Oceanic emissions of dimethyl sulfide and methanethiol and their contribution to sulfur dioxide production in the marine atmosphere

Oceanic emissions of dimethyl sulfide (CH.sub.3 SCH.sub.3, DMS) have long been recognized to impact aerosol particle composition and size, the concentration of cloud condensation nuclei (CCN), and Earth's radiation balance. The impact of oceanic emissions of methanethiol (CH.sub.3 SH, MeSH), wh...

Full description

Saved in:
Bibliographic Details
Published in:Atmospheric chemistry and physics Vol. 22; no. 9; pp. 6309 - 6325
Main Authors: Novak, Gordon A, Kilgour, Delaney B, Jernigan, Christopher M, Vermeuel, Michael P, Bertram, Timothy H
Format: Journal Article
Language:English
Published: Katlenburg-Lindau Copernicus GmbH 17-05-2022
Copernicus Publications
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract Oceanic emissions of dimethyl sulfide (CH.sub.3 SCH.sub.3, DMS) have long been recognized to impact aerosol particle composition and size, the concentration of cloud condensation nuclei (CCN), and Earth's radiation balance. The impact of oceanic emissions of methanethiol (CH.sub.3 SH, MeSH), which is produced by the same oceanic precursor as DMS, on the volatile sulfur budget of the marine atmosphere is largely unconstrained. Here we present direct flux measurements of MeSH oceanic emissions using the eddy covariance (EC) method with a high-resolution proton-transfer-reaction time-of-flight mass spectrometer (PTR-ToFMS) detector and compare them to simultaneous flux measurements of DMS emissions from a coastal ocean site. Campaign mean mixing ratios of DMS and MeSH were 72 ppt (28-90 ppt interquartile range) and 19.1 ppt (7.6-24.5 ppt interquartile range), respectively. Campaign mean emission fluxes of DMS (F.sub.DMS) and MeSH (F.sub.MeSH) were 1.13 ppt m s.sup.-1 (0.53-1.61 ppt m s.sup.-1 interquartile range) and 0.21 ppt m s.sup.-1 (0.10-0.31 ppt m s.sup.-1 interquartile range), respectively. Linear least squares regression of observed MeSH and DMS flux indicates the emissions are highly correlated with each other (R.sup.2 =0.65) over the course of the campaign, consistent with a shared oceanic source. The campaign mean DMS to MeSH flux ratio (F.sub.DMS :F.sub.MeSH) was 5.5 ± 3.0, calculated from the ratio of 304 individual coincident measurements of F.sub.DMS and F.sub.MeSH . Measured F.sub.DMS :F.sub.MeSH was weakly correlated (R.sup.2 =0.15) with ocean chlorophyll concentrations, with F.sub.DMS :F.sub.MeSH reaching a maximum of 10.8 ± 4.4 during a phytoplankton bloom period. No other volatile sulfur compounds were observed by PTR-ToFMS to have a resolvable emission flux above their flux limit of detection or to have a gas-phase mixing ratio consistently above their limit of detection during the study period, suggesting DMS and MeSH are the dominant volatile organic sulfur compounds emitted from the ocean at this site.
AbstractList Oceanic emissions of dimethyl sulfide (CH3SCH3, DMS) have long been recognized to impact aerosol particle composition and size, the concentration of cloud condensation nuclei (CCN), and Earth's radiation balance. The impact of oceanic emissions of methanethiol (CH3SH, MeSH), which is produced by the same oceanic precursor as DMS, on the volatile sulfur budget of the marine atmosphere is largely unconstrained. Here we present direct flux measurements of MeSH oceanic emissions using the eddy covariance (EC) method with a high-resolution proton-transfer-reaction time-of-flight mass spectrometer (PTR-ToFMS) detector and compare them to simultaneous flux measurements of DMS emissions from a coastal ocean site. Campaign mean mixing ratios of DMS and MeSH were 72 ppt (28–90 ppt interquartile range) and 19.1 ppt (7.6–24.5 ppt interquartile range), respectively. Campaign mean emission fluxes of DMS (FDMS) and MeSH (FMeSH) were 1.13 ppt m s-1 (0.53–1.61 ppt m s-1 interquartile range) and 0.21 ppt m s-1 (0.10–0.31 ppt m s-1 interquartile range), respectively. Linear least squares regression of observed MeSH and DMS flux indicates the emissions are highly correlated with each other (R2=0.65) over the course of the campaign, consistent with a shared oceanic source. The campaign mean DMS to MeSH flux ratio (FDMS:FMeSH) was 5.5 ± 3.0, calculated from the ratio of 304 individual coincident measurements of FDMS and FMeSH. Measured FDMS:FMeSH was weakly correlated (R2=0.15) with ocean chlorophyll concentrations, with FDMS:FMeSH reaching a maximum of 10.8 ± 4.4 during a phytoplankton bloom period. No other volatile sulfur compounds were observed by PTR-ToFMS to have a resolvable emission flux above their flux limit of detection or to have a gas-phase mixing ratio consistently above their limit of detection during the study period, suggesting DMS and MeSH are the dominant volatile organic sulfur compounds emitted from the ocean at this site.The impact of this MeSH emission source on atmospheric budgets of sulfur dioxide (SO2) was evaluated by implementing observed emissions in a coupled ocean–atmosphere chemical box model using a newly compiled MeSH oxidation mechanism. Model results suggest that MeSH emissions lead to afternoon instantaneous SO2 production of 2.5 ppt h-1, which results in a 43 % increase in total SO2 production compared to a case where only DMS emissions are considered and accounts for 30% of the instantaneous SO2 production in the marine boundary layer at the mean measured FDMS and FMeSH. This contribution of MeSH to SO2 production is driven by a higher effective yield of SO2 from MeSH oxidation and the shorter oxidation lifetime of MeSH compared to DMS. This large additional source of marine SO2 has not been previously considered in global models of marine sulfur cycling. The field measurements and modeling results presented here demonstrate that MeSH is an important contributor to volatile sulfur budgets in the marine atmosphere and must be measured along with DMS in order to constrain marine sulfur budgets. This large additional source of marine–reduced sulfur from MeSH will contribute to particle formation and growth and CCN abundance in the marine atmosphere, with subsequent impacts on climate.
Oceanic emissions of dimethyl sulfide (CH3SCH3, DMS) have long been recognized to impact aerosol particle composition and size, the concentration of cloud condensation nuclei (CCN), and Earth's radiation balance. The impact of oceanic emissions of methanethiol (CH3SH, MeSH), which is produced by the same oceanic precursor as DMS, on the volatile sulfur budget of the marine atmosphere is largely unconstrained. Here we present direct flux measurements of MeSH oceanic emissions using the eddy covariance (EC) method with a high-resolution proton-transfer-reaction time-of-flight mass spectrometer (PTR-ToFMS) detector and compare them to simultaneous flux measurements of DMS emissions from a coastal ocean site. Campaign mean mixing ratios of DMS and MeSH were 72 ppt (28–90 ppt interquartile range) and 19.1 ppt (7.6–24.5 ppt interquartile range), respectively. Campaign mean emission fluxes of DMS (FDMS) and MeSH (FMeSH) were 1.13 ppt m s−1 (0.53–1.61 ppt m s−1 interquartile range) and 0.21 ppt m s−1 (0.10–0.31 ppt m s−1 interquartile range), respectively. Linear least squares regression of observed MeSH and DMS flux indicates the emissions are highly correlated with each other (R2=0.65) over the course of the campaign, consistent with a shared oceanic source. The campaign mean DMS to MeSH flux ratio (FDMS:FMeSH) was 5.5 ± 3.0, calculated from the ratio of 304 individual coincident measurements of FDMS and FMeSH. Measured FDMS:FMeSH was weakly correlated (R2=0.15) with ocean chlorophyll concentrations, with FDMS:FMeSH reaching a maximum of 10.8 ± 4.4 during a phytoplankton bloom period. No other volatile sulfur compounds were observed by PTR-ToFMS to have a resolvable emission flux above their flux limit of detection or to have a gas-phase mixing ratio consistently above their limit of detection during the study period, suggesting DMS and MeSH are the dominant volatile organic sulfur compounds emitted from the ocean at this site. The impact of this MeSH emission source on atmospheric budgets of sulfur dioxide (SO2) was evaluated by implementing observed emissions in a coupled ocean–atmosphere chemical box model using a newly compiled MeSH oxidation mechanism. Model results suggest that MeSH emissions lead to afternoon instantaneous SO2 production of 2.5 ppt h−1, which results in a 43 % increase in total SO2 production compared to a case where only DMS emissions are considered and accounts for 30% of the instantaneous SO2 production in the marine boundary layer at the mean measured FDMS and FMeSH. This contribution of MeSH to SO2 production is driven by a higher effective yield of SO2 from MeSH oxidation and the shorter oxidation lifetime of MeSH compared to DMS. This large additional source of marine SO2 has not been previously considered in global models of marine sulfur cycling. The field measurements and modeling results presented here demonstrate that MeSH is an important contributor to volatile sulfur budgets in the marine atmosphere and must be measured along with DMS in order to constrain marine sulfur budgets. This large additional source of marine–reduced sulfur from MeSH will contribute to particle formation and growth and CCN abundance in the marine atmosphere, with subsequent impacts on climate.
Oceanic emissions of dimethyl sulfide (CH 3 SCH 3 , DMS) have long been recognized to impact aerosol particle composition and size, the concentration of cloud condensation nuclei (CCN), and Earth's radiation balance. The impact of oceanic emissions of methanethiol (CH 3 SH, MeSH), which is produced by the same oceanic precursor as DMS, on the volatile sulfur budget of the marine atmosphere is largely unconstrained. Here we present direct flux measurements of MeSH oceanic emissions using the eddy covariance (EC) method with a high-resolution proton-transfer-reaction time-of-flight mass spectrometer (PTR-ToFMS) detector and compare them to simultaneous flux measurements of DMS emissions from a coastal ocean site. Campaign mean mixing ratios of DMS and MeSH were 72 ppt (28–90 ppt interquartile range) and 19.1 ppt (7.6–24.5 ppt interquartile range), respectively. Campaign mean emission fluxes of DMS ( FDMS ) and MeSH ( FMeSH ) were 1.13 ppt m s −1 (0.53–1.61 ppt m s −1 interquartile range) and 0.21 ppt m s −1 (0.10–0.31 ppt m s −1 interquartile range), respectively. Linear least squares regression of observed MeSH and DMS flux indicates the emissions are highly correlated with each other ( R2=0.65 ) over the course of the campaign, consistent with a shared oceanic source. The campaign mean DMS to MeSH flux ratio ( FDMS:FMeSH ) was 5.5  ±  3.0, calculated from the ratio of 304 individual coincident measurements of FDMS and FMeSH . Measured FDMS:FMeSH was weakly correlated ( R2=0.15 ) with ocean chlorophyll concentrations, with FDMS:FMeSH reaching a maximum of 10.8  ±  4.4 during a phytoplankton bloom period. No other volatile sulfur compounds were observed by PTR-ToFMS to have a resolvable emission flux above their flux limit of detection or to have a gas-phase mixing ratio consistently above their limit of detection during the study period, suggesting DMS and MeSH are the dominant volatile organic sulfur compounds emitted from the ocean at this site. The impact of this MeSH emission source on atmospheric budgets of sulfur dioxide (SO 2 ) was evaluated by implementing observed emissions in a coupled ocean–atmosphere chemical box model using a newly compiled MeSH oxidation mechanism. Model results suggest that MeSH emissions lead to afternoon instantaneous SO 2 production of 2.5 ppt h −1 , which results in a 43 % increase in total SO 2 production compared to a case where only DMS emissions are considered and accounts for 30% of the instantaneous SO 2 production in the marine boundary layer at the mean measured FDMS and FMeSH . This contribution of MeSH to SO 2 production is driven by a higher effective yield of SO 2 from MeSH oxidation and the shorter oxidation lifetime of MeSH compared to DMS. This large additional source of marine SO 2 has not been previously considered in global models of marine sulfur cycling. The field measurements and modeling results presented here demonstrate that MeSH is an important contributor to volatile sulfur budgets in the marine atmosphere and must be measured along with DMS in order to constrain marine sulfur budgets. This large additional source of marine–reduced sulfur from MeSH will contribute to particle formation and growth and CCN abundance in the marine atmosphere, with subsequent impacts on climate.
Oceanic emissions of dimethyl sulfide (CH.sub.3 SCH.sub.3, DMS) have long been recognized to impact aerosol particle composition and size, the concentration of cloud condensation nuclei (CCN), and Earth's radiation balance. The impact of oceanic emissions of methanethiol (CH.sub.3 SH, MeSH), which is produced by the same oceanic precursor as DMS, on the volatile sulfur budget of the marine atmosphere is largely unconstrained. Here we present direct flux measurements of MeSH oceanic emissions using the eddy covariance (EC) method with a high-resolution proton-transfer-reaction time-of-flight mass spectrometer (PTR-ToFMS) detector and compare them to simultaneous flux measurements of DMS emissions from a coastal ocean site. Campaign mean mixing ratios of DMS and MeSH were 72 ppt (28-90 ppt interquartile range) and 19.1 ppt (7.6-24.5 ppt interquartile range), respectively. Campaign mean emission fluxes of DMS (F.sub.DMS) and MeSH (F.sub.MeSH) were 1.13 ppt m s.sup.-1 (0.53-1.61 ppt m s.sup.-1 interquartile range) and 0.21 ppt m s.sup.-1 (0.10-0.31 ppt m s.sup.-1 interquartile range), respectively. Linear least squares regression of observed MeSH and DMS flux indicates the emissions are highly correlated with each other (R.sup.2 =0.65) over the course of the campaign, consistent with a shared oceanic source. The campaign mean DMS to MeSH flux ratio (F.sub.DMS :F.sub.MeSH) was 5.5 ± 3.0, calculated from the ratio of 304 individual coincident measurements of F.sub.DMS and F.sub.MeSH . Measured F.sub.DMS :F.sub.MeSH was weakly correlated (R.sup.2 =0.15) with ocean chlorophyll concentrations, with F.sub.DMS :F.sub.MeSH reaching a maximum of 10.8 ± 4.4 during a phytoplankton bloom period. No other volatile sulfur compounds were observed by PTR-ToFMS to have a resolvable emission flux above their flux limit of detection or to have a gas-phase mixing ratio consistently above their limit of detection during the study period, suggesting DMS and MeSH are the dominant volatile organic sulfur compounds emitted from the ocean at this site. The impact of this MeSH emission source on atmospheric budgets of sulfur dioxide (SO.sub.2) was evaluated by implementing observed emissions in a coupled ocean-atmosphere chemical box model using a newly compiled MeSH oxidation mechanism. Model results suggest that MeSH emissions lead to afternoon instantaneous SO.sub.2 production of 2.5 ppt h.sup.-1, which results in a 43 % increase in total SO.sub.2 production compared to a case where only DMS emissions are considered and accounts for 30% of the instantaneous SO.sub.2 production in the marine boundary layer at the mean measured F.sub.DMS and F.sub.MeSH . This contribution of MeSH to SO.sub.2 production is driven by a higher effective yield of SO.sub.2 from MeSH oxidation and the shorter oxidation lifetime of MeSH compared to DMS. This large additional source of marine SO.sub.2 has not been previously considered in global models of marine sulfur cycling. The field measurements and modeling results presented here demonstrate that MeSH is an important contributor to volatile sulfur budgets in the marine atmosphere and must be measured along with DMS in order to constrain marine sulfur budgets. This large additional source of marine-reduced sulfur from MeSH will contribute to particle formation and growth and CCN abundance in the marine atmosphere, with subsequent impacts on climate.
Oceanic emissions of dimethyl sulfide (CH.sub.3 SCH.sub.3, DMS) have long been recognized to impact aerosol particle composition and size, the concentration of cloud condensation nuclei (CCN), and Earth's radiation balance. The impact of oceanic emissions of methanethiol (CH.sub.3 SH, MeSH), which is produced by the same oceanic precursor as DMS, on the volatile sulfur budget of the marine atmosphere is largely unconstrained. Here we present direct flux measurements of MeSH oceanic emissions using the eddy covariance (EC) method with a high-resolution proton-transfer-reaction time-of-flight mass spectrometer (PTR-ToFMS) detector and compare them to simultaneous flux measurements of DMS emissions from a coastal ocean site. Campaign mean mixing ratios of DMS and MeSH were 72 ppt (28-90 ppt interquartile range) and 19.1 ppt (7.6-24.5 ppt interquartile range), respectively. Campaign mean emission fluxes of DMS (F.sub.DMS) and MeSH (F.sub.MeSH) were 1.13 ppt m s.sup.-1 (0.53-1.61 ppt m s.sup.-1 interquartile range) and 0.21 ppt m s.sup.-1 (0.10-0.31 ppt m s.sup.-1 interquartile range), respectively. Linear least squares regression of observed MeSH and DMS flux indicates the emissions are highly correlated with each other (R.sup.2 =0.65) over the course of the campaign, consistent with a shared oceanic source. The campaign mean DMS to MeSH flux ratio (F.sub.DMS :F.sub.MeSH) was 5.5 ± 3.0, calculated from the ratio of 304 individual coincident measurements of F.sub.DMS and F.sub.MeSH . Measured F.sub.DMS :F.sub.MeSH was weakly correlated (R.sup.2 =0.15) with ocean chlorophyll concentrations, with F.sub.DMS :F.sub.MeSH reaching a maximum of 10.8 ± 4.4 during a phytoplankton bloom period. No other volatile sulfur compounds were observed by PTR-ToFMS to have a resolvable emission flux above their flux limit of detection or to have a gas-phase mixing ratio consistently above their limit of detection during the study period, suggesting DMS and MeSH are the dominant volatile organic sulfur compounds emitted from the ocean at this site.
Audience Academic
Author Bertram, Timothy H
Jernigan, Christopher M
Vermeuel, Michael P
Novak, Gordon A
Kilgour, Delaney B
Author_xml – sequence: 1
  fullname: Novak, Gordon A
– sequence: 2
  fullname: Kilgour, Delaney B
– sequence: 3
  fullname: Jernigan, Christopher M
– sequence: 4
  fullname: Vermeuel, Michael P
– sequence: 5
  fullname: Bertram, Timothy H
BookMark eNptUslqHDEQbYwDsR3ffWzwKYd2tHarj8ZkGTAYspxFaZvR0CNNJDXYZ_941DMhyUCQkETpvaeq0rtszkMMtmluMLrjeGQfQO87QrqeorEjiJCz5gL3AnUDJez8n_Pb5jLnLUKEI8wumtcnbSF43dqdz9nHkNvoWuN3tmxepjbPk_PGthBMu4Qg1MXH6RAoG-tTq2Moyau5VHJb4oEypyoRnxfmPkUz68OlDwul3UHyoUqWXcz7jU32XfPGwZTt9e_9qvnx6eP3hy_d49Pn1cP9Y6eZQKVzAyeIEQUWGEOMaq4NA4IG4QZmyWipM0IRhSiAFb0gruekx2ZQmrqe9vSqWR11TYSt3CdfM3mREbw8BGJaS0jF68nK5RFlNAY-OEbZCIqzYVRYgFEYcV61bo9atb6fs81FbuOcQk1fkr5n4zLHv6g1VFEfXCwJdO20lvcDYkhgwUhF3f0HVYepn1Lba52v8RPC-xPC8gX2uaxhzlmuvn09xaIjVqeYc7LuT-EYycU5sjpHEiIX58jFOfQX7NS5Aw
CitedBy_id crossref_primary_10_1021_acsearthspacechem_3c00209
crossref_primary_10_5194_acp_24_3729_2024
crossref_primary_10_1073_pnas_2307587120
crossref_primary_10_1021_acs_jpca_3c00558
crossref_primary_10_34133_olar_0027
crossref_primary_10_3390_oceans4020011
crossref_primary_10_1525_elementa_2023_00056
crossref_primary_10_5194_acp_23_6083_2023
crossref_primary_10_5194_bg_20_851_2023
crossref_primary_10_1021_acsestair_3c00112
crossref_primary_10_1021_acs_jpca_2c09095
crossref_primary_10_5194_acp_24_3379_2024
crossref_primary_10_5194_acp_24_4717_2024
crossref_primary_10_1007_s12040_024_02268_5
crossref_primary_10_1016_j_scitotenv_2023_163021
crossref_primary_10_1021_acs_jpca_3c07775
crossref_primary_10_1016_j_jes_2024_06_030
crossref_primary_10_1021_acs_jpca_3c04341
crossref_primary_10_3390_microorganisms10081581
crossref_primary_10_1021_acs_est_3c07120
Cites_doi 10.1038/nmicrobiol.2016.210
10.5194/acp-2021-891
10.1007/978-94-009-3027-8_12
10.1029/2003GL018956
10.1073/pnas.2110472118
10.1073/pnas.1606320113
10.1007/BF00115242
10.5194/gmd-9-3309-2016
10.1029/JD092iD11p13245
10.4319/lo.2000.45.4.0849
10.1021/jp511616j
10.5194/amt-4-1471-2011
10.1029/2001JD000843
10.1021/acs.accounts.0c00095
10.1029/97JD00695
10.5194/acp-8-887-2008
10.1002/kin.550230604
10.1016/S1385-1101(00)00023-X
10.1021/acs.analchem.8b02641
10.1016/j.agrformet.2012.09.006
10.5194/amt-9-1325-2016
10.1073/pnas.1306973110
10.1175/JAS3541.1
10.1038/247181a0
10.5194/acp-10-4611-2010
10.1029/97JD02987
10.1016/S0168-1176(97)00081-5
10.1038/329319a0
10.5194/acp-20-6081-2020
10.5194/amt-13-1887-2020
10.1029/2004GL021567
10.1016/0304-4203(96)00006-0
10.5194/acp-18-15291-2018
10.1007/BF00053934
10.1029/2004JD005462
10.1002/kin.21475
10.1021/cr020529+
10.1016/j.earscirev.2016.06.005
10.1021/acs.jpclett.9b02567
10.1029/2000JD900236
10.1016/0168-1923(95)02248-1
10.5194/acp-14-3789-2014
10.1126/science.1180315
10.1039/c2cs35121h
10.1029/2000JD900252
10.1016/j.atmosenv.2020.117833
10.1002/2017GL072975
10.1038/nature10580
10.1016/j.jes.2017.11.006
10.1021/j100349a006
10.1023/A:1018966204465
10.5194/acp-19-3981-2019
10.5194/acp-22-1601-2022
10.1029/2010GB003850
10.5194/acp-3-161-2003
10.1007/s10874-012-9215-8
10.1021/acs.accounts.7b00536
10.1016/0304-4203(90)90059-L
10.5194/bg-15-3497-2018
10.1021/acs.jpca.1c06900
10.1016/j.atmosenv.2009.02.043
10.5194/acp-20-3061-2020
10.1007/s10874-010-9155-0
10.1128/AEM.68.12.5804-5815.2002
10.5194/acp-6-1513-2006
10.1073/pnas.1919344117
10.1038/326655a0
10.1029/JC092iC03p02930
10.1007/s10874-010-9177-7
10.1126/science.aaf7796
10.1029/2006JD007293
10.5194/acp-9-8745-2009
10.1016/S1352-2310(96)00105-7
10.1016/S0016-7037(00)00399-9
10.1029/2000JD900630
10.1073/pnas.1318694111
10.1021/jp9914828
10.1021/acs.est.0c04323
10.1038/nature12674
ContentType Journal Article
Copyright COPYRIGHT 2022 Copernicus GmbH
2022. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: COPYRIGHT 2022 Copernicus GmbH
– notice: 2022. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID AAYXX
CITATION
ISR
7QH
7TG
7TN
7UA
8FD
8FE
8FG
ABUWG
AFKRA
ARAPS
ATCPS
AZQEC
BENPR
BFMQW
BGLVJ
BHPHI
BKSAR
C1K
CCPQU
DWQXO
F1W
GNUQQ
H8D
H96
HCIFZ
KL.
L.G
L7M
P5Z
P62
PATMY
PCBAR
PIMPY
PQEST
PQQKQ
PQUKI
PYCSY
DOA
DOI 10.5194/acp-22-6309-2022
DatabaseName CrossRef
Gale In Context: Science
Aqualine
Meteorological & Geoastrophysical Abstracts
Oceanic Abstracts
Water Resources Abstracts
Technology Research Database
ProQuest SciTech Collection
ProQuest Technology Collection
ProQuest Central (Alumni)
ProQuest Central
Advanced Technologies & Aerospace Collection
Agricultural & Environmental Science Collection
ProQuest Central Essentials
ProQuest Central
Continental Europe Database
Technology Collection
Natural Science Collection
Earth, Atmospheric & Aquatic Science Database
Environmental Sciences and Pollution Management
ProQuest One Community College
ProQuest Central Korea
ASFA: Aquatic Sciences and Fisheries Abstracts
ProQuest Central Student
Aerospace Database
Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources
SciTech Premium Collection
Meteorological & Geoastrophysical Abstracts - Academic
Aquatic Science & Fisheries Abstracts (ASFA) Professional
Advanced Technologies Database with Aerospace
Advanced Technologies & Aerospace Database
ProQuest Advanced Technologies & Aerospace Collection
Environmental Science Database
Earth, Atmospheric & Aquatic Science Database
Publicly Available Content Database
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
Environmental Science Collection
Directory of Open Access Journals
DatabaseTitle CrossRef
Publicly Available Content Database
Aquatic Science & Fisheries Abstracts (ASFA) Professional
ProQuest Central Student
Technology Collection
Technology Research Database
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Essentials
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
Water Resources Abstracts
Environmental Sciences and Pollution Management
Earth, Atmospheric & Aquatic Science Collection
ProQuest Central
Aerospace Database
Meteorological & Geoastrophysical Abstracts
Oceanic Abstracts
Natural Science Collection
ProQuest Central Korea
Agricultural & Environmental Science Collection
Advanced Technologies Database with Aerospace
Advanced Technologies & Aerospace Collection
ProQuest One Academic Eastern Edition
Earth, Atmospheric & Aquatic Science Database
ProQuest Technology Collection
Continental Europe Database
ProQuest SciTech Collection
Aqualine
Environmental Science Collection
Advanced Technologies & Aerospace Database
Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources
ProQuest One Academic UKI Edition
ASFA: Aquatic Sciences and Fisheries Abstracts
Environmental Science Database
ProQuest One Academic
Meteorological & Geoastrophysical Abstracts - Academic
DatabaseTitleList Publicly Available Content Database
CrossRef




Database_xml – sequence: 1
  dbid: DOA
  name: Directory of Open Access Journals
  url: http://www.doaj.org/
  sourceTypes: Open Website
DeliveryMethod fulltext_linktorsrc
Discipline Meteorology & Climatology
EISSN 1680-7324
EndPage 6325
ExternalDocumentID oai_doaj_org_article_baeabdc1a57f4349ab5479b18adb1055
A704081842
10_5194_acp_22_6309_2022
GroupedDBID 23N
2WC
3V.
4P2
5GY
5VS
6J9
7XC
8FE
8FG
8FH
8R4
8R5
AAFWJ
AAYXX
ABUWG
ACGFO
ADBBV
AENEX
AFKRA
AFPKN
AFRAH
AHGZY
AIAGR
ALMA_UNASSIGNED_HOLDINGS
ARAPS
ATCPS
BBORY
BCNDV
BENPR
BFMQW
BGLVJ
BHPHI
BKSAR
BPHCQ
CCPQU
CITATION
D1K
E3Z
EBS
EDH
EJD
FD6
GROUPED_DOAJ
GX1
H13
HCIFZ
HH5
IAO
IEA
ISR
ITC
K6-
KQ8
M~E
OK1
P2P
P62
PATMY
PCBAR
PIMPY
PQQKQ
PROAC
PYCSY
Q2X
RIG
RKB
RNS
TR2
XSB
~02
7QH
7TG
7TN
7UA
8FD
AZQEC
C1K
DWQXO
F1W
GNUQQ
H8D
H96
KL.
L.G
L7M
PQEST
PQUKI
ID FETCH-LOGICAL-c480t-f752042baea44043c5cd4a2078f74e29e3fd8b2b03aae8682f65261d7bc3f6363
IEDL.DBID DOA
ISSN 1680-7324
1680-7316
IngestDate Tue Oct 22 15:15:50 EDT 2024
Fri Nov 08 23:24:38 EST 2024
Tue Nov 19 21:02:56 EST 2024
Tue Nov 12 23:01:16 EST 2024
Thu Aug 01 19:53:16 EDT 2024
Fri Aug 23 01:21:30 EDT 2024
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 9
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c480t-f752042baea44043c5cd4a2078f74e29e3fd8b2b03aae8682f65261d7bc3f6363
ORCID 0000-0003-4009-039X
0000-0002-0435-9665
0000-0002-3026-7588
OpenAccessLink https://doaj.org/article/baeabdc1a57f4349ab5479b18adb1055
PQID 2664964969
PQPubID 105744
PageCount 17
ParticipantIDs doaj_primary_oai_doaj_org_article_baeabdc1a57f4349ab5479b18adb1055
proquest_journals_2664964969
gale_infotracmisc_A704081842
gale_infotracacademiconefile_A704081842
gale_incontextgauss_ISR_A704081842
crossref_primary_10_5194_acp_22_6309_2022
PublicationCentury 2000
PublicationDate 2022-05-17
PublicationDateYYYYMMDD 2022-05-17
PublicationDate_xml – month: 05
  year: 2022
  text: 2022-05-17
  day: 17
PublicationDecade 2020
PublicationPlace Katlenburg-Lindau
PublicationPlace_xml – name: Katlenburg-Lindau
PublicationTitle Atmospheric chemistry and physics
PublicationYear 2022
Publisher Copernicus GmbH
Copernicus Publications
Publisher_xml – name: Copernicus GmbH
– name: Copernicus Publications
References ref13
ref57
ref12
ref56
ref15
ref59
ref14
ref58
ref53
ref52
ref11
ref55
ref10
ref54
ref17
ref16
ref19
ref18
ref51
ref50
ref46
ref45
ref48
ref47
ref42
ref41
ref44
ref43
ref49
ref8
ref7
ref9
ref4
ref3
ref6
ref5
ref40
ref80
ref35
ref79
ref34
ref78
ref37
ref36
ref31
ref75
ref30
ref74
ref33
ref77
ref32
ref76
ref2
ref1
ref39
ref38
ref71
ref70
ref73
ref72
ref24
ref68
ref23
ref67
ref26
ref25
ref69
ref20
ref64
ref63
ref22
ref66
ref21
ref65
ref28
ref27
ref29
ref60
ref62
ref61
References_xml – ident: ref68
  doi: 10.1038/nmicrobiol.2016.210
– ident: ref55
  doi: 10.5194/acp-2021-891
– ident: ref67
  doi: 10.1007/978-94-009-3027-8_12
– ident: ref60
  doi: 10.1029/2003GL018956
– ident: ref54
  doi: 10.1073/pnas.2110472118
– ident: ref27
  doi: 10.1073/pnas.1606320113
– ident: ref7
  doi: 10.1007/BF00115242
– ident: ref77
  doi: 10.5194/gmd-9-3309-2016
– ident: ref9
  doi: 10.1029/JD092iD11p13245
– ident: ref33
  doi: 10.4319/lo.2000.45.4.0849
– ident: ref79
  doi: 10.1021/jp511616j
– ident: ref11
  doi: 10.5194/amt-4-1471-2011
– ident: ref46
  doi: 10.1029/2001JD000843
– ident: ref52
  doi: 10.1021/acs.accounts.0c00095
– ident: ref10
  doi: 10.1029/97JD00695
– ident: ref62
  doi: 10.5194/acp-8-887-2008
– ident: ref70
  doi: 10.1002/kin.550230604
– ident: ref35
  doi: 10.1016/S1385-1101(00)00023-X
– ident: ref39
  doi: 10.1021/acs.analchem.8b02641
– ident: ref51
  doi: 10.1016/j.agrformet.2012.09.006
– ident: ref56
  doi: 10.5194/amt-9-1325-2016
– ident: ref64
  doi: 10.1073/pnas.1306973110
– ident: ref22
  doi: 10.1175/JAS3541.1
– ident: ref45
  doi: 10.1038/247181a0
– ident: ref47
  doi: 10.5194/acp-10-4611-2010
– ident: ref18
  doi: 10.1029/97JD02987
– ident: ref76
  doi: 10.1016/S0168-1176(97)00081-5
– ident: ref5
  doi: 10.1038/329319a0
– ident: ref20
  doi: 10.5194/acp-20-6081-2020
– ident: ref53
  doi: 10.5194/amt-13-1887-2020
– ident: ref28
  doi: 10.1029/2004GL021567
– ident: ref32
  doi: 10.1016/0304-4203(96)00006-0
– ident: ref57
  doi: 10.5194/acp-18-15291-2018
– ident: ref43
  doi: 10.1007/BF00053934
– ident: ref2
  doi: 10.1029/2004JD005462
– ident: ref13
  doi: 10.1002/kin.21475
– ident: ref4
  doi: 10.1021/cr020529+
– ident: ref44
  doi: 10.1016/j.earscirev.2016.06.005
– ident: ref8
  doi: 10.1021/acs.jpclett.9b02567
– ident: ref65
  doi: 10.1029/2000JD900236
– ident: ref24
  doi: 10.1016/0168-1923(95)02248-1
– ident: ref59
  doi: 10.5194/acp-14-3789-2014
– ident: ref66
  doi: 10.1126/science.1180315
– ident: ref14
  doi: 10.1039/c2cs35121h
– ident: ref30
  doi: 10.1029/2000JD900252
– ident: ref48
  doi: 10.1016/j.atmosenv.2020.117833
– ident: ref38
  doi: 10.1002/2017GL072975
– ident: ref58
  doi: 10.1038/nature10580
– ident: ref74
  doi: 10.1016/j.jes.2017.11.006
– ident: ref69
  doi: 10.1021/j100349a006
– ident: ref75
  doi: 10.1023/A:1018966204465
– ident: ref73
  doi: 10.5194/acp-19-3981-2019
– ident: ref36
  doi: 10.5194/acp-22-1601-2022
– ident: ref41
  doi: 10.1029/2010GB003850
– ident: ref63
  doi: 10.5194/acp-3-161-2003
– ident: ref78
– ident: ref3
  doi: 10.1007/s10874-012-9215-8
– ident: ref50
  doi: 10.1021/acs.accounts.7b00536
– ident: ref1
  doi: 10.1016/0304-4203(90)90059-L
– ident: ref25
  doi: 10.5194/bg-15-3497-2018
– ident: ref17
  doi: 10.1021/acs.jpca.1c06900
– ident: ref21
  doi: 10.1016/j.atmosenv.2009.02.043
– ident: ref42
  doi: 10.5194/acp-20-3061-2020
– ident: ref23
  doi: 10.1007/s10874-010-9155-0
– ident: ref80
  doi: 10.1128/AEM.68.12.5804-5815.2002
– ident: ref61
  doi: 10.5194/acp-6-1513-2006
– ident: ref71
  doi: 10.1073/pnas.1919344117
– ident: ref16
  doi: 10.1038/326655a0
– ident: ref6
  doi: 10.1029/JC092iC03p02930
– ident: ref26
  doi: 10.1007/s10874-010-9177-7
– ident: ref40
  doi: 10.1126/science.aaf7796
– ident: ref49
  doi: 10.1029/2006JD007293
– ident: ref19
  doi: 10.5194/acp-9-8745-2009
– ident: ref29
  doi: 10.1016/S1352-2310(96)00105-7
– ident: ref34
  doi: 10.1016/S0016-7037(00)00399-9
– ident: ref31
  doi: 10.1029/2000JD900630
– ident: ref37
  doi: 10.1073/pnas.1318694111
– ident: ref12
  doi: 10.1021/jp9914828
– ident: ref72
  doi: 10.1021/acs.est.0c04323
– ident: ref15
  doi: 10.1038/nature12674
SSID ssj0025014
Score 2.5229285
Snippet Oceanic emissions of dimethyl sulfide (CH3SCH3, DMS) have long been recognized to impact aerosol particle composition and size, the concentration of cloud...
Oceanic emissions of dimethyl sulfide (CH.sub.3 SCH.sub.3, DMS) have long been recognized to impact aerosol particle composition and size, the concentration of...
Oceanic emissions of dimethyl sulfide (CH3SCH3, DMS) have long been recognized to impact aerosol particle composition and size, the concentration of cloud...
Oceanic emissions of dimethyl sulfide (CH 3 SCH 3 , DMS) have long been recognized to impact aerosol particle composition and size, the concentration of cloud...
SourceID doaj
proquest
gale
crossref
SourceType Open Website
Aggregation Database
StartPage 6309
SubjectTerms Aerosols
Air pollution
Air-sea interaction
Atmosphere
Atmospheric models
Blooms
Boundary layers
Budgets
Chlorophyll
Chlorophylls
Cloud condensation nuclei
Clouds
Condensates
Condensation nuclei
Detection
Dimethyl sulfide
Eddy covariance
Emission analysis
Emission measurements
Emissions
Finite element method
Fluctuations
Laboratories
Least squares method
Mass spectrometry
Methanethiol
Mixing ratio
Modelling
Oceans
Organosulfur compounds
Oxidation
Particle composition
Particle formation
Phytoplankton
Phytoplankton bloom
Protons
Radiation
Radiation balance
Reaction time
Sulfides
Sulfur
Sulfur budget
Sulfur compounds
Sulfur dioxide
Sulfuric acid
Sulphides
Sulphur
Sulphur dioxide
Title Oceanic emissions of dimethyl sulfide and methanethiol and their contribution to sulfur dioxide production in the marine atmosphere
URI https://www.proquest.com/docview/2664964969
https://doaj.org/article/baeabdc1a57f4349ab5479b18adb1055
Volume 22
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3Ni9UwEA-6Jy_iJz5dJYgoHsq2SZq0x3XdZT2o4Cp4C5MvKbxtH6-voGf_cWfSvoV3EC9CL81HPzKTZCaZ_H6MvXLoJYuMp10lXSjjSuxzaMhVqVYVkYeBoPPOl1fm0_fm_TnB5NxQfVFM2AwPPDfciYMILvgKapOUVC24WpnWVQ0ER-SOefQtm70ztbhatFtGrpZuyoK4meYNSrRW1An4TYEOmM5bC6UQBxNSxu3_2-icp5yLe-zuYivy0_kb77NbsX_AVh_RzB22eTWcv-Zn6w5tznz3kP3-7CP0nedE4kbLYCMfEg8d0UT_WvNxWqcuRA594JQEdCKnG9Y5Ie8Y8By5vlBg8d2Qq0xbfMTwk2puZnxYyux6qsKvgY4PcthdDyMhFMRH7NvF-dezy2JhWSi8aspdkUwtsOdSOxNWoPS1DwoEmg7JqCjaKFNonHClBIiNbkTSNbpdwTgvk5ZaPmZH_dDHJ4ybqJXTMmhIGoUkwERvfCt9lLrRLq3Y231T280MpmHRCSGxWBSLFcKSWCyJZcXekSxuyhEMdk5A5bCLcth_KceKvSRJWgK66CmS5gdM42g_XH2xpwaHL7RWFL7pzVIoDbsteFgOJuA_ETbWQcnjg5IoS3-YvVcYu4wEo0UDSLV0tU__xx89Y3eodSh-oTLH7Gi3neJzdnsM04vcA_4AsBEKyw
link.rule.ids 315,782,786,866,2108,27935,27936
linkProvider Directory of Open Access Journals
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Oceanic+emissions+of+dimethyl+sulfide+and+methanethiol+and+their+contribution+to+sulfur+dioxide+production+in+the+marine+atmosphere&rft.jtitle=Atmospheric+chemistry+and+physics&rft.au=Novak%2C+Gordon+A&rft.au=Kilgour%2C+Delaney+B&rft.au=Jernigan%2C+Christopher+M&rft.au=Vermeuel%2C+Michael+P&rft.date=2022-05-17&rft.pub=Copernicus+GmbH&rft.issn=1680-7316&rft.eissn=1680-7324&rft.volume=22&rft.issue=9&rft.spage=6309&rft.epage=6325&rft_id=info:doi/10.5194%2Facp-22-6309-2022&rft.externalDBID=HAS_PDF_LINK
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1680-7324&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1680-7324&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1680-7324&client=summon