Statistical analysis of the sea surface backscattered field from Monte Carlo simulations

In this paper, for moderate winds, the statistics of the field backscattered from sea surfaces are studied by simulation, by using a numerical model. It is observed that the field phase and amplitude are close to a uniform distribution and a Rayleigh distribution, respectively. However, reducing the radar resolution limit induces a departure from the Rayleigh distribution. This departure depends on several parameters: it gets stronger when the wind speed increases or the incidence angle decreases.

[1]  Javier Gismero-Menoyo,et al.  Statistical Analysis of a High-Resolution Sea-Clutter Database , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[2]  C. Guérin,et al.  A critical survey of approximate scattering wave theories from random rough surfaces , 2004 .

[3]  K. Katsaros,et al.  A Unified Directional Spectrum for Long and Short Wind-Driven Waves , 1997 .

[4]  R. Garello.  The MODENA project: Modeling and simulation of the maritime environment remotely sensed by radar , 2008, OCEANS 2008.

[5]  R. Dusséaux,et al.  Effect of the illumination length on the statistical distribution of the field scattered from one-dimensional random rough surfaces: analytical formulae derived from the small perturbation method , 2007 .

[6]  R Garello,et al.  Modeling and simulation of sea surface radar observations , 2010, OCEANS 2010 MTS/IEEE SEATTLE.

[7]  D. Thompson,et al.  Ocean microwave backscatter distributions , 1994 .

[8]  Bertrand Chapron,et al.  Study of the RAR backscattered field statistics from sea surfaces under moderate winds , 2010 .

[9]  Bertrand Chapron,et al.  Radar sea surface modeling and simulation , 2011, OCEANS'11 MTS/IEEE KONA.

[10]  Bertrand Chapron,et al.  Scattering From Nonlinear Gravity Waves: The “Choppy Wave” Model , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[11]  Jakov V. Toporkov,et al.  Statistical Properties of Low-Grazing Range-Resolved Sea Surface Backscatter Generated Through Two-Dimensional Direct Numerical Simulations , 2007, IEEE Transactions on Geoscience and Remote Sensing.