Fabrice Ducos

About

Fabrice Ducos is a leading figure in aerosol remote sensing, with his work centered on multi-angular polarimetry, dust aerosol characterization, and the validation of advanced retrieval algorithms. His most significant contribution is the validation of the GRASP (Generalized Retrieval of Atmosphere and Surface Properties) algorithm using POLDER/PARASOL data, a study that has garnered 227 citations and demonstrated the power of multi-angular polarimetry for comprehensive aerosol monitoring. Ducos has also pioneered the characterization of dust aerosols in the infrared using IASI observations, cross-referencing with multiple satellite sensors (PARASOL, MODIS, MISR, CALIOP) and ground-based AERONET data, yielding 77 citations. His work extends to climatological analyses of aerosol component concentrations over Eastern Europe and East Asia, revealing regional variability and trends. Notably, Ducos developed the STEAR (Statistical Evaluation of Aerosol Retrieval) laboratory experiment, a novel method for evaluating retrieval algorithm fidelity. With over 400 total citations across his top papers, his research underpins critical advancements in satellite-based aerosol monitoring, directly informing climate modeling and air quality assessments.

Research Focus

Key Achievements

Top Papers

1. 1
   Validation of GRASP algorithm product from POLDER/PARASOL data and assessment of multi-angular polarimetry potential for aerosol monitoring

   227 citations · 2020
2. 2
   Characterisation of dust aerosols in the infrared from IASI and comparison with PARASOL, MODIS, MISR, CALIOP, and AERONET observations

   77 citations · 2013
3. 3
   Variability of aerosol properties over Eastern Europe observed from ground and satellites in the period from 2003 to 2011

   48 citations · 2013
4. 4
   Climatology of aerosol component concentrations derived from multi-angular polarimetric POLDER-3 observations using GRASP algorithm

   41 citations · 2022
5. 5
   A Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms

   40 citations · 2019
6. 6
   Aerosol variability over East Asia as seen by POLDER space‐borne sensors

   40 citations · 2010
7. 7
   Validation of GRASP algorithm product from POLDER/PARASOL dataand assessment of multi-angular polarimetry potential for aerosolmonitoring

   15 citations · 2020
8. 8
   Retrieval of microphysical properties of dust aerosols from extinction, backscattering and depolarization lidar measurements using various particle scattering models

   6 citations · 2025
9. 9
   Characterization of dust aerosols in the infrared from IASI and comparison with PARASOL, MODIS, MISR, CALIOP, and AERONET observations

   4 citations · 2012

Key Collaborators

Contact & Links