Estimates of remote sensing retrieval errors by the GRASP algorithm: application to ground-based observations, concept and validation
Milagros E. Herrera,Oleg Dubovik,Benjamin Torres,Tatyana Lapyonok,David Fuertes,Anton Lopatin,Pavel Litvinov,Cheng Chen,Jose Antonio Benavent-Oltra,Juan L. Bali,and Pablo R. Ristori
Department of Electrical, Electronic, Automatic Control Engineering and Applied Physics, Escuela Técnica Superior de Ingeniería y Diseño Industrial, Universidad Politécnica de Madrid, 28012 Madrid, Spain
Juan L. Bali
National Scientific and Technical Research Council (CONICET), C1425FQB CABA, Buenos Aires, Argentina
Pablo R. Ristori
CEILAP-UNIDEF (MINDEF – CONICET) – CITEDEF, B1603ALO Buenos Aires, Argentina
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Total article views: 2,924 (including HTML, PDF, and XML)
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Total article views: 1,946 (including HTML, PDF, and XML)
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Total article views: 978 (including HTML, PDF, and XML)
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This study deals with the dynamic error estimates of the aerosol-retrieved properties by the GRASP algorithm, which are provided for directly retrieved and derived parameters. Moreover, GRASP provides full covariance matrices that appear to be a useful approach for optimizing observation schemes and retrieval set-ups. The validation of the retrieved dynamic error estimates is done through real and synthetic measurements using sun photometer and lidar observations.
This study deals with the dynamic error estimates of the aerosol-retrieved properties by the...
