Abstract's details

Waves Mean Square Slope estimation from CFOSAT/SWIM measurements

Jean-François Poustis (CS Group, France)


Baptiste Gombert (CLS, France); Danièle Hauser (LATMOS, France); Amanda Gounou (CS Group, France); Aouf Lotfi (METEO France, France); Cédric Tourain (CNES, France)

Event: 2022 Ocean Surface Topography Science Team Meeting

Session: CFOSAT

Presentation type: Type Oral

Launched in 2018, the CFOSAT mission provides information at global scale about the sea-state and waves main characteristics such as height, wavelength and direction. This information is derived from the normalized cross-section of the ocean surface radar backscattered signal measured by the on-board SWIM instrument. However, waves main characteristics are not sufficient to accurately describe the sea-state and extra parameters should be considered such as waves mean square slope (mss).

It is well documented that the surface waves slope distribution, hence the mss, can be related to the normalized cross-section. In this work, it is assumed that the waves slope distribution is almost Gaussian and a two parameters Student law is fitted to the SWIM measurements. The inversion of these two parameters gives an information about the mss and the deviation of the slope distribution from the Gaussian distribution. The results on the mss will be compared to results derived from optical models and the differences will be discussed.


Oral presentation show times:

Room Start Date End Date
Sala Pasinetti Thu, Nov 03 2022,09:15 Thu, Nov 03 2022,09:30
Jean-François Poustis
CS Group