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| Titel |
Critical evaluation of the MODIS Deep Blue aerosol optical depth product for data assimilation over North Africa |
| VerfasserIn |
Y. Shi, J. Zhang, J. S. Reid, E. J. Hyer, N. C. Hsu |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 6, no. 4 ; Nr. 6, no. 4 (2013-04-12), S.949-969 |
| Datensatznummer |
250017871
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| Publikation (Nr.) |
 copernicus.org/amt-6-949-2013.pdf |
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| Zusammenfassung |
| Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue (DB)
collection 5.1 (c5.1) aerosol optical depth (AOD) data were analyzed and
evaluated for the first time from an independent research group using eight
years of Terra (2000–2007) and Aqua (2002–2009). Uncertainties in the DB AOD
were identified and studied, and our results show that the performance of DB
c5.1 is strongly dependent on surface albedo and aerosol microphysics. Using
data with only "very good" quality assurance, the root-mean-square error
(RMSE) of the DB Terra (Aqua) AOD is 0.24 (0.19) when validated against
AERONET. Expanding upon the uncertainty analysis, the potential of applying
the DB products for aerosol assimilation was explored. Empirical
corrections and quality assurance procedures were developed for North Africa
and the Arabian Peninsula to create a data assimilation (DA)-quality DB
product. After applying those procedures, the RMSE is reduced by 18.1%
(18.2%) for Terra (Aqua) DB data. Prognostic error models of
0.069 + 0.175 × AODTerra_DB with no noise floor and
0.048 + 0.182 × AODAqua_DB with a noise
floor of 0.104 were found for DA-quality Terra and Aqua DB data,
respectively. These procedures were also applied to two months of DB
collection 6 (c6) AOD data, and reductions in RMSE were found, indicating
that the algorithms developed for c5.1 data are applicable to c6 data to
some extent. |
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