Atmospheric sulfur cycle simulated in the global model GOCART: Comparison with field observations and regional budgets

We present a detailed evaluation of the atmospheric sulfur cycle simulated in the Georgia Tech/Goddard Global Ozone Chemistry Aerosol Radiation and Transport (GOCART) model. The model simulations of SO2, sulfate, dimethylsulfide (DMS), and methanesulfonic acid (MSA) are compared with observations fr...

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Published in:Journal of Geophysical Research: Atmospheres
Main Authors: Chin, Mian, Savoie, Dennis L, Huebert, Barry J, Bandy, Alan R, Thornton, Donald C, Bates, Timothy S, Quinn, Patricia K, Saltzman, Eric S, De Bruyn, Warren J
Format: Article in Journal/Newspaper
Language:English
Published: eScholarship, University of California 2000
Subjects:
EOS
Online Access:http://www.escholarship.org/uc/item/48w6s38s
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spelling ftcdlib:qt48w6s38s 2023-05-15T17:35:37+02:00 Atmospheric sulfur cycle simulated in the global model GOCART: Comparison with field observations and regional budgets Chin, Mian Savoie, Dennis L Huebert, Barry J Bandy, Alan R Thornton, Donald C Bates, Timothy S Quinn, Patricia K Saltzman, Eric S De Bruyn, Warren J 24689 2000-10-01 application/pdf http://www.escholarship.org/uc/item/48w6s38s english eng eScholarship, University of California qt48w6s38s http://www.escholarship.org/uc/item/48w6s38s Attribution (CC BY): http://creativecommons.org/licenses/by/3.0/ CC-BY Chin, Mian; Savoie, Dennis L; Huebert, Barry J; Bandy, Alan R; Thornton, Donald C; Bates, Timothy S; et al.(2000). Atmospheric sulfur cycle simulated in the global model GOCART: Comparison with field observations and regional budgets. Journal of Geophysical Research, 105(D20), 24689. doi:10.1029/2000JD900385. UC Irvine: Department of Earth System Science, UCI. Retrieved from: http://www.escholarship.org/uc/item/48w6s38s Physical Sciences and Mathematics atmospheric chemistry atmospheric modeling EOS sulfur cycle article 2000 ftcdlib https://doi.org/10.1029/2000JD900385 2016-04-02T18:25:09Z We present a detailed evaluation of the atmospheric sulfur cycle simulated in the Georgia Tech/Goddard Global Ozone Chemistry Aerosol Radiation and Transport (GOCART) model. The model simulations of SO2, sulfate, dimethylsulfide (DMS), and methanesulfonic acid (MSA) are compared with observations from different regions on various timescales. The model agrees within 30% with the regionally averaged sulfate concentrations measured over North America and Europe but overestimates the SO2 concentrations by more than a factor of 2 there. This suggests that either the emission rates are too high, or an additional loss of SO2 which does not lead to a significant sulfate production is needed. The average wintertime sulfate concentrations over Europe in the model are nearly a factor of 2 lower than measured values, a discrepancy which may be attributed largely to the sea-salt sulfate collected in the data. The model reproduces the sulfur distributions observed over the oceans in both long-term surface measurements and short-term aircraft campaigns. Regional budget analyses show that sulfate production from SO2 oxidation is 2 to 3 times more efficient and the lifetimes of SO2 and sulfate are nearly a factor of 2 longer over the ocean than over the land. This is due to a larger free tropospheric fraction of SO2 column over the ocean than over the land, hence less loss to the surface. The North Atlantic and northwestern Pacific regions are heavily influenced by anthropogenic activities, with more than 60% of the total SO2 originating from anthropogenic sources. The average production efficiency of SO2 from DMS oxidation is estimated at 0.87 to 0.91 in most oceanic regions. Article in Journal/Newspaper North Atlantic University of California: eScholarship Pacific Journal of Geophysical Research: Atmospheres 105 D20 24689 24712
institution Open Polar
collection University of California: eScholarship
op_collection_id ftcdlib
language English
topic Physical Sciences and Mathematics
atmospheric chemistry
atmospheric modeling
EOS
sulfur cycle
spellingShingle Physical Sciences and Mathematics
atmospheric chemistry
atmospheric modeling
EOS
sulfur cycle
Chin, Mian
Savoie, Dennis L
Huebert, Barry J
Bandy, Alan R
Thornton, Donald C
Bates, Timothy S
Quinn, Patricia K
Saltzman, Eric S
De Bruyn, Warren J
Atmospheric sulfur cycle simulated in the global model GOCART: Comparison with field observations and regional budgets
topic_facet Physical Sciences and Mathematics
atmospheric chemistry
atmospheric modeling
EOS
sulfur cycle
description We present a detailed evaluation of the atmospheric sulfur cycle simulated in the Georgia Tech/Goddard Global Ozone Chemistry Aerosol Radiation and Transport (GOCART) model. The model simulations of SO2, sulfate, dimethylsulfide (DMS), and methanesulfonic acid (MSA) are compared with observations from different regions on various timescales. The model agrees within 30% with the regionally averaged sulfate concentrations measured over North America and Europe but overestimates the SO2 concentrations by more than a factor of 2 there. This suggests that either the emission rates are too high, or an additional loss of SO2 which does not lead to a significant sulfate production is needed. The average wintertime sulfate concentrations over Europe in the model are nearly a factor of 2 lower than measured values, a discrepancy which may be attributed largely to the sea-salt sulfate collected in the data. The model reproduces the sulfur distributions observed over the oceans in both long-term surface measurements and short-term aircraft campaigns. Regional budget analyses show that sulfate production from SO2 oxidation is 2 to 3 times more efficient and the lifetimes of SO2 and sulfate are nearly a factor of 2 longer over the ocean than over the land. This is due to a larger free tropospheric fraction of SO2 column over the ocean than over the land, hence less loss to the surface. The North Atlantic and northwestern Pacific regions are heavily influenced by anthropogenic activities, with more than 60% of the total SO2 originating from anthropogenic sources. The average production efficiency of SO2 from DMS oxidation is estimated at 0.87 to 0.91 in most oceanic regions.
format Article in Journal/Newspaper
author Chin, Mian
Savoie, Dennis L
Huebert, Barry J
Bandy, Alan R
Thornton, Donald C
Bates, Timothy S
Quinn, Patricia K
Saltzman, Eric S
De Bruyn, Warren J
author_facet Chin, Mian
Savoie, Dennis L
Huebert, Barry J
Bandy, Alan R
Thornton, Donald C
Bates, Timothy S
Quinn, Patricia K
Saltzman, Eric S
De Bruyn, Warren J
author_sort Chin, Mian
title Atmospheric sulfur cycle simulated in the global model GOCART: Comparison with field observations and regional budgets
title_short Atmospheric sulfur cycle simulated in the global model GOCART: Comparison with field observations and regional budgets
title_full Atmospheric sulfur cycle simulated in the global model GOCART: Comparison with field observations and regional budgets
title_fullStr Atmospheric sulfur cycle simulated in the global model GOCART: Comparison with field observations and regional budgets
title_full_unstemmed Atmospheric sulfur cycle simulated in the global model GOCART: Comparison with field observations and regional budgets
title_sort atmospheric sulfur cycle simulated in the global model gocart: comparison with field observations and regional budgets
publisher eScholarship, University of California
publishDate 2000
url http://www.escholarship.org/uc/item/48w6s38s
op_coverage 24689
geographic Pacific
geographic_facet Pacific
genre North Atlantic
genre_facet North Atlantic
op_source Chin, Mian; Savoie, Dennis L; Huebert, Barry J; Bandy, Alan R; Thornton, Donald C; Bates, Timothy S; et al.(2000). Atmospheric sulfur cycle simulated in the global model GOCART: Comparison with field observations and regional budgets. Journal of Geophysical Research, 105(D20), 24689. doi:10.1029/2000JD900385. UC Irvine: Department of Earth System Science, UCI. Retrieved from: http://www.escholarship.org/uc/item/48w6s38s
op_relation qt48w6s38s
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op_rights Attribution (CC BY): http://creativecommons.org/licenses/by/3.0/
op_rightsnorm CC-BY
op_doi https://doi.org/10.1029/2000JD900385
container_title Journal of Geophysical Research: Atmospheres
container_volume 105
container_issue D20
container_start_page 24689
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