- 1Hefei Institutes of Physical Science, Chinese Academy of Sciences, Anhui Institute of Optics and Fine Mechanics, Hefei, China (cheng.chen@grasp-sas.com)
- 2GRASP-SAS, Remote Sensing Developments, F-59000 Lille, France
- 3Univ. Lille, CNRS, UMR 8518 - LOA - Laboratoire d’Optique Atmosphérique, F-59000 Lille, France
- 4NASA Goddard Space Flight Center, Greenbelt, Maryland, 20771, USA
- 5R&D Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), 3730AE De Bilt, the Netherlands
- 6State Environmental Protection Key Laboratory of Satellite Remote Sensing & Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Satellite remote sensing has greatly advanced our understanding of global aerosol distributions, yet substantial uncertainties persist over dryland regions where coarse-mode aerosols and bright heterogeneous surfaces remain particularly challenging for current retrieval algorithms. Validation frameworks that rely heavily on AERONET are spatially imbalanced, with drylands markedly underrepresented, leading to systematic biases and overly optimistic global performance assessments. Our analysis shows that disagreement between major satellite aerosol optical depth products is disproportionately concentrated in drylands with low Ångström Exponent values, highlighting coarse-mode dominant regions as a critical blind spot in global aerosol monitoring. We discuss key retrieval challenges and outline priorities for algorithm development, expanded observations, and stratified validation strategies to better constrain aerosol radiative effects and climate impacts over drylands.
How to cite: Chen, C., Litvinov, P., Dubovik, O., Eck, T. F., Lind, E. S., de Leeuw, G., and Li, Z.: Coarse-Mode Aerosols over Bright Surfaces: Challenges and Uncertainties, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8557, https://doi.org/10.5194/egusphere-egu26-8557, 2026.