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Assessing the Challenges of Surface‐Level Aerosol Mass Estimates From Remote Sensing During the SEAC 4 RS and SEARCH Campaigns: Baseline Surface Observations and Remote Sensing in the Southeastern United States
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2018
Source: Journal of Geophysical Research: Atmospheres, 123(14), 7530-7562
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Journal Title:Journal of Geophysical Research: Atmospheres
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Description: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 PM 2.5relationships, focusing on the complexities involved in simplifying the relationship into a linear regression. We utilize three Southeastern Aerosol Research and Characterizationnetwork 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 PM
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Source:Journal of Geophysical Research: Atmospheres, 123(14), 7530-7562
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ISSN:2169-897X;2169-8996;
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Rights Information:CC BY-NC-ND
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Compliance:Library
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