| Literature DB >> 32661445 |
Xiaoguang Xu1, Jun Wang1, Yi Wang1, Jing Zeng1, Omar Torres2, Yuekui Yang3, Alexander Marshak3, Jeffrey Reid4, Steve Miller5.
Abstract
We presented an algorithm for inferring aerosol layer height (ALH) and optical depth (AOD) over ocean surface from radiances in oxygen A and B bands measured by the Earth Polychromatic Imaging Camera (EPIC) on the Deep Space Climate Observatory orbiting at Lagrangian-1 point. The algorithm was applied to EPIC imagery of a two-day dust outbreak over the North Atlantic Ocean. Retrieved ALHs and AODs were evaluated against counterparts observed by Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), Moderate Resolution Imaging Spectroradiometer (MODIS), and Aerosol Robotic Network. The comparisons showed 71.5% of EPIC-retrieved ALHs were within ±0.5 km of those determined from CALIOP and 74.4% of EPIC AOD retrievals fell within a ±(0.1+10%) envelope of MODIS retrievals. This study demonstrates the potential of EPIC measurements for retrieving global aerosol height multiple times daily, which are essential for evaluating aerosol profile simulated in climate models and for better estimating aerosol radiative effects.Entities:
Year: 2017 PMID: 32661445 PMCID: PMC7357207 DOI: 10.1002/2017gl073939
Source DB: PubMed Journal: Geophys Res Lett ISSN: 0094-8276 Impact factor: 4.720