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| Titel |
Enhancement of aerosol characterization using synergy of lidar and sun-photometer coincident observations: the GARRLiC algorithm |
| VerfasserIn |
A. Lopatin, O. Dubovik, A. Chaikovsky, P. Goloub, T. Lapyonok, D. Tanré, P. Litvinov |
| 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. 8 ; Nr. 6, no. 8 (2013-08-20), S.2065-2088 |
| Datensatznummer |
250085039
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| Publikation (Nr.) |
 copernicus.org/amt-6-2065-2013.pdf |
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| Zusammenfassung |
This paper presents the GARRLiC algorithm (Generalized Aerosol Retrieval from
Radiometer and Lidar Combined data) that simultaneously inverts coincident
lidar and radiometer observations and derives a united set of aerosol
parameters. Such synergetic retrieval results in additional enhancements in
derived aerosol properties because the back-scattering observations by lidar
improve sensitivity to the columnar properties of aerosol, while radiometric
observations provide sufficient constraints on aerosol amount and type that
are generally missing in lidar signals.
GARRLiC is based on the AERONET algorithm, improved to invert combined
observations by radiometer and multi-wavelength elastic lidar observations.
The algorithm is set to derive not only the vertical profile of total aerosol
concentration but it also differentiates between the contributions of fine
and coarse modes of aerosol. The detailed microphysical properties are
assumed height independent and different for each mode and derived as a part
of the retrieval. The GARRLiC inversion retrieves vertical distribution of
both fine and coarse aerosol concentrations as well as the size distribution
and complex refractive index for each mode.
The potential and limitations of the method are demonstrated by the series of
sensitivity tests. The effects of presence of lidar data and random noise on
aerosol retrievals are studied. Limited sensitivity to the properties of the
fine mode as well as dependence of retrieval accuracy on the aerosol optical
thickness were found. The practical outcome of the approach is illustrated by
applications of the algorithm to the real lidar and radiometer observations
obtained over Minsk AERONET site. |
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