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Two Decades Observing Smoke Above Clouds in the South-Eastern Atlantic Ocean: Deep Blue Algorithm Updates and Validation with ORACLES Field Campaign DataThis study presents and evaluates an updated algorithmfor quantification of absorbing aerosols above clouds(AACs) from passive satellite measurements. The focus isbiomass burning in the south-eastern Atlantic Ocean duringthe 2016 and 2017 ObseRvations of Aerosols above CLoudsand their intEractionS (ORACLES) field campaign deployments.The algorithm retrieves the above-cloud aerosoloptical depth (AOD) and underlying liquid cloud opticaldepth and is applied to measurements from the Sea-viewingWide Field-of-view Sensor (SeaWiFS), Moderate ResolutionImaging Spectroradiometer (MODIS), and Visible InfraredImaging Radiometer Suite (VIIRS) from 1997 to 2017. AirborneNASA Ames Spectrometers for Sky-Scanning, Sun-Tracking Atmospheric Research (4STAR) and NASA LangleyHigh Spectral Resolution Lidar 2 (HSRL2) data collectedduring ORACLES provide important validation for spectralAOD for MODIS and VIIRS; as the SeaWiFS missionended in 2010, it cannot be evaluated directly. The 4STARand HSRL2 comparisons are complementary and reveal performancegenerally in line with uncertainty estimates providedby the optimal estimation retrieval framework used. Atpresent the two MODIS-based data records seem the mostreliable, although there are differences between the deployments,which may indicate that the available data are not yetsufficient to provide a robust regional validation. Spatiotemporalpatterns in the data sets are similar, and the time seriesare very strongly correlated with each other (correlationcoefficients from 0.95 to 0.99). Offsets between the satellitedata sets are thought to be chiefly due to differences in absolutecalibration between the sensors. The available validationdata for this type of algorithm are limited to a small numberof field campaigns, and it is strongly recommended that suchairborne measurements continue to be made, both over thesouthern Atlantic Ocean and elsewhere.




Document ID
20190028671
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Sayer, Andrew M.
(Universities Space Research Association (USRA) Columbia, MD, United States)
Hsu, N. Christina
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Lee, Jaehwa
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Kim, Woogyung V.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Burton, Sharon
(NASA Langley Research Center Hampton, VA, United States)
Fenn, Marta A.
(NASA Langley Research Center Hampton, VA, United States)
Ferrare, Richard A.
(NASA Langley Research Center Hampton, VA, United States)
Kacenelenbogen, Meloe
(Bay Area Environmental Research Inst. Moffett Field, CA, United States)
LeBlanc, Samuel
(Bay Area Environmental Research Inst. Moffett Field, CA, United States)
Pistone, Kristina
(Bay Area Environmental Research Inst. Moffett Field, CA, United States)
Redemann, Jens
(University of Oklahoma Norman, OK, United States)
Segal-Rozenhaimer, Michal
(Bay Area Environmental Research Inst. Moffett Field, CA, United States)
Shinozuka, Yohei
(NASA Ames Research Center Moffett Field, CA, United States)
Tsay, Si-Chee
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
August 1, 2019
Publication Date
July 4, 2019
Publication Information
Publication: Atmospheric Measurement Techniques
Publisher: Copernicus Publications
Volume: 12
Issue: 7
ISSN: 1867-1381
e-ISSN: 1867-8548
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN70813
Funding Number(s)
CONTRACT_GRANT: NNG11HP16A
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
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