The Potential Impact of Satellite-Retrieved Cloud Parameters on Ground-Level PM_2.5 Mass and Composition.

ABSTRACT: Satellite-retrieved aerosol optical properties have been extensively used to estimate ground-level fine particulate matter (PM_2.5) concentrations in support of air pollution health effects research and air quality assessment at the urban to global scales. However, a large proportion, ~70%, of satellite observations of aerosols are missing as a result of cloud-cover, surface brightness, and snow-cover. The resulting PM_2.5 estimates could therefore be biased due to this non-random data missingness. Cloud-cover in particular has the potential to impact ground-level PM_2.5 concentrations through complex chemical and physical processes. We developed a series of statistical models using the Multi-Angle Implementation of Atmospheric Correction (MAIAC) aerosol produ

SUBMITTER: Belle JH 

PROVIDER: S-EPMC5664745 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature