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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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 |
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Open Polar |
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Central Washington University: ScholarWorks |
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ftcwashingtonuni |
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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. |
_version_ |
1766133803357569024 |