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\begin{document}

\title{High-resolution post-process corrected satellite AOD}



\author[1]{Henri Taskinen}%
\author[1]{Arttu Väisänen}%
\author[2]{Lauri Hatakka}%
\author[2]{Timo H. Virtanen}%
\author[1]{Timo Lähivaara}%
\author[2]{Antti Arola}%
\author[1]{Ville Kolehmainen}%
\author[2]{Antti Lipponen}%
\affil[1]{University of Eastern Finland}%
\affil[2]{Finnish Meteorological Institute}%


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  \date{June 13, 2024}


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\begin{abstract}
Poor air quality poses a great threat to human health. Accurate
high-resolution satellite remote sensing of atmospheric aerosols would
highly benefit satellite-based air quality estimates. We have developed
and validated a post-process correction and downscaling approach for
satellite remote sensing of aerosols. We use NASA's Moderate Resolution
Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD) over
Washington D.C. - Baltimore area during the Distributed Regional Aerosol
Gridded Observation Networks (DRAGON) campaign in 2011 to evaluate our
approach. We derive and evaluate the AOD fields with high 250 meter
resolution. The results show that the post-process correction approach
is suitable for deriving downscaled, high-resolution AOD estimates and
significantly improves the accuracy of the AOD retrievals.%
\end{abstract}%



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