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Analysis of MAIAC dust aerosol retrievals from MODIS over North Africa

Authors :
S. Korkin
O. Kalashnikova
O. Torres
G. Leptoukh
C. Hsu
Y. Wang
A. Lyapustin
Source :
Atti della Accademia Peloritana dei Pericolanti : Classe di Scienze Fisiche, Matematiche e Naturali, Vol 89, Iss S1, Pp C1V89S1P061-1 (2011)
Publication Year :
2011
Publisher :
Accademia Peloritana dei Pericolanti, 2011.

Abstract

An initial comparison of aerosol optical thickness over North Africa for year 2007 was performed between the Deep Blue (DB) and Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithms complimeted with MISR and OMI data. The dust retrievals are performed using the model of spheroids. The new MAIAC algorithm has a better sensitivity to the small dust storms than the DB algorithm, but it also has biases in the brightest desert regions indicating the need for improvement. The quarterly averaged AOT values in the Bodele depression and western downwind transport region show a good agreement among MAIAC, MISR and OMI data, while the DB algorithm shows a somewhat different seasonality.

Subjects

Subjects :
Science (General)
Q1-390

Details

Language :
English, Italian
ISSN :
03650359 and 18251242
Volume :
89
Issue :
S1
Database :
Directory of Open Access Journals
Journal :
Atti della Accademia Peloritana dei Pericolanti : Classe di Scienze Fisiche, Matematiche e Naturali
Publication Type :
Academic Journal
Accession number :
edsdoj.2a22524086b444c992bad786fe52d4b3
Document Type :
article
Full Text :
https://doi.org/10.1478/C1V89S1P061