Passive remote sensing of altitude and optical depth of dust plumes using the oxygen A and B bands: first results from EPIC/DSCOVR at Lagrange-1 point

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 appli...

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Bibliographic Details
Published in:Geophysical Research Letters
Main Authors: Xu, Xiaoguang, Wang, Jun, Wang, Yi, Zeng, Jing, Torres, Omar, Yang, Yuekui, Marshak, Alexander, Reid, Jeffrey, Miller, Steve
Format: Text
Language:English
Published: 2017
Subjects:
Article
Lagrange
Aerosol Robotic Network
North Atlantic
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357207/
http://www.ncbi.nlm.nih.gov/pubmed/32661445
https://doi.org/10.1002/2017gl073939
Description
Summary: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.

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