author_facet Lack, Daniel A.
Tie, Xuexi X.
Bofinger, Neville D.
Wiegand, Aaron N.
Madronich, Sasha
Lack, Daniel A.
Tie, Xuexi X.
Bofinger, Neville D.
Wiegand, Aaron N.
Madronich, Sasha
author Lack, Daniel A.
Tie, Xuexi X.
Bofinger, Neville D.
Wiegand, Aaron N.
Madronich, Sasha
spellingShingle Lack, Daniel A.
Tie, Xuexi X.
Bofinger, Neville D.
Wiegand, Aaron N.
Madronich, Sasha
Journal of Geophysical Research: Atmospheres
Seasonal variability of secondary organic aerosol: A global modeling study
Paleontology
Space and Planetary Science
Earth and Planetary Sciences (miscellaneous)
Atmospheric Science
Earth-Surface Processes
Geochemistry and Petrology
Soil Science
Water Science and Technology
Ecology
Aquatic Science
Forestry
Oceanography
Geophysics
author_sort lack, daniel a.
spelling Lack, Daniel A. Tie, Xuexi X. Bofinger, Neville D. Wiegand, Aaron N. Madronich, Sasha 0148-0227 American Geophysical Union (AGU) Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics http://dx.doi.org/10.1029/2003jd003418 <jats:p>Two secondary organic aerosol (SOA) formation modules have been implemented into a global chemical transport model (Model for Ozone And Related chemical Tracers, Version 2) to estimate the global distribution of SOA and to compare between methods. The first SOA model is based on bulk smog chamber yields while the second uses the gas to particle partitioning theory to predict SOA concentrations. Maximum SOA concentrations using the bulk yield method were found to vary up to 10 μg/m<jats:sup>3</jats:sup> with concentrations peaking over the southeast United States, Europe, South America, central Africa, and southern Asia. Maximum SOA concentrations were found over the Northern Hemisphere (NH) and tropics in June while SOA concentrations in the tropics remained high through December. SOA production was found to be dependant on oxidant availability rather than volatile organic compound emissions in South America and Asia. Using the partitioning model, SOA concentrations peaked at 10 μg/m<jats:sup>3</jats:sup> over South America in September related to organic carbon aerosol availability. The partitioning model produced significantly less SOA during the NH summer, and SOA production was found to be dependant on organic carbon primary aerosol and oxidant availability for South America and Asia. The total annual global production of SOA was calculated to be 24.6 Tg/yr using the bulk yield method and 15.3 Tg/yr using the partitioning method.</jats:p> Seasonal variability of secondary organic aerosol: A global modeling study Journal of Geophysical Research: Atmospheres
doi_str_mv 10.1029/2003jd003418
facet_avail Online
Free
finc_class_facet Biologie
Allgemeine Naturwissenschaft
Physik
Technik
Geologie und Paläontologie
Geographie
Chemie und Pharmazie
Land- und Forstwirtschaft, Gartenbau, Fischereiwirtschaft, Hauswirtschaft
format ElectronicArticle
fullrecord blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAyOS8yMDAzamQwMDM0MTg
id ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAyOS8yMDAzamQwMDM0MTg
institution DE-Brt1
DE-Zwi2
DE-D161
DE-Zi4
DE-Gla1
DE-15
DE-Pl11
DE-Rs1
DE-14
DE-105
DE-Ch1
DE-L229
DE-D275
DE-Bn3
imprint American Geophysical Union (AGU), 2004
imprint_str_mv American Geophysical Union (AGU), 2004
issn 0148-0227
issn_str_mv 0148-0227
language English
mega_collection American Geophysical Union (AGU) (CrossRef)
match_str lack2004seasonalvariabilityofsecondaryorganicaerosolaglobalmodelingstudy
publishDateSort 2004
publisher American Geophysical Union (AGU)
recordtype ai
record_format ai
series Journal of Geophysical Research: Atmospheres
source_id 49
title Seasonal variability of secondary organic aerosol: A global modeling study
title_unstemmed Seasonal variability of secondary organic aerosol: A global modeling study
title_full Seasonal variability of secondary organic aerosol: A global modeling study
title_fullStr Seasonal variability of secondary organic aerosol: A global modeling study
title_full_unstemmed Seasonal variability of secondary organic aerosol: A global modeling study
title_short Seasonal variability of secondary organic aerosol: A global modeling study
title_sort seasonal variability of secondary organic aerosol: a global modeling study
topic Paleontology
Space and Planetary Science
Earth and Planetary Sciences (miscellaneous)
Atmospheric Science
Earth-Surface Processes
Geochemistry and Petrology
Soil Science
Water Science and Technology
Ecology
Aquatic Science
Forestry
Oceanography
Geophysics
url http://dx.doi.org/10.1029/2003jd003418
publishDate 2004
physical
description <jats:p>Two secondary organic aerosol (SOA) formation modules have been implemented into a global chemical transport model (Model for Ozone And Related chemical Tracers, Version 2) to estimate the global distribution of SOA and to compare between methods. The first SOA model is based on bulk smog chamber yields while the second uses the gas to particle partitioning theory to predict SOA concentrations. Maximum SOA concentrations using the bulk yield method were found to vary up to 10 μg/m<jats:sup>3</jats:sup> with concentrations peaking over the southeast United States, Europe, South America, central Africa, and southern Asia. Maximum SOA concentrations were found over the Northern Hemisphere (NH) and tropics in June while SOA concentrations in the tropics remained high through December. SOA production was found to be dependant on oxidant availability rather than volatile organic compound emissions in South America and Asia. Using the partitioning model, SOA concentrations peaked at 10 μg/m<jats:sup>3</jats:sup> over South America in September related to organic carbon aerosol availability. The partitioning model produced significantly less SOA during the NH summer, and SOA production was found to be dependant on organic carbon primary aerosol and oxidant availability for South America and Asia. The total annual global production of SOA was calculated to be 24.6 Tg/yr using the bulk yield method and 15.3 Tg/yr using the partitioning method.</jats:p>
container_issue D3
container_start_page 0
container_title Journal of Geophysical Research: Atmospheres
container_volume 109
format_de105 Article, E-Article
format_de14 Article, E-Article
format_de15 Article, E-Article
format_de520 Article, E-Article
format_de540 Article, E-Article
format_dech1 Article, E-Article
format_ded117 Article, E-Article
format_degla1 E-Article
format_del152 Buch
format_del189 Article, E-Article
format_dezi4 Article
format_dezwi2 Article, E-Article
format_finc Article, E-Article
format_nrw Article, E-Article
_version_ 1792342495615516685
geogr_code not assigned
last_indexed 2024-03-01T16:36:42.2Z
geogr_code_person not assigned
openURL url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=Seasonal+variability+of+secondary+organic+aerosol%3A+A+global+modeling+study&rft.date=2004-02-16&genre=article&issn=0148-0227&volume=109&issue=D3&jtitle=Journal+of+Geophysical+Research%3A+Atmospheres&atitle=Seasonal+variability+of+secondary+organic+aerosol%3A+A+global+modeling+study&aulast=Madronich&aufirst=Sasha&rft_id=info%3Adoi%2F10.1029%2F2003jd003418&rft.language%5B0%5D=eng
SOLR
_version_ 1792342495615516685
author Lack, Daniel A., Tie, Xuexi X., Bofinger, Neville D., Wiegand, Aaron N., Madronich, Sasha
author_facet Lack, Daniel A., Tie, Xuexi X., Bofinger, Neville D., Wiegand, Aaron N., Madronich, Sasha, Lack, Daniel A., Tie, Xuexi X., Bofinger, Neville D., Wiegand, Aaron N., Madronich, Sasha
author_sort lack, daniel a.
container_issue D3
container_start_page 0
container_title Journal of Geophysical Research: Atmospheres
container_volume 109
description <jats:p>Two secondary organic aerosol (SOA) formation modules have been implemented into a global chemical transport model (Model for Ozone And Related chemical Tracers, Version 2) to estimate the global distribution of SOA and to compare between methods. The first SOA model is based on bulk smog chamber yields while the second uses the gas to particle partitioning theory to predict SOA concentrations. Maximum SOA concentrations using the bulk yield method were found to vary up to 10 μg/m<jats:sup>3</jats:sup> with concentrations peaking over the southeast United States, Europe, South America, central Africa, and southern Asia. Maximum SOA concentrations were found over the Northern Hemisphere (NH) and tropics in June while SOA concentrations in the tropics remained high through December. SOA production was found to be dependant on oxidant availability rather than volatile organic compound emissions in South America and Asia. Using the partitioning model, SOA concentrations peaked at 10 μg/m<jats:sup>3</jats:sup> over South America in September related to organic carbon aerosol availability. The partitioning model produced significantly less SOA during the NH summer, and SOA production was found to be dependant on organic carbon primary aerosol and oxidant availability for South America and Asia. The total annual global production of SOA was calculated to be 24.6 Tg/yr using the bulk yield method and 15.3 Tg/yr using the partitioning method.</jats:p>
doi_str_mv 10.1029/2003jd003418
facet_avail Online, Free
finc_class_facet Biologie, Allgemeine Naturwissenschaft, Physik, Technik, Geologie und Paläontologie, Geographie, Chemie und Pharmazie, Land- und Forstwirtschaft, Gartenbau, Fischereiwirtschaft, Hauswirtschaft
format ElectronicArticle
format_de105 Article, E-Article
format_de14 Article, E-Article
format_de15 Article, E-Article
format_de520 Article, E-Article
format_de540 Article, E-Article
format_dech1 Article, E-Article
format_ded117 Article, E-Article
format_degla1 E-Article
format_del152 Buch
format_del189 Article, E-Article
format_dezi4 Article
format_dezwi2 Article, E-Article
format_finc Article, E-Article
format_nrw Article, E-Article
geogr_code not assigned
geogr_code_person not assigned
id ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAyOS8yMDAzamQwMDM0MTg
imprint American Geophysical Union (AGU), 2004
imprint_str_mv American Geophysical Union (AGU), 2004
institution DE-Brt1, DE-Zwi2, DE-D161, DE-Zi4, DE-Gla1, DE-15, DE-Pl11, DE-Rs1, DE-14, DE-105, DE-Ch1, DE-L229, DE-D275, DE-Bn3
issn 0148-0227
issn_str_mv 0148-0227
language English
last_indexed 2024-03-01T16:36:42.2Z
match_str lack2004seasonalvariabilityofsecondaryorganicaerosolaglobalmodelingstudy
mega_collection American Geophysical Union (AGU) (CrossRef)
physical
publishDate 2004
publishDateSort 2004
publisher American Geophysical Union (AGU)
record_format ai
recordtype ai
series Journal of Geophysical Research: Atmospheres
source_id 49
spelling Lack, Daniel A. Tie, Xuexi X. Bofinger, Neville D. Wiegand, Aaron N. Madronich, Sasha 0148-0227 American Geophysical Union (AGU) Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics http://dx.doi.org/10.1029/2003jd003418 <jats:p>Two secondary organic aerosol (SOA) formation modules have been implemented into a global chemical transport model (Model for Ozone And Related chemical Tracers, Version 2) to estimate the global distribution of SOA and to compare between methods. The first SOA model is based on bulk smog chamber yields while the second uses the gas to particle partitioning theory to predict SOA concentrations. Maximum SOA concentrations using the bulk yield method were found to vary up to 10 μg/m<jats:sup>3</jats:sup> with concentrations peaking over the southeast United States, Europe, South America, central Africa, and southern Asia. Maximum SOA concentrations were found over the Northern Hemisphere (NH) and tropics in June while SOA concentrations in the tropics remained high through December. SOA production was found to be dependant on oxidant availability rather than volatile organic compound emissions in South America and Asia. Using the partitioning model, SOA concentrations peaked at 10 μg/m<jats:sup>3</jats:sup> over South America in September related to organic carbon aerosol availability. The partitioning model produced significantly less SOA during the NH summer, and SOA production was found to be dependant on organic carbon primary aerosol and oxidant availability for South America and Asia. The total annual global production of SOA was calculated to be 24.6 Tg/yr using the bulk yield method and 15.3 Tg/yr using the partitioning method.</jats:p> Seasonal variability of secondary organic aerosol: A global modeling study Journal of Geophysical Research: Atmospheres
spellingShingle Lack, Daniel A., Tie, Xuexi X., Bofinger, Neville D., Wiegand, Aaron N., Madronich, Sasha, Journal of Geophysical Research: Atmospheres, Seasonal variability of secondary organic aerosol: A global modeling study, Paleontology, Space and Planetary Science, Earth and Planetary Sciences (miscellaneous), Atmospheric Science, Earth-Surface Processes, Geochemistry and Petrology, Soil Science, Water Science and Technology, Ecology, Aquatic Science, Forestry, Oceanography, Geophysics
title Seasonal variability of secondary organic aerosol: A global modeling study
title_full Seasonal variability of secondary organic aerosol: A global modeling study
title_fullStr Seasonal variability of secondary organic aerosol: A global modeling study
title_full_unstemmed Seasonal variability of secondary organic aerosol: A global modeling study
title_short Seasonal variability of secondary organic aerosol: A global modeling study
title_sort seasonal variability of secondary organic aerosol: a global modeling study
title_unstemmed Seasonal variability of secondary organic aerosol: A global modeling study
topic Paleontology, Space and Planetary Science, Earth and Planetary Sciences (miscellaneous), Atmospheric Science, Earth-Surface Processes, Geochemistry and Petrology, Soil Science, Water Science and Technology, Ecology, Aquatic Science, Forestry, Oceanography, Geophysics
url http://dx.doi.org/10.1029/2003jd003418