Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations
Centre National de la Recherche Scientifique · Université de Lille · +1 more institution
Abstract
Abstract. The 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 micro-satellite 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…
Citation impact
- FWCI
- 20.98
- Percentile
- 100%
- References
- 126
Authors
9- ОDОleg DubovikCorresponding
Centre National de la Recherche Scientifique, Université de Lille, Laboratoire d'Optique Atmosphérique
- MHM. Herman
Centre National de la Recherche Scientifique, Université de Lille, Laboratoire d'Optique Atmosphérique
- AHAndriy Holdak
Centre National de la Recherche Scientifique, Université de Lille, Laboratoire d'Optique Atmosphérique
- TLTatyana Lapyonok
Centre National de la Recherche Scientifique, Université de Lille, Laboratoire d'Optique Atmosphérique
- DTD. Tanré
Centre National de la Recherche Scientifique, Université de Lille, Laboratoire d'Optique Atmosphérique
Topics & keywords
- Aerosol
- Remote sensing
- Satellite
- Inversion (geology)
- Algorithm
- Computer science
- Polarimetry
- Environmental science