Articles | Volume 12, issue 3
https://doi.org/10.5194/amt-12-1739-2019
https://doi.org/10.5194/amt-12-1739-2019
Research article
 | 
18 Mar 2019
Research article |  | 18 Mar 2019

A bulk-mass-modeling-based method for retrieving particulate matter pollution using CALIOP observations

Travis D. Toth, Jianglong Zhang, Jeffrey S. Reid, and Mark A. Vaughan

Data sets

CALIPSO M. Vaughan, M. Pitts, C. Trepte, D. Winker, P. Detweiler, A. Garnier, B. Getzewich, W. Hunt, J. Lambeth, K.-P. Lee, P. Lucker, T. Murray, S. Rodier, T. Tremas, A. Bazureau, and J. Pelon https://doi.org/10.5067/CALIOP/CALIPSO/LID_L2_05kmAPro-Standard-V4-10

CALIPSO M. Vaughan, M. Pitts, C. Trepte, D. Winker, P. Detweiler, A. Garnier, B. Getzewich, W. Hunt, J. Lambeth, K.-P. Lee, P. Lucker, T. Murray, S. Rodier, T. Tremas, A. Bazureau, and J. Pelon https://doi.org/10.5067/CALIOP/CALIPSO/LID_L2_05kmALay-Standard-V4-10

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Short summary
An innovative method is presented for deriving particulate matter (PM) concentrations using CALIOP measurements. Deviating from conventional approaches of relying on passive satellite column-integrated aerosol measurements, PM concentrations are derived from near-surface CALIOP measurements through a bulk-mass-modeling method. This proof-of-concept study shows that, while limited in spatial and temporal coverage, CALIOP exhibits reasonable skill for PM applications.