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| Titel |
Cloud screening and quality control algorithm for star photometer data: assessment with lidar measurements and with all-sky images |
| VerfasserIn |
D. Pérez-Ramírez, H. Lyamani, F. J. Olmo, D. N. Whiteman, F. Navas-Guzmán, L. Alados-Arboledas |
| 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 ; 5, no. 7 ; Nr. 5, no. 7 (2012-07-11), S.1585-1599 |
| Datensatznummer |
250003001
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| Publikation (Nr.) |
 copernicus.org/amt-5-1585-2012.pdf |
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| Zusammenfassung |
| This paper presents the development and set up of a cloud
screening and data quality control algorithm for a star photometer based on
CCD camera as detector. These algorithms are necessary for passive
remote sensing techniques to retrieve the columnar aerosol optical depth, δAe(λ), and
precipitable water vapor content, W, at nighttime. This cloud screening
procedure consists of calculating moving averages of δAe(λ) and W under
different time-windows combined with a procedure for detecting outliers.
Additionally, to avoid undesirable δAe(λ) and W fluctuations caused by the
atmospheric turbulence, the data are averaged on 30 min. The algorithm
is applied to the star photometer deployed in the city of Granada
(37.16° N, 3.60° W, 680 m a.s.l.; South-East of Spain) for the
measurements acquired between March 2007 and September 2009. The algorithm
is evaluated with correlative measurements registered by a lidar system and
also with all-sky images obtained at the sunset and sunrise of the previous
and following days. Promising results are obtained detecting cloud-affected
data. Additionally, the cloud screening algorithm has been evaluated under
different aerosol conditions including Saharan dust intrusion, biomass
burning and pollution events. |
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