Global estimates of mineral dust aerosol iron and aluminum solubility that account for particle size using diffusion-controlled and surface-area-controlled approximations

Mineral aerosol deposition is recognized as the dominant source of iron to the open ocean and the solubility of iron in the dust aerosol is highly variable, with measurements ranging from 0.01–80%. Global models have difficulty capturing the observed variations in solubility, and have ignored the so...

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Main Authors: Han, Qin, Zender, Charles S., Moore, J. Keith, Buck, Clifton S., Chen, Ying, Johansen, Anne, Measures, Christopher I.
Format: Text
Language:unknown
Published: ScholarWorks@CWU 2012
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Online Access:https://digitalcommons.cwu.edu/cotsfac/177
https://digitalcommons.cwu.edu/cgi/viewcontent.cgi?article=1177&context=cotsfac
id ftcwashingtonuni:oai:digitalcommons.cwu.edu:cotsfac-1177
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spelling ftcwashingtonuni:oai:digitalcommons.cwu.edu:cotsfac-1177 2023-05-15T17:34:50+02:00 Global estimates of mineral dust aerosol iron and aluminum solubility that account for particle size using diffusion-controlled and surface-area-controlled approximations Han, Qin Zender, Charles S. Moore, J. Keith Buck, Clifton S. Chen, Ying Johansen, Anne Measures, Christopher I. 2012-06-20T07:00:00Z application/pdf https://digitalcommons.cwu.edu/cotsfac/177 https://digitalcommons.cwu.edu/cgi/viewcontent.cgi?article=1177&context=cotsfac unknown ScholarWorks@CWU https://digitalcommons.cwu.edu/cotsfac/177 https://digitalcommons.cwu.edu/cgi/viewcontent.cgi?article=1177&context=cotsfac © 2012. American Geophysical Union. All Rights Reserved. All Faculty Scholarship for the College of the Sciences Aerosol nutrient size solubility Iron Aluminum Ocean Biogeochemistry Environmental Chemistry Oceanography text 2012 ftcwashingtonuni 2022-10-20T20:29:02Z Mineral aerosol deposition is recognized as the dominant source of iron to the open ocean and the solubility of iron in the dust aerosol is highly variable, with measurements ranging from 0.01–80%. Global models have difficulty capturing the observed variations in solubility, and have ignored the solubility dependence on aerosol size. We introduce two idealized physical models to estimate the size dependence of mineral aerosol solubility: a diffusion‐controlled model and a surface‐area‐controlled model. These models produce differing time‐ and space‐varying solubility maps for aerosol Fe and Al given the dust age at deposition, size‐resolved dust entrainment fields, and the aerosol acidity. The resulting soluble iron deposition fluxes are substantially different, and more realistic, than a globally uniform solubility approximation. The surface‐area‐controlled solubility varies more than the diffusion‐controlled solubility and better captures the spatial pattern of observed solubility in the Atlantic. However, neither of these two models explains the large solubility variation observed in the Pacific. We then examine the impacts of spatially variable, size‐dependent solubility on marine biogeochemistry with the Biogeochemical Elemental Cycling (BEC) ocean model by comparing the modeled surface ocean dissolved Fe and Al with observations. The diffusion‐based variable solubility does not significantly improve the simulation of dissolved Fe relative to a 5% globally uniform solubility, while the surface‐area‐based variable solubility improves the simulation in the North Atlantic but worsens it in the Pacific and Indian Oceans. Text North Atlantic Central Washington University: ScholarWorks Indian Pacific
institution Open Polar
collection Central Washington University: ScholarWorks
op_collection_id ftcwashingtonuni
language unknown
topic Aerosol
nutrient
size
solubility
Iron
Aluminum
Ocean
Biogeochemistry
Environmental Chemistry
Oceanography
spellingShingle Aerosol
nutrient
size
solubility
Iron
Aluminum
Ocean
Biogeochemistry
Environmental Chemistry
Oceanography
Han, Qin
Zender, Charles S.
Moore, J. Keith
Buck, Clifton S.
Chen, Ying
Johansen, Anne
Measures, Christopher I.
Global estimates of mineral dust aerosol iron and aluminum solubility that account for particle size using diffusion-controlled and surface-area-controlled approximations
topic_facet Aerosol
nutrient
size
solubility
Iron
Aluminum
Ocean
Biogeochemistry
Environmental Chemistry
Oceanography
description Mineral aerosol deposition is recognized as the dominant source of iron to the open ocean and the solubility of iron in the dust aerosol is highly variable, with measurements ranging from 0.01–80%. Global models have difficulty capturing the observed variations in solubility, and have ignored the solubility dependence on aerosol size. We introduce two idealized physical models to estimate the size dependence of mineral aerosol solubility: a diffusion‐controlled model and a surface‐area‐controlled model. These models produce differing time‐ and space‐varying solubility maps for aerosol Fe and Al given the dust age at deposition, size‐resolved dust entrainment fields, and the aerosol acidity. The resulting soluble iron deposition fluxes are substantially different, and more realistic, than a globally uniform solubility approximation. The surface‐area‐controlled solubility varies more than the diffusion‐controlled solubility and better captures the spatial pattern of observed solubility in the Atlantic. However, neither of these two models explains the large solubility variation observed in the Pacific. We then examine the impacts of spatially variable, size‐dependent solubility on marine biogeochemistry with the Biogeochemical Elemental Cycling (BEC) ocean model by comparing the modeled surface ocean dissolved Fe and Al with observations. The diffusion‐based variable solubility does not significantly improve the simulation of dissolved Fe relative to a 5% globally uniform solubility, while the surface‐area‐based variable solubility improves the simulation in the North Atlantic but worsens it in the Pacific and Indian Oceans.
format Text
author Han, Qin
Zender, Charles S.
Moore, J. Keith
Buck, Clifton S.
Chen, Ying
Johansen, Anne
Measures, Christopher I.
author_facet Han, Qin
Zender, Charles S.
Moore, J. Keith
Buck, Clifton S.
Chen, Ying
Johansen, Anne
Measures, Christopher I.
author_sort Han, Qin
title Global estimates of mineral dust aerosol iron and aluminum solubility that account for particle size using diffusion-controlled and surface-area-controlled approximations
title_short Global estimates of mineral dust aerosol iron and aluminum solubility that account for particle size using diffusion-controlled and surface-area-controlled approximations
title_full Global estimates of mineral dust aerosol iron and aluminum solubility that account for particle size using diffusion-controlled and surface-area-controlled approximations
title_fullStr Global estimates of mineral dust aerosol iron and aluminum solubility that account for particle size using diffusion-controlled and surface-area-controlled approximations
title_full_unstemmed Global estimates of mineral dust aerosol iron and aluminum solubility that account for particle size using diffusion-controlled and surface-area-controlled approximations
title_sort global estimates of mineral dust aerosol iron and aluminum solubility that account for particle size using diffusion-controlled and surface-area-controlled approximations
publisher ScholarWorks@CWU
publishDate 2012
url https://digitalcommons.cwu.edu/cotsfac/177
https://digitalcommons.cwu.edu/cgi/viewcontent.cgi?article=1177&context=cotsfac
geographic Indian
Pacific
geographic_facet Indian
Pacific
genre North Atlantic
genre_facet North Atlantic
op_source All Faculty Scholarship for the College of the Sciences
op_relation https://digitalcommons.cwu.edu/cotsfac/177
https://digitalcommons.cwu.edu/cgi/viewcontent.cgi?article=1177&context=cotsfac
op_rights © 2012. American Geophysical Union. All Rights Reserved.
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