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

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

In this proof-of-concept paper, we apply a bulk-mass-modeling method using observations from the NASA Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument for retrieving particulate matter (PM) concentration over the contiguous United States (CONUS) over a 2-year period (2008–2009). Different from previous approaches that rely on empirical relationships between aerosol optical depth (AOD) and PMinline-formula2.5 (PM with particle diameters less than 2.5 inline-formulaµm), for the first time, we derive PMinline-formula2.5 concentrations, during both daytime and nighttime, from near-surface CALIOP aerosol extinction retrievals using bulk mass extinction coefficients and model-based hygroscopicity. Preliminary results from this 2-year study conducted over the CONUS show a good agreement (inline-formular2∼0.48; mean bias of inline-formula−3.3inline-formulaµg m−3) between the averaged nighttime CALIOP-derived PMinline-formula2.5 and ground-based PMinline-formula2.5 (with a lower inline-formular2 of inline-formula∼0.21 for daytime; mean bias of inline-formula−0.4inline-formulaµg m−3), suggesting that PM concentrations can be obtained from active-based spaceborne observations with reasonable accuracy. Results from sensitivity studies suggest that accurate aerosol typing is needed for applying CALIOP measurements for PMinline-formula2.5 studies. Lastly, the inline-formulae-folding correlation length for surface PMinline-formula2.5 is found to be around 600 inline-formulakm for the entire CONUS (inline-formula∼300inline-formulakm for western CONUS and inline-formula∼700inline-formulakm for eastern CONUS), indicating that CALIOP observations, although sparse in spatial coverage, may still be applicable for PMinline-formula2.5 studies.

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Toth, Travis D. / Zhang, Jianglong / Reid, Jeffrey S. / et al: A bulk-mass-modeling-based method for retrieving particulate matter pollution using CALIOP observations. 2019. Copernicus Publications.

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