Modeling dust and soluble iron deposition to the South Atlantic Ocean
The global chemical transport model GEOS-Chem, implemented with a dust-iron dissolution scheme, was used to analyze the magnitude and spatial distribution of mineral dust and soluble-iron (sol-Fe) deposition to the South Atlantic Ocean (SAO). The comparison of model results with remotely sensed data...
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ftconicet:oai:ri.conicet.gov.ar:11336/54295 2023-10-09T21:55:56+02:00 Modeling dust and soluble iron deposition to the South Atlantic Ocean Johnson, Matthew S. Meskhidze, Nicholas Solmon, Fabien Gassó, Santiago Chuang, Patrick Y. Gaiero, Diego Marcelo Yantosca, Robert M. Wu, Shiliang Wang, Yuxuan Carouge, Claire application/pdf http://hdl.handle.net/11336/54295 eng eng American Geophysical Union info:eu-repo/semantics/altIdentifier/url/https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2009JD013311 info:eu-repo/semantics/altIdentifier/doi/10.1029/2009JD013311 http://hdl.handle.net/11336/54295 Johnson, Matthew S.; Meskhidze, Nicholas; Solmon, Fabien; Gassó, Santiago; Chuang, Patrick Y.; et al.; Modeling dust and soluble iron deposition to the South Atlantic Ocean; American Geophysical Union; Journal of Geophysical Research; 115; 15; 6-2010 0148-0227 2156-2202 CONICET Digital CONICET info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ BIOLOGICAL PRODUCTIVITY DISSOLVED IRON DUST SOURCES CHEMICAL TRANSPORT MODELS https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion ftconicet https://doi.org/10.1029/2009JD013311 2023-09-24T19:53:45Z The global chemical transport model GEOS-Chem, implemented with a dust-iron dissolution scheme, was used to analyze the magnitude and spatial distribution of mineral dust and soluble-iron (sol-Fe) deposition to the South Atlantic Ocean (SAO). The comparison of model results with remotely sensed data shows that GEOS-Chem can capture dust source regions in Patagonia and characterize the temporal variability of dust outflow. For a year-long model simulation, 22 Tg of mineral dust and 4 Gg of sol-Fe were deposited to the surface waters of the entire SAO region, with roughly 30% of this dust and sol-Fe predicted to be deposited to possible high nitrate low chlorophyll oceanic regions. Model-predicted dissolved iron fraction of mineral dust over the SAO was small, on average only accounting for 0.57% of total iron. Simulations suggest that the primary reason for such a small fraction of sol-Fe is the low ambient concentrations of acidic trace gases available for mixing with dust plumes. Overall, the amount of acid added to the deliquesced aerosol solution was not enough to overcome the alkalinity buffer of Patagonian dust and initiate considerable acid dissolution of mineral-iron. Sensitivity studies show that the amount of sol-Fe deposited to the SAO was largely controlled by the initial amount of sol-Fe at the source region, with limited contribution from the spatial variability of Patagonian-desert topsoil mineralogy and natural sources of acidic trace gases. Simulations suggest that Patagonian dust should have a minor effect on biological productivity in the SAO. Fil: Johnson, Matthew S. North Carolina Sate University; Estados Unidos Fil: Meskhidze, Nicholas. North Carolina Sate University; Estados Unidos Fil: Solmon, Fabien. French National Center for Scientific Research; Francia Fil: Gassó, Santiago. University of Maryland; Estados Unidos Fil: Chuang, Patrick Y. California State University; Estados Unidos Fil: Gaiero, Diego Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro ... Article in Journal/Newspaper South Atlantic Ocean CONICET Digital (Consejo Nacional de Investigaciones Científicas y Técnicas) Patagonia Journal of Geophysical Research 115 D15 |
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Open Polar |
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CONICET Digital (Consejo Nacional de Investigaciones Científicas y Técnicas) |
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ftconicet |
language |
English |
topic |
BIOLOGICAL PRODUCTIVITY DISSOLVED IRON DUST SOURCES CHEMICAL TRANSPORT MODELS https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
spellingShingle |
BIOLOGICAL PRODUCTIVITY DISSOLVED IRON DUST SOURCES CHEMICAL TRANSPORT MODELS https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 Johnson, Matthew S. Meskhidze, Nicholas Solmon, Fabien Gassó, Santiago Chuang, Patrick Y. Gaiero, Diego Marcelo Yantosca, Robert M. Wu, Shiliang Wang, Yuxuan Carouge, Claire Modeling dust and soluble iron deposition to the South Atlantic Ocean |
topic_facet |
BIOLOGICAL PRODUCTIVITY DISSOLVED IRON DUST SOURCES CHEMICAL TRANSPORT MODELS https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
description |
The global chemical transport model GEOS-Chem, implemented with a dust-iron dissolution scheme, was used to analyze the magnitude and spatial distribution of mineral dust and soluble-iron (sol-Fe) deposition to the South Atlantic Ocean (SAO). The comparison of model results with remotely sensed data shows that GEOS-Chem can capture dust source regions in Patagonia and characterize the temporal variability of dust outflow. For a year-long model simulation, 22 Tg of mineral dust and 4 Gg of sol-Fe were deposited to the surface waters of the entire SAO region, with roughly 30% of this dust and sol-Fe predicted to be deposited to possible high nitrate low chlorophyll oceanic regions. Model-predicted dissolved iron fraction of mineral dust over the SAO was small, on average only accounting for 0.57% of total iron. Simulations suggest that the primary reason for such a small fraction of sol-Fe is the low ambient concentrations of acidic trace gases available for mixing with dust plumes. Overall, the amount of acid added to the deliquesced aerosol solution was not enough to overcome the alkalinity buffer of Patagonian dust and initiate considerable acid dissolution of mineral-iron. Sensitivity studies show that the amount of sol-Fe deposited to the SAO was largely controlled by the initial amount of sol-Fe at the source region, with limited contribution from the spatial variability of Patagonian-desert topsoil mineralogy and natural sources of acidic trace gases. Simulations suggest that Patagonian dust should have a minor effect on biological productivity in the SAO. Fil: Johnson, Matthew S. North Carolina Sate University; Estados Unidos Fil: Meskhidze, Nicholas. North Carolina Sate University; Estados Unidos Fil: Solmon, Fabien. French National Center for Scientific Research; Francia Fil: Gassó, Santiago. University of Maryland; Estados Unidos Fil: Chuang, Patrick Y. California State University; Estados Unidos Fil: Gaiero, Diego Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro ... |
format |
Article in Journal/Newspaper |
author |
Johnson, Matthew S. Meskhidze, Nicholas Solmon, Fabien Gassó, Santiago Chuang, Patrick Y. Gaiero, Diego Marcelo Yantosca, Robert M. Wu, Shiliang Wang, Yuxuan Carouge, Claire |
author_facet |
Johnson, Matthew S. Meskhidze, Nicholas Solmon, Fabien Gassó, Santiago Chuang, Patrick Y. Gaiero, Diego Marcelo Yantosca, Robert M. Wu, Shiliang Wang, Yuxuan Carouge, Claire |
author_sort |
Johnson, Matthew S. |
title |
Modeling dust and soluble iron deposition to the South Atlantic Ocean |
title_short |
Modeling dust and soluble iron deposition to the South Atlantic Ocean |
title_full |
Modeling dust and soluble iron deposition to the South Atlantic Ocean |
title_fullStr |
Modeling dust and soluble iron deposition to the South Atlantic Ocean |
title_full_unstemmed |
Modeling dust and soluble iron deposition to the South Atlantic Ocean |
title_sort |
modeling dust and soluble iron deposition to the south atlantic ocean |
publisher |
American Geophysical Union |
url |
http://hdl.handle.net/11336/54295 |
geographic |
Patagonia |
geographic_facet |
Patagonia |
genre |
South Atlantic Ocean |
genre_facet |
South Atlantic Ocean |
op_relation |
info:eu-repo/semantics/altIdentifier/url/https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2009JD013311 info:eu-repo/semantics/altIdentifier/doi/10.1029/2009JD013311 http://hdl.handle.net/11336/54295 Johnson, Matthew S.; Meskhidze, Nicholas; Solmon, Fabien; Gassó, Santiago; Chuang, Patrick Y.; et al.; Modeling dust and soluble iron deposition to the South Atlantic Ocean; American Geophysical Union; Journal of Geophysical Research; 115; 15; 6-2010 0148-0227 2156-2202 CONICET Digital CONICET |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
op_doi |
https://doi.org/10.1029/2009JD013311 |
container_title |
Journal of Geophysical Research |
container_volume |
115 |
container_issue |
D15 |
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1779320183243931648 |