Saharan Dust Aerosols Change Deep Convective Cloud Prevalence, Possibly by Inhibiting Marine New Particle Formation
Deep convective clouds (DCCs) are important to global climate, atmospheric chemistry, and precipitation. Dust, a dominant aerosol type over the tropical North Atlantic, has potentially large microphysical impacts on DCCs over this region. However, dust effects are difficult to identify, being confou...
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Veröffentlicht in: | Journal of climate 2020-11, Vol.33 (21), p.9467-9480 |
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description | Deep convective clouds (DCCs) are important to global climate, atmospheric chemistry, and precipitation. Dust, a dominant aerosol type over the tropical North Atlantic, has potentially large microphysical impacts on DCCs over this region. However, dust effects are difficult to identify, being confounded by covarying meteorology and other factors. Here, a method is developed to quantify DCC responses to dust and other aerosols at large spatial and temporal scales despite these uncertainties. Over 7 million tropical North Atlantic cloud, aerosol, and meteorological profiles from CloudSat satellite data and MERRA-2 reanalysis products are used to stratify cloud observations into meteorological regimes, objectively select a priori assumptions, and iteratively test uncertainty sensitivity. Dust is robustly associated with a 54% increase in DCC prevalence. However, marine aerosol proxy concentrations are 5 times more predictive of dust-associated increases in DCC prevalence than the dust itself, or any other aerosol or meteorological factor. Marine aerosols are also the most predictive factor for the even larger increases in DCC prevalence (61%–87%) associated with enhanced dimethyl sulfide and combustion and sulfate aerosols. Dust-associated increases in DCC prevalence are smaller at high dust concentrations than at low concentrations. These observations suggest that not only is dust a comparatively ineffective CCN source, but it may also act as a condensation/coagulation sink for chemical precursors to CCN, reducing total CCN availability over large spatial scales by inhibiting new particle formation from marine emissions. These observations represent the first time this process, previously predicted by models, has been supported and quantified by measurements. |
doi_str_mv | 10.1175/jcli-d-20-0083.1 |
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Dust, a dominant aerosol type over the tropical North Atlantic, has potentially large microphysical impacts on DCCs over this region. However, dust effects are difficult to identify, being confounded by covarying meteorology and other factors. Here, a method is developed to quantify DCC responses to dust and other aerosols at large spatial and temporal scales despite these uncertainties. Over 7 million tropical North Atlantic cloud, aerosol, and meteorological profiles from CloudSat satellite data and MERRA-2 reanalysis products are used to stratify cloud observations into meteorological regimes, objectively select a priori assumptions, and iteratively test uncertainty sensitivity. Dust is robustly associated with a 54% increase in DCC prevalence. However, marine aerosol proxy concentrations are 5 times more predictive of dust-associated increases in DCC prevalence than the dust itself, or any other aerosol or meteorological factor. Marine aerosols are also the most predictive factor for the even larger increases in DCC prevalence (61%–87%) associated with enhanced dimethyl sulfide and combustion and sulfate aerosols. Dust-associated increases in DCC prevalence are smaller at high dust concentrations than at low concentrations. These observations suggest that not only is dust a comparatively ineffective CCN source, but it may also act as a condensation/coagulation sink for chemical precursors to CCN, reducing total CCN availability over large spatial scales by inhibiting new particle formation from marine emissions. These observations represent the first time this process, previously predicted by models, has been supported and quantified by measurements.</description><identifier>ISSN: 0894-8755</identifier><identifier>EISSN: 1520-0442</identifier><identifier>DOI: 10.1175/jcli-d-20-0083.1</identifier><language>eng</language><publisher>Goddard Space Flight Center: American Meteorological Society</publisher><subject>Aerosol concentrations ; Aerosols ; Atmospheric chemistry ; Atmospheric models ; Atmospheric particulates ; Chemical precipitation ; Cloud formation ; Cloud observations ; Clouds ; Coagulation ; Condensates ; Convective clouds ; Dimethyl sulfide ; Dust ; Dust effects ; Dust storms ; Geosciences (General) ; Global climate ; Low concentrations ; Marine aerosols ; Marine meteorology ; Meteorological regimes ; Meteorology ; Particle formation ; Saharan dust ; Satellite data ; Sensitivity analysis ; SPECIAL COLLECTION: MERRA-2 ; Sulfate aerosols ; Sulphides ; Tropical climate ; Uncertainty</subject><ispartof>Journal of climate, 2020-11, Vol.33 (21), p.9467-9480</ispartof><rights>2020 American Meteorological Society</rights><rights>Copyright Determination: GOV_PERMITTED</rights><rights>Copyright American Meteorological Society Nov 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c380t-a3ef504dda9b406d6e57c919405d58f098381df0a3425f1ce68e1ebe023d51673</citedby><cites>FETCH-LOGICAL-c380t-a3ef504dda9b406d6e57c919405d58f098381df0a3425f1ce68e1ebe023d51673</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/27076042$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/27076042$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,800,803,3681,27924,27925,58017,58250</link.rule.ids></links><search><creatorcontrib>Zamora, Lauren M.</creatorcontrib><creatorcontrib>Kahn, Ralph A.</creatorcontrib><title>Saharan Dust Aerosols Change Deep Convective Cloud Prevalence, Possibly by Inhibiting Marine New Particle Formation</title><title>Journal of climate</title><description>Deep convective clouds (DCCs) are important to global climate, atmospheric chemistry, and precipitation. Dust, a dominant aerosol type over the tropical North Atlantic, has potentially large microphysical impacts on DCCs over this region. However, dust effects are difficult to identify, being confounded by covarying meteorology and other factors. Here, a method is developed to quantify DCC responses to dust and other aerosols at large spatial and temporal scales despite these uncertainties. Over 7 million tropical North Atlantic cloud, aerosol, and meteorological profiles from CloudSat satellite data and MERRA-2 reanalysis products are used to stratify cloud observations into meteorological regimes, objectively select a priori assumptions, and iteratively test uncertainty sensitivity. Dust is robustly associated with a 54% increase in DCC prevalence. However, marine aerosol proxy concentrations are 5 times more predictive of dust-associated increases in DCC prevalence than the dust itself, or any other aerosol or meteorological factor. Marine aerosols are also the most predictive factor for the even larger increases in DCC prevalence (61%–87%) associated with enhanced dimethyl sulfide and combustion and sulfate aerosols. Dust-associated increases in DCC prevalence are smaller at high dust concentrations than at low concentrations. These observations suggest that not only is dust a comparatively ineffective CCN source, but it may also act as a condensation/coagulation sink for chemical precursors to CCN, reducing total CCN availability over large spatial scales by inhibiting new particle formation from marine emissions. These observations represent the first time this process, previously predicted by models, has been supported and quantified by measurements.</description><subject>Aerosol concentrations</subject><subject>Aerosols</subject><subject>Atmospheric chemistry</subject><subject>Atmospheric models</subject><subject>Atmospheric particulates</subject><subject>Chemical precipitation</subject><subject>Cloud formation</subject><subject>Cloud observations</subject><subject>Clouds</subject><subject>Coagulation</subject><subject>Condensates</subject><subject>Convective clouds</subject><subject>Dimethyl sulfide</subject><subject>Dust</subject><subject>Dust effects</subject><subject>Dust storms</subject><subject>Geosciences (General)</subject><subject>Global climate</subject><subject>Low concentrations</subject><subject>Marine aerosols</subject><subject>Marine meteorology</subject><subject>Meteorological regimes</subject><subject>Meteorology</subject><subject>Particle formation</subject><subject>Saharan dust</subject><subject>Satellite data</subject><subject>Sensitivity analysis</subject><subject>SPECIAL COLLECTION: MERRA-2</subject><subject>Sulfate aerosols</subject><subject>Sulphides</subject><subject>Tropical climate</subject><subject>Uncertainty</subject><issn>0894-8755</issn><issn>1520-0442</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>CYI</sourceid><recordid>eNo9UM9r2zAUFqODZV3vO2wg2LXuniTLlo_BabeMrA20PQvZfm4UHCmT5JT893XI6Onx-H7xfYR8ZXDDWCl_btvBZl3GIQNQ4oZ9IDMmT1-e8wsyA1XlmSql_EQ-x7gFYLwAmJH4aDYmGEcXY0x0jsFHP0Rab4x7QbpA3NPauwO2yR6Q1oMfO7oOeDADuhav6drHaJvhSJsjXbqNbWyy7oX-NcE6pPf4StcmJNsOSO982JlkvftCPvZmiHj1_16S57vbp_p3tnr4taznq6wVClJmBPYS8q4zVZND0RUoy7ZiVQ6yk6qHSgnFuh6MyLnsWYuFQoYNAhedZEUpLsmPs-8--H8jxqS3fgxuitRcMiak5DmfWHBmtVP3GLDX-2B3Jhw1A32aVv-pV0u90Bz0aVrNJsm3s8SZaLRLYTIEDhKgZEpM8PczvI3Jh3c7XkJZwJT4Bg_gfvY</recordid><startdate>20201101</startdate><enddate>20201101</enddate><creator>Zamora, Lauren M.</creator><creator>Kahn, Ralph A.</creator><general>American Meteorological Society</general><scope>CYE</scope><scope>CYI</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope></search><sort><creationdate>20201101</creationdate><title>Saharan Dust Aerosols Change Deep Convective Cloud Prevalence, Possibly by Inhibiting Marine New Particle Formation</title><author>Zamora, Lauren M. ; Kahn, Ralph A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c380t-a3ef504dda9b406d6e57c919405d58f098381df0a3425f1ce68e1ebe023d51673</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aerosol concentrations</topic><topic>Aerosols</topic><topic>Atmospheric chemistry</topic><topic>Atmospheric models</topic><topic>Atmospheric particulates</topic><topic>Chemical precipitation</topic><topic>Cloud formation</topic><topic>Cloud observations</topic><topic>Clouds</topic><topic>Coagulation</topic><topic>Condensates</topic><topic>Convective clouds</topic><topic>Dimethyl sulfide</topic><topic>Dust</topic><topic>Dust effects</topic><topic>Dust storms</topic><topic>Geosciences (General)</topic><topic>Global climate</topic><topic>Low concentrations</topic><topic>Marine aerosols</topic><topic>Marine meteorology</topic><topic>Meteorological regimes</topic><topic>Meteorology</topic><topic>Particle formation</topic><topic>Saharan dust</topic><topic>Satellite data</topic><topic>Sensitivity analysis</topic><topic>SPECIAL COLLECTION: MERRA-2</topic><topic>Sulfate aerosols</topic><topic>Sulphides</topic><topic>Tropical climate</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zamora, Lauren M.</creatorcontrib><creatorcontrib>Kahn, Ralph A.</creatorcontrib><collection>NASA Scientific and Technical Information</collection><collection>NASA Technical Reports Server</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Journal of climate</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zamora, Lauren M.</au><au>Kahn, Ralph A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Saharan Dust Aerosols Change Deep Convective Cloud Prevalence, Possibly by Inhibiting Marine New Particle Formation</atitle><jtitle>Journal of climate</jtitle><date>2020-11-01</date><risdate>2020</risdate><volume>33</volume><issue>21</issue><spage>9467</spage><epage>9480</epage><pages>9467-9480</pages><issn>0894-8755</issn><eissn>1520-0442</eissn><abstract>Deep convective clouds (DCCs) are important to global climate, atmospheric chemistry, and precipitation. Dust, a dominant aerosol type over the tropical North Atlantic, has potentially large microphysical impacts on DCCs over this region. However, dust effects are difficult to identify, being confounded by covarying meteorology and other factors. Here, a method is developed to quantify DCC responses to dust and other aerosols at large spatial and temporal scales despite these uncertainties. Over 7 million tropical North Atlantic cloud, aerosol, and meteorological profiles from CloudSat satellite data and MERRA-2 reanalysis products are used to stratify cloud observations into meteorological regimes, objectively select a priori assumptions, and iteratively test uncertainty sensitivity. Dust is robustly associated with a 54% increase in DCC prevalence. However, marine aerosol proxy concentrations are 5 times more predictive of dust-associated increases in DCC prevalence than the dust itself, or any other aerosol or meteorological factor. Marine aerosols are also the most predictive factor for the even larger increases in DCC prevalence (61%–87%) associated with enhanced dimethyl sulfide and combustion and sulfate aerosols. Dust-associated increases in DCC prevalence are smaller at high dust concentrations than at low concentrations. These observations suggest that not only is dust a comparatively ineffective CCN source, but it may also act as a condensation/coagulation sink for chemical precursors to CCN, reducing total CCN availability over large spatial scales by inhibiting new particle formation from marine emissions. These observations represent the first time this process, previously predicted by models, has been supported and quantified by measurements.</abstract><cop>Goddard Space Flight Center</cop><pub>American Meteorological Society</pub><doi>10.1175/jcli-d-20-0083.1</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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source | Free E-Journal (出版社公開部分のみ); 美国气象学会期刊(NSTL购买); NASA Technical Reports Server; JSTOR |
subjects | Aerosol concentrations Aerosols Atmospheric chemistry Atmospheric models Atmospheric particulates Chemical precipitation Cloud formation Cloud observations Clouds Coagulation Condensates Convective clouds Dimethyl sulfide Dust Dust effects Dust storms Geosciences (General) Global climate Low concentrations Marine aerosols Marine meteorology Meteorological regimes Meteorology Particle formation Saharan dust Satellite data Sensitivity analysis SPECIAL COLLECTION: MERRA-2 Sulfate aerosols Sulphides Tropical climate Uncertainty |
title | Saharan Dust Aerosols Change Deep Convective Cloud Prevalence, Possibly by Inhibiting Marine New Particle Formation |
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