Assessing the Challenges of Surface‐Level Aerosol Mass Estimates From Remote Sensing During the SEAC4RS and SEARCH Campaigns: Baseline Surface Observations and Remote Sensing in the Southeastern United States
The Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) campaign conducted in the southeast United States (SEUS) during the summer of 2013 provided a singular opportunity to study local aerosol chemistry and investigate aerosol radiative proper...
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ftunivndakota:oai:commons.und.edu:as-fac-1004 2023-05-15T13:06:23+02:00 Assessing the Challenges of Surface‐Level Aerosol Mass Estimates From Remote Sensing During the SEAC4RS and SEARCH Campaigns: Baseline Surface Observations and Remote Sensing in the Southeastern United States Kaku, Katie C. Reid, J. S. Hand, Jenny Edgerton, E. S. Holben, B. N. Zhang, Jianglong Holz, R. E. 2018-06-01T07:00:00Z application/pdf https://commons.und.edu/as-fac/5 https://commons.und.edu/cgi/viewcontent.cgi?article=1004&context=as-fac unknown UND Scholarly Commons https://commons.und.edu/as-fac/5 https://commons.und.edu/cgi/viewcontent.cgi?article=1004&context=as-fac http://creativecommons.org/licenses/by-nc-nd/4.0/ CC-BY-NC-ND Atmospheric Sciences Faculty Publications text 2018 ftunivndakota 2022-09-14T06:12:23Z The Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) campaign conducted in the southeast United States (SEUS) during the summer of 2013 provided a singular opportunity to study local aerosol chemistry and investigate aerosol radiative properties and PM2.5 relationships, focusing on the complexities involved in simplifying the relationship into a linear regression. We utilize three Southeastern Aerosol Research and Characterization network sites and one Environmental Protection Agency Chemical Speciation Network station that afforded simultaneous Aerosol Robotic Network (AERONET) aerosol optical depth (AOD) and aerosol mass, chemistry, and light scattering monitoring. Prediction of AERONET AOD using linear regression of daily‐mean PM2.5 during the SEAC4RS campaign yielded r2 of 0.36–0.53 and highly variable slopes across four sites. There were further reductions in PM2.5 predictive skill using Moderate Resolution Imaging Spectroradiometer (MODIS) and Multi‐angle Imaging SpetroRadiometer (MISR) AOD data, which have shorter correlation lengths and times relative to surface PM2.5. Long‐term trends in aerosol chemistry and optical properties in the SEUS are also investigated and compared to SEAC4RS period data, establishing that the SEUS experienced significant reduction in aerosol mass, corresponding with changes in both aerosol chemistry and optical properties. These changes have substantial impact on the PM2.5‐AOD linear regression relationship and reinforce the need for long‐term aerosol observation stations in addition to concentrated field campaigns. Text Aerosol Robotic Network UND Scholarly Commons (University of North Dakota) |
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UND Scholarly Commons (University of North Dakota) |
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ftunivndakota |
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The Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) campaign conducted in the southeast United States (SEUS) during the summer of 2013 provided a singular opportunity to study local aerosol chemistry and investigate aerosol radiative properties and PM2.5 relationships, focusing on the complexities involved in simplifying the relationship into a linear regression. We utilize three Southeastern Aerosol Research and Characterization network sites and one Environmental Protection Agency Chemical Speciation Network station that afforded simultaneous Aerosol Robotic Network (AERONET) aerosol optical depth (AOD) and aerosol mass, chemistry, and light scattering monitoring. Prediction of AERONET AOD using linear regression of daily‐mean PM2.5 during the SEAC4RS campaign yielded r2 of 0.36–0.53 and highly variable slopes across four sites. There were further reductions in PM2.5 predictive skill using Moderate Resolution Imaging Spectroradiometer (MODIS) and Multi‐angle Imaging SpetroRadiometer (MISR) AOD data, which have shorter correlation lengths and times relative to surface PM2.5. Long‐term trends in aerosol chemistry and optical properties in the SEUS are also investigated and compared to SEAC4RS period data, establishing that the SEUS experienced significant reduction in aerosol mass, corresponding with changes in both aerosol chemistry and optical properties. These changes have substantial impact on the PM2.5‐AOD linear regression relationship and reinforce the need for long‐term aerosol observation stations in addition to concentrated field campaigns. |
format |
Text |
author |
Kaku, Katie C. Reid, J. S. Hand, Jenny Edgerton, E. S. Holben, B. N. Zhang, Jianglong Holz, R. E. |
spellingShingle |
Kaku, Katie C. Reid, J. S. Hand, Jenny Edgerton, E. S. Holben, B. N. Zhang, Jianglong Holz, R. E. Assessing the Challenges of Surface‐Level Aerosol Mass Estimates From Remote Sensing During the SEAC4RS and SEARCH Campaigns: Baseline Surface Observations and Remote Sensing in the Southeastern United States |
author_facet |
Kaku, Katie C. Reid, J. S. Hand, Jenny Edgerton, E. S. Holben, B. N. Zhang, Jianglong Holz, R. E. |
author_sort |
Kaku, Katie C. |
title |
Assessing the Challenges of Surface‐Level Aerosol Mass Estimates From Remote Sensing During the SEAC4RS and SEARCH Campaigns: Baseline Surface Observations and Remote Sensing in the Southeastern United States |
title_short |
Assessing the Challenges of Surface‐Level Aerosol Mass Estimates From Remote Sensing During the SEAC4RS and SEARCH Campaigns: Baseline Surface Observations and Remote Sensing in the Southeastern United States |
title_full |
Assessing the Challenges of Surface‐Level Aerosol Mass Estimates From Remote Sensing During the SEAC4RS and SEARCH Campaigns: Baseline Surface Observations and Remote Sensing in the Southeastern United States |
title_fullStr |
Assessing the Challenges of Surface‐Level Aerosol Mass Estimates From Remote Sensing During the SEAC4RS and SEARCH Campaigns: Baseline Surface Observations and Remote Sensing in the Southeastern United States |
title_full_unstemmed |
Assessing the Challenges of Surface‐Level Aerosol Mass Estimates From Remote Sensing During the SEAC4RS and SEARCH Campaigns: Baseline Surface Observations and Remote Sensing in the Southeastern United States |
title_sort |
assessing the challenges of surface‐level aerosol mass estimates from remote sensing during the seac4rs and search campaigns: baseline surface observations and remote sensing in the southeastern united states |
publisher |
UND Scholarly Commons |
publishDate |
2018 |
url |
https://commons.und.edu/as-fac/5 https://commons.und.edu/cgi/viewcontent.cgi?article=1004&context=as-fac |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Atmospheric Sciences Faculty Publications |
op_relation |
https://commons.und.edu/as-fac/5 https://commons.und.edu/cgi/viewcontent.cgi?article=1004&context=as-fac |
op_rights |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
op_rightsnorm |
CC-BY-NC-ND |
_version_ |
1766003158258024448 |