Analysis of MAIAC dust aerosol retrievals from MODIS over North Africa

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https://cab.unime.it/journals/index.php/AAPP/article/view/C1V89S1P061

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https://doi.org/10.1478/C1V89S1P061
 http://hdl.handle.net/11603/35939

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https://orcid.org/0000-0002-5576-6711
 https://orcid.org/0000-0001-6514-5233

Date

2011-09-15

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journal articles
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Citation of Original Publication

Lyapustin, A., Y. Wang, C. Hsu, O. Torres, G. Leptoukh, O. Kalashnikova, and S. Korkin. “Analysis of MAIAC Dust Aerosol Retrievals from MODIS over North Africa.” Atti Della Accademia Peloritana Dei Pericolanti - Classe Di Scienze Fisiche, Matematiche e Naturali 89, no. S1 (September 15, 2011). https://doi.org/10.1478/C1V89S1P061.

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This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
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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.