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Statistically Optimized Inversion Algorithm for Enhanced Retrieval of Aerosol Properties from Spectral Multi-Angle Polarimetric Satellite ObservationsThe proposed development is an attempt to enhance aerosol retrieval by emphasizing statistical optimization in inversion of advanced satellite observations. This optimization concept improves retrieval accuracy relying on the knowledge of measurement error distribution. Efficient application of such optimization requires pronounced data redundancy (excess of the measurements number over number of unknowns) that is not common in satellite observations. The POLDER imager on board the PARASOL microsatellite registers spectral polarimetric characteristics of the reflected atmospheric radiation at up to 16 viewing directions over each observed pixel. The completeness of such observations is notably higher than for most currently operating passive satellite aerosol sensors. This provides an opportunity for profound utilization of statistical optimization principles in satellite data inversion. The proposed retrieval scheme is designed as statistically optimized multi-variable fitting of all available angular observations obtained by the POLDER sensor in the window spectral channels where absorption by gas is minimal. The total number of such observations by PARASOL always exceeds a hundred over each pixel and the statistical optimization concept promises to be efficient even if the algorithm retrieves several tens of aerosol parameters. Based on this idea, the proposed algorithm uses a large number of unknowns and is aimed at retrieval of extended set of parameters affecting measured radiation.
Document ID
20120013673
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
External Source(s)
doi:10.5194/amt-4-975-2011
Authors
Dubovik, O (Lille-1 Univ. Villeneuve-d'Asoq, France)
Herman, M. (Lille-1 Univ. Villeneuve-d'Asoq, France)
Holdak, A. (Lille-1 Univ. Villeneuve-d'Asoq, France)
Lapyonok, T. (Lille-1 Univ. Villeneuve-d'Asoq, France)
Taure, D. (Lille-1 Univ. Villeneuve-d'Asoq, France)
Deuze, J. L. (Lille-1 Univ. Villeneuve-d'Asoq, France)
Ducos, F. (Lille-1 Univ. Villeneuve-d'Asoq, France)
Sinyuk, A. (Sigma Space Corp. Lanham, MD, United States)
Date Acquired
August 26, 2013
Publication Date
May 31, 2011
Publication Information
Publication: Atmospheric Measurement Techniques
Volume: 4
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC.JA.6435.2012
Distribution Limits
Public
Copyright
Public Use Permitted.

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