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Updated: Apr 25, 2026

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
Published on: June 13, 2020
Revisiting sea surface mean square slopes with anisotropy slope distribution and spaceborne lidar measurements
Abstract:
The applicability of the anisotropy Gram-Charlier slope distribution for global ocean roughness characterization is assessed using the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) and the Advanced Microwave Scanning Radiometer 2 (AMSR-2) matchup dataset. A revisited mean square slope (MSS) and wind speed relationship is proposed and remains consistent with the Hu et al. model [Atmos. Chem. Phys.8, 3593 (2008)10.5194/acp-8-3593-2008] in the wind speed inversion, yielding comparable deviation values to the AMSR-2 product of 0.11 and -0.12ms-1, R2 of 0.83 and 0.84, and RMSE of 1.27 and 1.12ms-1, respectively. Forward sea surface backscatter simulations combining different mean square slope models with slope distributions demonstrate that incorporating anisotropy can improve the directional sensitivity. The general anisotropy slope distribution with a matched MSS parameter can improve the representation of the surface azimuthal structure in optical remote sensing and supports a more physically consistent interpretation of spaceborne lidar measurements.
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