Classification of aerosol population type and cloud condensation nuclei properties in a coastal California littoral environment using an unsupervised cluster model
<p>Aerosol particle and cloud condensation nuclei (CCN) measurements from a littoral location on the northern coast of California at Bodega Bay Marine Laboratory (BML) are presented for approximately six weeks of observations during the boreal winter–spring as part of the CalWater-2015 field c...
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Copernicus Publications
2019-05-01
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
S. A. Atwood S. M. Kreidenweis P. J. DeMott M. D. Petters G. C. Cornwell A. C. Martin A. C. Martin K. A. Moore K. A. Moore |
spellingShingle |
S. A. Atwood S. M. Kreidenweis P. J. DeMott M. D. Petters G. C. Cornwell A. C. Martin A. C. Martin K. A. Moore K. A. Moore Classification of aerosol population type and cloud condensation nuclei properties in a coastal California littoral environment using an unsupervised cluster model Atmospheric Chemistry and Physics |
author_facet |
S. A. Atwood S. M. Kreidenweis P. J. DeMott M. D. Petters G. C. Cornwell A. C. Martin A. C. Martin K. A. Moore K. A. Moore |
author_sort |
S. A. Atwood |
title |
Classification of aerosol population type and cloud condensation nuclei properties in a coastal California littoral environment using an unsupervised cluster model |
title_short |
Classification of aerosol population type and cloud condensation nuclei properties in a coastal California littoral environment using an unsupervised cluster model |
title_full |
Classification of aerosol population type and cloud condensation nuclei properties in a coastal California littoral environment using an unsupervised cluster model |
title_fullStr |
Classification of aerosol population type and cloud condensation nuclei properties in a coastal California littoral environment using an unsupervised cluster model |
title_full_unstemmed |
Classification of aerosol population type and cloud condensation nuclei properties in a coastal California littoral environment using an unsupervised cluster model |
title_sort |
classification of aerosol population type and cloud condensation nuclei properties in a coastal california littoral environment using an unsupervised cluster model |
publisher |
Copernicus Publications |
series |
Atmospheric Chemistry and Physics |
issn |
1680-7316 1680-7324 |
publishDate |
2019-05-01 |
description |
<p>Aerosol particle and cloud condensation nuclei (CCN) measurements from a
littoral location on the northern coast of California at Bodega Bay Marine
Laboratory (BML) are presented for approximately six weeks of observations
during the boreal winter–spring as part of the CalWater-2015 field campaign.
The nature and variability of surface (marine boundary layer, MBL) aerosol
populations were evaluated by classifying observations into periods of
similar aerosol and meteorological characteristics using an unsupervised
cluster model to derive distinct littoral aerosol population types and link
them to source regions. Such classifications support efforts to understand
the impact of changing aerosol properties on precipitation and cloud
development in the region, including during important atmospheric river (AR)
tropical moisture advection events. Eight aerosol population types were
identified that were associated with a range of impacts from both marine and
terrestrial sources. Average measured total particle number concentrations,
size distributions, hygroscopicities, and activated fraction spectra between
0.08 % and 1.1 % supersaturation are given for each of the identified
aerosol population types, along with meteorological observations and
transport pathways during time periods associated with each type. Five
terrestrially influenced aerosol population types represented different
degrees of aging of the continental outflow from the coast and interior of
California, and their appearance at the BML site was often linked to changes
in wind direction and transport pathways. In particular, distinct aerosol
populations, associated with diurnal variations in source regions induced by
land- and sea-breeze shifts, were classified by the clustering technique. A
terrestrial type representing fresh emissions, and/or a recent new particle
formation event, occurred in approximately 10 % of the observations. Over
the entire study period, three marine-influenced population types were
identified that typically occurred when the regular diurnal land and sea-breeze
cycle collapsed and BML was continuously ventilated by air masses from marine
regions for multiple days. These marine types differed from each other
primarily in the degree of cloud processing evident in the size
distributions, and in the presence of an additional large-particle mode for
the type associated with the highest wind speeds. One of the marine types was
associated with a multi-day period during which an atmospheric river made
landfall at BML. Differences between many of the terrestrial and marine
population types in total CCN number concentrations active at a specific
supersaturation were often not as pronounced as the associated differences in
the corresponding activated fraction spectra, particularly for
supersaturations below about 0.4 %. This finding was due to the generally
higher number concentrations in terrestrial air masses offsetting the lower
fraction of particles activating at low supersaturations. At higher
supersaturations, CCN concentrations for aged terrestrial types were
typically above those of the marine types due to their higher number
concentrations.</p> |
url |
https://www.atmos-chem-phys.net/19/6931/2019/acp-19-6931-2019.pdf |
work_keys_str_mv |
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spelling |
doaj-0149495ccc2b4b2e9b9c0147467a0c422020-11-24T21:52:16ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242019-05-01196931694710.5194/acp-19-6931-2019Classification of aerosol population type and cloud condensation nuclei properties in a coastal California littoral environment using an unsupervised cluster modelS. A. Atwood0S. M. Kreidenweis1P. J. DeMott2M. D. Petters3G. C. Cornwell4A. C. Martin5A. C. Martin6K. A. Moore7K. A. Moore8Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USADepartment of Atmospheric Science, Colorado State University, Fort Collins, CO, USADepartment of Atmospheric Science, Colorado State University, Fort Collins, CO, USADepartment of Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh, NC, USADepartment of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA, USAClimate Atmospheric Science and Physical Oceanography, Scripps Institution of Oceanography, La Jolla, CA, USAcurrently at: Department of Geography, Portland State University, Portland, OR, USADepartment of Atmospheric Science, Colorado State University, Fort Collins, CO, USADepartment of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA, USA<p>Aerosol particle and cloud condensation nuclei (CCN) measurements from a littoral location on the northern coast of California at Bodega Bay Marine Laboratory (BML) are presented for approximately six weeks of observations during the boreal winter–spring as part of the CalWater-2015 field campaign. The nature and variability of surface (marine boundary layer, MBL) aerosol populations were evaluated by classifying observations into periods of similar aerosol and meteorological characteristics using an unsupervised cluster model to derive distinct littoral aerosol population types and link them to source regions. Such classifications support efforts to understand the impact of changing aerosol properties on precipitation and cloud development in the region, including during important atmospheric river (AR) tropical moisture advection events. Eight aerosol population types were identified that were associated with a range of impacts from both marine and terrestrial sources. Average measured total particle number concentrations, size distributions, hygroscopicities, and activated fraction spectra between 0.08 % and 1.1 % supersaturation are given for each of the identified aerosol population types, along with meteorological observations and transport pathways during time periods associated with each type. Five terrestrially influenced aerosol population types represented different degrees of aging of the continental outflow from the coast and interior of California, and their appearance at the BML site was often linked to changes in wind direction and transport pathways. In particular, distinct aerosol populations, associated with diurnal variations in source regions induced by land- and sea-breeze shifts, were classified by the clustering technique. A terrestrial type representing fresh emissions, and/or a recent new particle formation event, occurred in approximately 10 % of the observations. Over the entire study period, three marine-influenced population types were identified that typically occurred when the regular diurnal land and sea-breeze cycle collapsed and BML was continuously ventilated by air masses from marine regions for multiple days. These marine types differed from each other primarily in the degree of cloud processing evident in the size distributions, and in the presence of an additional large-particle mode for the type associated with the highest wind speeds. One of the marine types was associated with a multi-day period during which an atmospheric river made landfall at BML. Differences between many of the terrestrial and marine population types in total CCN number concentrations active at a specific supersaturation were often not as pronounced as the associated differences in the corresponding activated fraction spectra, particularly for supersaturations below about 0.4 %. This finding was due to the generally higher number concentrations in terrestrial air masses offsetting the lower fraction of particles activating at low supersaturations. At higher supersaturations, CCN concentrations for aged terrestrial types were typically above those of the marine types due to their higher number concentrations.</p>https://www.atmos-chem-phys.net/19/6931/2019/acp-19-6931-2019.pdf |