Two Decades Observing Smoke Above Clouds in the South-Eastern Atlantic Ocean: Deep Blue Algorithm Updates and Validation with ORACLES Field Campaign Data

Sayer, Andrew M ; Hsu, N Christina ; Lee, Jaehwa ; Kim, Woogyung V ; Burton, Sharon ; Fenn, Marta A ; Ferrare, Richard A ; Kacenelenbogen, Meloe ; LeBlanc, Samuel ; Pistone, Kristina(Bay Area Environmental Research Inst, Moffett Field, CA, United States)

关键词: AEROSOLS;    ALGORITHMS;    ANNUAL VARIATIONS;    ATLANTIC OCEAN;    BIOMASS BURNING;    CLOUD COVER;    CLOUD PHYSICS;    DUST;    IMAGING SPECTROMETERS;    INFRARED IMAGERY;    MARINE METEOROLOGY;    MODIS (RADIOMETRY);    OPTICAL RADAR;    OPTICAL THICKNESS;    OZONE;    RADIOMETERS;    SEA-VIEWING WIDE FIELD-OF-VIEW SENSOR;    SMOKE;    SPECTROMETERS;    TOTAL OZONE MAPPING SPECTROMETER;   

RP-ID  :  GSFC-E-DAA-TN70813

学科分类：地球科学(综合)

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

This 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.