English

Two-dimensional structure functions to characterize convective rolls in the marine atmospheric boundary layer from Sentinel-1 SAR images

Information Theory 2022-03-07 v2 Signal Processing math.IT Atmospheric and Oceanic Physics Data Analysis, Statistics and Probability Fluid Dynamics

Abstract

We study the shape of convective rolls in the Marine Atmospheric Boundary Layer from Synthetic Aperture Radar images of the ocean. We propose a multiscale analysis with structure functions which allow an easy generalization to analyse high-order statistics and so to finely describe the shape of the rolls. The two main results are : 1) second order structure function characterizes the size and direction of rolls just like correlation or power spectrum do, 2) high order statistics can be studied with skewness and Flatness which characterize the asymmetry and intermittency of rolls respectively. From the best of our knowledge, this is the first time that the asymmetry and intermittency of rolls is shown from radar images of the ocean surface.

Keywords

Cite

@article{arxiv.2202.08538,
  title  = {Two-dimensional structure functions to characterize convective rolls in the marine atmospheric boundary layer from Sentinel-1 SAR images},
  author = {Carlos Granero-Belinchon and Stéphane G. Roux and Nicolas B. Garnier and Pierre Tandeo and Chapron Bertrand and Alexis Mouche},
  journal= {arXiv preprint arXiv:2202.08538},
  year   = {2022}
}