kiel; AlemaniaAmerican Geophysical Union2021-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/163493Somes, Christopher J.; Dale, Andrew W.; Wallmann, Klaus; Scholz, Florian; Yao, Wanxuan; et al.; Constraining Global Marine Iron Sources and Ligand‐Mediated Scavenging Fluxes With GEOTRACES Dissolved Iron Measurements in an Ocean Biogeochemical Model; American Geophysical Union; Global Biogeochemical Cycles; 35; 8; 8-2021; 1-200886-6236CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1029/2021GB006948info:eu-repo/semantics/altIdentifier/doi/10.1029/2021GB006948info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:59:32Zoai:ri.conicet.gov.ar:11336/163493instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:59:32.86CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Constraining Global Marine Iron Sources and Ligand‐Mediated Scavenging Fluxes With GEOTRACES Dissolved Iron Measurements in an Ocean Biogeochemical Model |
title |
Constraining Global Marine Iron Sources and Ligand‐Mediated Scavenging Fluxes With GEOTRACES Dissolved Iron Measurements in an Ocean Biogeochemical Model |
spellingShingle |
Constraining Global Marine Iron Sources and Ligand‐Mediated Scavenging Fluxes With GEOTRACES Dissolved Iron Measurements in an Ocean Biogeochemical Model Somes, Christopher J. OCÉANO MODELOS BIOGEOQUÍMICA HIERRO |
title_short |
Constraining Global Marine Iron Sources and Ligand‐Mediated Scavenging Fluxes With GEOTRACES Dissolved Iron Measurements in an Ocean Biogeochemical Model |
title_full |
Constraining Global Marine Iron Sources and Ligand‐Mediated Scavenging Fluxes With GEOTRACES Dissolved Iron Measurements in an Ocean Biogeochemical Model |
title_fullStr |
Constraining Global Marine Iron Sources and Ligand‐Mediated Scavenging Fluxes With GEOTRACES Dissolved Iron Measurements in an Ocean Biogeochemical Model |
title_full_unstemmed |
Constraining Global Marine Iron Sources and Ligand‐Mediated Scavenging Fluxes With GEOTRACES Dissolved Iron Measurements in an Ocean Biogeochemical Model |
title_sort |
Constraining Global Marine Iron Sources and Ligand‐Mediated Scavenging Fluxes With GEOTRACES Dissolved Iron Measurements in an Ocean Biogeochemical Model |
dc.creator.none.fl_str_mv |
Somes, Christopher J. Dale, Andrew W. Wallmann, Klaus Scholz, Florian Yao, Wanxuan Oschlies, Andreas Muglia, Juan Schmittner, Andreas Achterberg, Eric P. |
author |
Somes, Christopher J. |
author_facet |
Somes, Christopher J. Dale, Andrew W. Wallmann, Klaus Scholz, Florian Yao, Wanxuan Oschlies, Andreas Muglia, Juan Schmittner, Andreas Achterberg, Eric P. |
author_role |
author |
author2 |
Dale, Andrew W. Wallmann, Klaus Scholz, Florian Yao, Wanxuan Oschlies, Andreas Muglia, Juan Schmittner, Andreas Achterberg, Eric P. |
author2_role |
author author author author author author author author |
dc.subject.none.fl_str_mv |
OCÉANO MODELOS BIOGEOQUÍMICA HIERRO |
topic |
OCÉANO MODELOS BIOGEOQUÍMICA HIERRO |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Iron is a key micronutrient controlling phytoplankton growth in vast regions of the global ocean. Despite its importance, uncertainties remain high regarding external iron source fluxes and internal cycling on a global scale. In this study, we used a global dissolved iron data set, including GEOTRACES measurements, to constrain source and scavenging fluxes in the marine iron component of a global ocean biogeochemical model. Our model simulations tested three key uncertainties: source inputs of atmospheric soluble iron deposition (varying from 1.4 to 3.4 Gmol/yr), reductive sedimentary iron release (14–117 Gmol/yr), and compared a variable ligand parameterization to a constant distribution. In each simulation, scavenging rates were tuned to reproduce the observed global mean iron inventory for consistency. The variable ligand parameterization improved the global model-data misfit the most, suggesting that heterotrophic bacteria are an important source of ligands to the ocean. Model simulations containing high source fluxes of atmospheric soluble iron deposition (3.4 Gmol/ yr) and reductive sedimentary iron release (114 Gmol/yr) further improved the model most notably in the surface ocean. High scavenging rates were then required to maintain the iron inventory resulting in relatively short surface and global ocean residence times of 0.83 and 7.5 years, respectively. The model simulates a tight spatial coupling between source inputs and scavenging rates, which may be too strong due to underrepresented ligands near source inputs, contributing to large uncertainties when constraining individual fluxes with dissolved iron concentrations. Model biases remain high and are discussed to help improve global marine iron cycle models. Fil: Somes, Christopher J.. Geomar-Helmholtz Centre for Ocean Research Kiel; Alemania Fil: Dale, Andrew W.. Geomar-Helmholtz Centre for Ocean Research Kiel; Alemania Fil: Wallmann, Klaus. Geomar-Helmholtz Centre for Ocean Research Kiel; Alemania Fil: Scholz, Florian. Geomar-Helmholtz Centre for Ocean Research Kiel; Alemania Fil: Yao, Wanxuan. Geomar-Helmholtz Centre for Ocean Research Kiel; Alemania Fil: Oschlies, Andreas. Geomar-Helmholtz Centre for Ocean Research Kiel; Alemania Fil: Muglia, Juan. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Centro para el Estudio de Sistemas Marinos; Argentina Fil: Schmittner, Andreas. State University Of Oregon. College Of Earth, Ocean And Atmospheric Sciences.; Estados Unidos Fil: Achterberg, Eric P.. Geomar-Helmholtz Centre for Ocean Research Kiel; Alemania |
description |
Iron is a key micronutrient controlling phytoplankton growth in vast regions of the global ocean. Despite its importance, uncertainties remain high regarding external iron source fluxes and internal cycling on a global scale. In this study, we used a global dissolved iron data set, including GEOTRACES measurements, to constrain source and scavenging fluxes in the marine iron component of a global ocean biogeochemical model. Our model simulations tested three key uncertainties: source inputs of atmospheric soluble iron deposition (varying from 1.4 to 3.4 Gmol/yr), reductive sedimentary iron release (14–117 Gmol/yr), and compared a variable ligand parameterization to a constant distribution. In each simulation, scavenging rates were tuned to reproduce the observed global mean iron inventory for consistency. The variable ligand parameterization improved the global model-data misfit the most, suggesting that heterotrophic bacteria are an important source of ligands to the ocean. Model simulations containing high source fluxes of atmospheric soluble iron deposition (3.4 Gmol/ yr) and reductive sedimentary iron release (114 Gmol/yr) further improved the model most notably in the surface ocean. High scavenging rates were then required to maintain the iron inventory resulting in relatively short surface and global ocean residence times of 0.83 and 7.5 years, respectively. The model simulates a tight spatial coupling between source inputs and scavenging rates, which may be too strong due to underrepresented ligands near source inputs, contributing to large uncertainties when constraining individual fluxes with dissolved iron concentrations. Model biases remain high and are discussed to help improve global marine iron cycle models. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-08 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/163493 Somes, Christopher J.; Dale, Andrew W.; Wallmann, Klaus; Scholz, Florian; Yao, Wanxuan; et al.; Constraining Global Marine Iron Sources and Ligand‐Mediated Scavenging Fluxes With GEOTRACES Dissolved Iron Measurements in an Ocean Biogeochemical Model; American Geophysical Union; Global Biogeochemical Cycles; 35; 8; 8-2021; 1-20 0886-6236 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/163493 |
identifier_str_mv |
Somes, Christopher J.; Dale, Andrew W.; Wallmann, Klaus; Scholz, Florian; Yao, Wanxuan; et al.; Constraining Global Marine Iron Sources and Ligand‐Mediated Scavenging Fluxes With GEOTRACES Dissolved Iron Measurements in an Ocean Biogeochemical Model; American Geophysical Union; Global Biogeochemical Cycles; 35; 8; 8-2021; 1-20 0886-6236 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1029/2021GB006948 info:eu-repo/semantics/altIdentifier/doi/10.1029/2021GB006948 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
American Geophysical Union |
publisher.none.fl_str_mv |
American Geophysical Union |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.070432 |