Ground based high spectral resolution lidar observation of aerosol vertical distribution in the summertime Southeast United States
As part of the Southeast United States based Studies of Emissions & Atmospheric Composition, Clouds & Climate Coupling by Regional Surveys (SEAC4RS), and collinear with part of the Southeast Atmosphere Study (SAS), the University of Wisconsin High Spectral Resolution Lidar (UW-HSRL) system w...
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ftunivnebraskali:oai:digitalcommons.unl.edu:nasapub-1234 2023-11-12T03:59:49+01:00 Ground based high spectral resolution lidar observation of aerosol vertical distribution in the summertime Southeast United States Reid, Jeffrey S. Kuehen, Ralph E. Holz, Robert E. Eloranta, Edwin W. Kaku, Kathleen C. Kuang, Shi Newchurch, Michael J. Thompson, Anne M. Trepte, Charles R. Zhang, Jianglong Atwood, Samuel A. Hand, Jenny L. Holben, Brent N. Minnis, Patrick Posselt, Derek J. 2017-01-01T08:00:00Z application/pdf https://digitalcommons.unl.edu/nasapub/233 https://digitalcommons.unl.edu/context/nasapub/article/1234/viewcontent/Reid_et_al_2017_Journal_of_Geophysical_Research__Atmospheres.pdf unknown DigitalCommons@University of Nebraska - Lincoln https://digitalcommons.unl.edu/nasapub/233 https://digitalcommons.unl.edu/context/nasapub/article/1234/viewcontent/Reid_et_al_2017_Journal_of_Geophysical_Research__Atmospheres.pdf NASA Publications text 2017 ftunivnebraskali 2023-10-30T09:53:50Z As part of the Southeast United States based Studies of Emissions & Atmospheric Composition, Clouds & Climate Coupling by Regional Surveys (SEAC4RS), and collinear with part of the Southeast Atmosphere Study (SAS), the University of Wisconsin High Spectral Resolution Lidar (UW-HSRL) system was deployed to the University of Alabama from June 19th through November 4th, 2013. With a collocated Aerosol Robotic NETwork(AERONET) sun photometer, a nearby Chemical Speciation Network (PM2.5) measurement station, and near daily ozonesonde releases for the August-September SEAC4RS campaign,the site allowed the region‟s first comprehensive diurnal monitoring of aerosol particle vertical structure. A 532 nm lidar ratio of 55 sr provided good closure between aerosol backscatter and AERONET Aerosol Optical Thickness (AOT). A principle component analysis was performed to identify key modes of variability in aerosol backscatter. “Fair weather” days exhibited classic planetary boundary layer (PBL) structure of a mixed layer accounting for ~50% of AOT and an entrainment zone providing another 25%. An additional 5-15% of variance is gained from the lower free troposphere from either convective detrainment or frequent intrusions of Western United States biomass burning smoke. Generally aerosol particles were contained below the 0 C level, a common level of stabilityin convective regimes. However, occasional strong injections of smoke to the upper troposphere were also observed, accounting for the remaining 10-15% variability in AOT. Examples of these common modes of variability in frontal and convective regimes are presented, demonstrating why AOT often has only a weak relationship to surface PM2.5 concentration. Text Aerosol Robotic Network University of Nebraska-Lincoln: DigitalCommons@UNL Alabama |
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University of Nebraska-Lincoln: DigitalCommons@UNL |
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ftunivnebraskali |
language |
unknown |
description |
As part of the Southeast United States based Studies of Emissions & Atmospheric Composition, Clouds & Climate Coupling by Regional Surveys (SEAC4RS), and collinear with part of the Southeast Atmosphere Study (SAS), the University of Wisconsin High Spectral Resolution Lidar (UW-HSRL) system was deployed to the University of Alabama from June 19th through November 4th, 2013. With a collocated Aerosol Robotic NETwork(AERONET) sun photometer, a nearby Chemical Speciation Network (PM2.5) measurement station, and near daily ozonesonde releases for the August-September SEAC4RS campaign,the site allowed the region‟s first comprehensive diurnal monitoring of aerosol particle vertical structure. A 532 nm lidar ratio of 55 sr provided good closure between aerosol backscatter and AERONET Aerosol Optical Thickness (AOT). A principle component analysis was performed to identify key modes of variability in aerosol backscatter. “Fair weather” days exhibited classic planetary boundary layer (PBL) structure of a mixed layer accounting for ~50% of AOT and an entrainment zone providing another 25%. An additional 5-15% of variance is gained from the lower free troposphere from either convective detrainment or frequent intrusions of Western United States biomass burning smoke. Generally aerosol particles were contained below the 0 C level, a common level of stabilityin convective regimes. However, occasional strong injections of smoke to the upper troposphere were also observed, accounting for the remaining 10-15% variability in AOT. Examples of these common modes of variability in frontal and convective regimes are presented, demonstrating why AOT often has only a weak relationship to surface PM2.5 concentration. |
format |
Text |
author |
Reid, Jeffrey S. Kuehen, Ralph E. Holz, Robert E. Eloranta, Edwin W. Kaku, Kathleen C. Kuang, Shi Newchurch, Michael J. Thompson, Anne M. Trepte, Charles R. Zhang, Jianglong Atwood, Samuel A. Hand, Jenny L. Holben, Brent N. Minnis, Patrick Posselt, Derek J. |
spellingShingle |
Reid, Jeffrey S. Kuehen, Ralph E. Holz, Robert E. Eloranta, Edwin W. Kaku, Kathleen C. Kuang, Shi Newchurch, Michael J. Thompson, Anne M. Trepte, Charles R. Zhang, Jianglong Atwood, Samuel A. Hand, Jenny L. Holben, Brent N. Minnis, Patrick Posselt, Derek J. Ground based high spectral resolution lidar observation of aerosol vertical distribution in the summertime Southeast United States |
author_facet |
Reid, Jeffrey S. Kuehen, Ralph E. Holz, Robert E. Eloranta, Edwin W. Kaku, Kathleen C. Kuang, Shi Newchurch, Michael J. Thompson, Anne M. Trepte, Charles R. Zhang, Jianglong Atwood, Samuel A. Hand, Jenny L. Holben, Brent N. Minnis, Patrick Posselt, Derek J. |
author_sort |
Reid, Jeffrey S. |
title |
Ground based high spectral resolution lidar observation of aerosol vertical distribution in the summertime Southeast United States |
title_short |
Ground based high spectral resolution lidar observation of aerosol vertical distribution in the summertime Southeast United States |
title_full |
Ground based high spectral resolution lidar observation of aerosol vertical distribution in the summertime Southeast United States |
title_fullStr |
Ground based high spectral resolution lidar observation of aerosol vertical distribution in the summertime Southeast United States |
title_full_unstemmed |
Ground based high spectral resolution lidar observation of aerosol vertical distribution in the summertime Southeast United States |
title_sort |
ground based high spectral resolution lidar observation of aerosol vertical distribution in the summertime southeast united states |
publisher |
DigitalCommons@University of Nebraska - Lincoln |
publishDate |
2017 |
url |
https://digitalcommons.unl.edu/nasapub/233 https://digitalcommons.unl.edu/context/nasapub/article/1234/viewcontent/Reid_et_al_2017_Journal_of_Geophysical_Research__Atmospheres.pdf |
geographic |
Alabama |
geographic_facet |
Alabama |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
NASA Publications |
op_relation |
https://digitalcommons.unl.edu/nasapub/233 https://digitalcommons.unl.edu/context/nasapub/article/1234/viewcontent/Reid_et_al_2017_Journal_of_Geophysical_Research__Atmospheres.pdf |
_version_ |
1782336771912105984 |