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

Kaku, K. C.; Reid, J. S.; Hand, J. L.; Edgerton, E. S.; Holben, B. N.; Zhang, J.; Holz, R. E.

doi:10.1029/2017jd028074

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

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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

2018
By Kaku, K. C. ; Reid, J. S. ; Hand, J. L. ; ...
Source: Journal of Geophysical Research: Atmospheres, 123(14), 7530-7562

[PDF-4.60 MB]

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Details:

Journal Title:

Journal of Geophysical Research: Atmospheres
Personal Author:

Kaku, K. C. ; Reid, J. S. ; Hand, J. L. ; Edgerton, E. S. ; Holben, B. N. ; ... More +

Kaku, K. C. ; Reid, J. S. ; Hand, J. L. ; Edgerton, E. S. ; Holben, B. N. ; Zhang, J. ; Holz, R. E. Less -
NOAA Program & Office:

CIMSS (Cooperative Institute for Meteorological Satellite Studies) ; CIRA (Cooperative Institute for Research in the Atmosphere)

CIMSS (Cooperative Institute for Meteorological Satellite Studies) ; CIRA (Cooperative Institute for Research in the Atmosphere) Less -
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
Keywords:

[+]

Atmospheric Science Earth And Planetary Sciences (miscellaneous) Geophysics Space And Planetary Science
Source:

Journal of Geophysical Research: Atmospheres, 123(14), 7530-7562
DOI:

https://doi.org/10.1029/2017jd028074
ISSN:

2169-897X;2169-8996;
Format:

PDF
Publisher:

American Geophysical Union (AGU)
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by-nc-nd/4.0/
Rights Information:

CC BY-NC-ND
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Library
Main Document Checksum:

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urn:sha256:c8f8082c828d31444e974ae0766a7cbced40bae38a42be35915b3ee4f2ef8ec4
Download URL:

https://repository.library.noaa.gov/view/noaa/53599/noaa_53599_DS1.pdf
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