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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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 http://www.escholarship.org/uc/item/48w6s38s |
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 |
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105 |
container_issue |
D20 |
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24689 |
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24712 |
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