Addressing information content limitations in the inversion of remote sensing observations: strategies of evaluation and optimizing aerosol models using GRASP algorithm

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ADS bibcode
2020AGUFMA211.0007D
year
2020
Listed Authors
Dubovik, O.
Lytvynov, P.
Lopatin, A.
Lapyonok, T.
Chen, C.
Fuertes, D.
Ducos, F.
Derimian, Y.
Torres, B.
Li, L.
Karol, Y.
Herrera, M.
Herreras, M.
Aspetsberger, M.
Marth, D.
Bindreiter, L.
Hangler, A.
Federspiel, C.
Listed Institutions
Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France
GRASP SAS, Remote Sensing Developments, Lille, France
GRASP SAS, Remote Sensing Developments, Lille, France
Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France
GRASP SAS, Remote Sensing Developments, Lille, France
GRASP SAS, Remote Sensing Developments, Lille, France
Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France
Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France
Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France
Chinese Academy of Meteorological Sciences, State Key Laboratory of Severe Weather (LASW) and Institute of Atmospheric Composition, Beijing, China
GRASP SAS, Remote Sensing Developments, Lille, France
Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France; CITEDEF, CEILAP-UNIDEF, Province de Buenos Aires, Argentina
GRASP SAS, Remote Sensing Developments, Lille, France; Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France
Cloudflight GmbH, Linz, Austria
Cloudflight GmbH, Linz, Austria
Cloudflight GmbH, Linz, Austria
Cloudflight GmbH, Linz, Austria
Cloudflight GmbH, Linz, Austria

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