Modeling the global emission, transport and deposition of trace elements associated with mineral dust
Trace element deposition from desert dust has important impacts on ocean primary productivity, the quantification of which could be useful in determining the magnitude and sign of the biogeochemical feedback on radiative forcing. However, the impact of elemental deposition to remote ocean regions is...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2015-10-01
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| Series: | Biogeosciences |
| Online Access: | http://www.biogeosciences.net/12/5771/2015/bg-12-5771-2015.pdf |
| _version_ | 1811274596643504128 |
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| author | Y. Zhang N. Mahowald R. A. Scanza E. Journet K. Desboeufs S. Albani J. F. Kok G. Zhuang Y. Chen D. D. Cohen A. Paytan M. D. Patey E. P. Achterberg J. P. Engelbrecht K. W. Fomba |
| author_facet | Y. Zhang N. Mahowald R. A. Scanza E. Journet K. Desboeufs S. Albani J. F. Kok G. Zhuang Y. Chen D. D. Cohen A. Paytan M. D. Patey E. P. Achterberg J. P. Engelbrecht K. W. Fomba |
| author_sort | Y. Zhang |
| collection | DOAJ |
| description | Trace element deposition from desert dust has important
impacts on ocean primary productivity, the quantification of which could be
useful in determining the magnitude and sign of the biogeochemical feedback
on radiative forcing. However, the impact of elemental deposition to remote
ocean regions is not well understood and is not currently included in global
climate models. In this study, emission inventories for eight elements
primarily of soil origin, Mg, P, Ca, Mn, Fe, K, Al, and Si are determined
based on a global mineral data set and a soil data set. The resulting
elemental fractions are used to drive the desert dust model in the Community
Earth System Model (CESM) in order to simulate the elemental concentrations
of atmospheric dust. Spatial variability of mineral dust elemental fractions
is evident on a global scale, particularly for Ca. Simulations of global
variations in the Ca / Al ratio, which typically range from around 0.1 to 5.0
in soils, are consistent with observations, suggesting that this ratio is a
good signature for dust source regions. The simulated variable fractions of
chemical elements are sufficiently different; estimates of deposition should
include elemental variations, especially for Ca, Al and Fe. The model
results have been evaluated with observations of elemental aerosol
concentrations from desert regions and dust events in non-dust regions,
providing insights into uncertainties in the modeling approach. The ratios
between modeled and observed elemental fractions range from 0.7 to 1.6,
except for Mg and Mn (3.4 and 3.5, respectively). Using the soil database
improves the correspondence of the spatial heterogeneity in the modeling of
several elements (Ca, Al and Fe) compared to observations. Total and soluble
dust element fluxes to different ocean basins and ice sheet regions have
been estimated, based on the model results. The annual inputs of soluble Mg, P,
Ca, Mn, Fe and K associated with dust using the mineral data set are 0.30 Tg,
16.89 Gg, 1.32 Tg, 22.84 Gg, 0.068 Tg, and 0.15 Tg to global oceans and ice
sheets. |
| first_indexed | 2024-04-12T23:21:59Z |
| format | Article |
| id | doaj.art-caddce893b684d2aa8d7d4758bb46335 |
| institution | Directory Open Access Journal |
| issn | 1726-4170 1726-4189 |
| language | English |
| last_indexed | 2024-04-12T23:21:59Z |
| publishDate | 2015-10-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Biogeosciences |
| spelling | doaj.art-caddce893b684d2aa8d7d4758bb463352022-12-22T03:12:30ZengCopernicus PublicationsBiogeosciences1726-41701726-41892015-10-0112195771579210.5194/bg-12-5771-2015Modeling the global emission, transport and deposition of trace elements associated with mineral dustY. Zhang0N. Mahowald1R. A. Scanza2E. Journet3K. Desboeufs4S. Albani5J. F. Kok6G. Zhuang7Y. Chen8D. D. Cohen9A. Paytan10M. D. Patey11E. P. Achterberg12J. P. Engelbrecht13K. W. Fomba14Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP<sup>3</sup>), Department of Environmental Science and Engineering, Fudan University, Shanghai, ChinaDepartment of Earth and Atmospheric Science, Cornell University, Ithaca, NY, USADepartment of Earth and Atmospheric Science, Cornell University, Ithaca, NY, USALISA, UMR CNRS7583, Université Paris-Est Créteil et Université Paris-Diderot, Créteil, FranceLISA, UMR CNRS7583, Université Paris-Est Créteil et Université Paris-Diderot, Créteil, FranceDepartment of Earth and Atmospheric Science, Cornell University, Ithaca, NY, USADepartment of Atmospheric and Oceanic Sciences, University of California, Los Angeles, CA, USAShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP<sup>3</sup>), Department of Environmental Science and Engineering, Fudan University, Shanghai, ChinaShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP<sup>3</sup>), Department of Environmental Science and Engineering, Fudan University, Shanghai, ChinaAustralian Nuclear Science and Technology Organization, Locked Bag 2001, Kirrawee DC, NSW, 2232, AustraliaEarth and Planetary Sciences Department, University of California, Santa Cruz, CA 95064, USAOcean and Earth Science, National Oceanography Centre Southampton, University of Southampton, Southampton SO14 3ZH, UKOcean and Earth Science, National Oceanography Centre Southampton, University of Southampton, Southampton SO14 3ZH, UKDesert Research Institute (DRI), 2215 Raggio Parkway, Reno, Nevada 89512-1095, USALeibniz Institute for Tropospheric Research (TROPOS), 04318 Leipzig, GermanyTrace element deposition from desert dust has important impacts on ocean primary productivity, the quantification of which could be useful in determining the magnitude and sign of the biogeochemical feedback on radiative forcing. However, the impact of elemental deposition to remote ocean regions is not well understood and is not currently included in global climate models. In this study, emission inventories for eight elements primarily of soil origin, Mg, P, Ca, Mn, Fe, K, Al, and Si are determined based on a global mineral data set and a soil data set. The resulting elemental fractions are used to drive the desert dust model in the Community Earth System Model (CESM) in order to simulate the elemental concentrations of atmospheric dust. Spatial variability of mineral dust elemental fractions is evident on a global scale, particularly for Ca. Simulations of global variations in the Ca / Al ratio, which typically range from around 0.1 to 5.0 in soils, are consistent with observations, suggesting that this ratio is a good signature for dust source regions. The simulated variable fractions of chemical elements are sufficiently different; estimates of deposition should include elemental variations, especially for Ca, Al and Fe. The model results have been evaluated with observations of elemental aerosol concentrations from desert regions and dust events in non-dust regions, providing insights into uncertainties in the modeling approach. The ratios between modeled and observed elemental fractions range from 0.7 to 1.6, except for Mg and Mn (3.4 and 3.5, respectively). Using the soil database improves the correspondence of the spatial heterogeneity in the modeling of several elements (Ca, Al and Fe) compared to observations. Total and soluble dust element fluxes to different ocean basins and ice sheet regions have been estimated, based on the model results. The annual inputs of soluble Mg, P, Ca, Mn, Fe and K associated with dust using the mineral data set are 0.30 Tg, 16.89 Gg, 1.32 Tg, 22.84 Gg, 0.068 Tg, and 0.15 Tg to global oceans and ice sheets.http://www.biogeosciences.net/12/5771/2015/bg-12-5771-2015.pdf |
| spellingShingle | Y. Zhang N. Mahowald R. A. Scanza E. Journet K. Desboeufs S. Albani J. F. Kok G. Zhuang Y. Chen D. D. Cohen A. Paytan M. D. Patey E. P. Achterberg J. P. Engelbrecht K. W. Fomba Modeling the global emission, transport and deposition of trace elements associated with mineral dust Biogeosciences |
| title | Modeling the global emission, transport and deposition of trace elements associated with mineral dust |
| title_full | Modeling the global emission, transport and deposition of trace elements associated with mineral dust |
| title_fullStr | Modeling the global emission, transport and deposition of trace elements associated with mineral dust |
| title_full_unstemmed | Modeling the global emission, transport and deposition of trace elements associated with mineral dust |
| title_short | Modeling the global emission, transport and deposition of trace elements associated with mineral dust |
| title_sort | modeling the global emission transport and deposition of trace elements associated with mineral dust |
| url | http://www.biogeosciences.net/12/5771/2015/bg-12-5771-2015.pdf |
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