Title :

Validation of soar viirs over-water aerosol retrievals and context within the global satellite aerosol data record

Author(s) :

Sayer, Andrew M. [Auteur]
NASA Goddard Space Flight Center [GSFC]
Hsu, N. Christina [Auteur]
NASA Goddard Space Flight Center [GSFC]
Lee, Jaehwa [Auteur]
Earth Science System Interdisciplinary Center [College Park] [ESSIC]
Kim, Woogyung V. [Auteur]
NASA Goddard Space Flight Center [GSFC]
Earth Science System Interdisciplinary Center [College Park] [ESSIC]
Doubovik, Oleg [Auteur]
Laboratoire d’Optique Atmosphérique - UMR 8518 [LOA]
Dutcher, Stevent [Auteur]
Space Science and Engineering Center [Madison] [SSEC]
Huang, Dong [Auteur]
NASA Goddard Space Flight Center [GSFC]
Litvinov, Pavel [Auteur]
Laboratoire d’Optique Atmosphérique - UMR 8518 [LOA]
Lyapustin, Alexei [Auteur]
NASA Goddard Space Flight Center [GSFC]
Tackett, Jason L. [Auteur]
Winker, David M. [Auteur]
NASA Langley Research Center [Hampton] [LaRC]

Journal title :

Journal of Geophysical Research: Atmospheres

Abbreviated title :

J. Geophys. Res.-Atmos.

Volume number :

123

Publication date :

2018-12-16

ISSN :

2169-897X

English keyword(s) :

aerosol
VIIRS
validation
water
remote sensing

HAL domain(s) :

Physique [physics]

English abstract : [en]

This study validates aerosol properties retrieved using a Satellite Ocean Aerosol Retrieval(SOAR) algorithm applied to Visible Infrared Imaging Radiometer Suite (VIIRS) measurements, from Version1 of the VIIRS Deep Blue ...
Show more >This study validates aerosol properties retrieved using a Satellite Ocean Aerosol Retrieval(SOAR) algorithm applied to Visible Infrared Imaging Radiometer Suite (VIIRS) measurements, from Version1 of the VIIRS Deep Blue data set. SOAR is the over-water complement to the over-land Deep Blue algorithmand has two processing paths: globally, 95% of pixels are processed with the full retrieval algorithm, whilethe 5% of pixels in shallow or turbid (mostly coastal) waters are processed with a backup algorithm. AerosolRobotic Network (AERONET) data are used to validate and compare the midvisible (550 nm) aerosol opticaldepth (AOD), Ångström exponent (AE), and fine mode fraction of AOD at 550 nm (FMF). AOD uncertainty isshown to be approximately±(0.03+10%) for the full and±(0.03+15%) for the backup algorithms, with asmall positive median bias around 0.02. When AOD is below about 0.2, the AE and FMF have small negativeoffsets from AERONET around−0.15 and−0.04, respectively. For higher AOD, AE is less offset and themagnitudes of differences versus AERONET are about±0.2 and±0.14, respectively. Aerosol-typeclassifications provided by SOAR are found to be reasonable, matching optical-based classifications fromAERONET over 80% of the time. Spatial and temporal patterns of AOD and AE are also compared with thoseof other contemporary over-water satellite aerosoldata sets; dependent on region, the satellite data setsshow varying levels of consistency, with SOAR broadly in-family, and the largest discrepancies in regionswith persistent heavy cloud cover.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

• Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518

Submission date :

2024-01-30T11:45:54Z
2024-02-26T15:07:36Z