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. We present an algorithm for retrieving aerosol layer height (ALH)and aerosol optical depth (AOD) for smoke over vegetated land and watersurfaces from measurements of the Earth Polychromatic Imaging Camera (EPIC)onboard the Deep Space Climate Observatory (DSCOVR). The algorithm usesEarth-reflected radiances in six EPIC bands in the visible and near-infraredand incorporates flexible spectral fitting that accounts for the specifics ofland and water surface reflectivity. The fitting procedure first determinesAOD using EPIC atmospheric window bands (443, 551, 680, and 780  nm ),then uses oxygen ( O2 ) A and B bands (688 and 764  nm ) to derive ALH,which represents an optical centroid altitude. ALH retrieval over vegetatedsurface primarily takes advantage of measurements in the O2 B band. Weapplied the algorithm to EPIC observations of several biomass burning eventsover the United States and Canada in August 2017. We found that thealgorithm can be used to obtain AOD and ALH multiple times daily over waterand vegetated land surface. Validation is performed against aerosolextinction profiles detected by the Cloud–Aerosol Lidar with OrthogonalPolarization (CALIOP) and against AOD observed at nine Aerosol RoboticNetwork (AERONET) sites, showing, on average, an error of 0.58  km and a biasof −0.13 km in retrieved ALH and an error of 0.05 and a bias of 0.03 inretrieved AOD. Additionally, we show that the aerosol height informationretrieved by the present algorithm can potentially benefit the retrieval ofaerosol properties from EPIC's ultraviolet (UV) bands.

atmospheric measurement techniques

Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space