Validation of an Improved Statistical Theory for Sea Surface Whitecap Coverage Using Satellite Remote Sensing Data

Area of Science:

• Oceanography
• Fluid dynamics
• Atmospheric science

Background:

• Sea surface whitecap coverage is influenced by various factors including energy ratios and wave spectrum characteristics.
• Existing statistical theories for whitecap coverage require validation and improvement.

Purpose of the Study:

• To validate an improved statistical theory for predicting sea surface whitecap coverage.
• To assess the sensitivity of whitecap coverage to key parameters like energy ratios and wave spectrum width.

Main Methods:

• Theoretical analysis of factors influencing whitecap formation.
• Validation using satellite-derived whitecap coverage data from the westerly wind zone.
• Comparison of the improved theory's performance against other methods.

Main Results:

• Whitecap coverage demonstrates higher sensitivity to the wave spectrum width parameter () compared to the kinetic to potential energy ratio (θ).
• The improved statistical theory shows suitability for predicting whitecap coverage in regions with rough winds and waves.
• The improved theory exhibited superior performance compared to other methods when validated against observational data.

Conclusions:

• The improved statistical theory provides a more accurate prediction of sea surface whitecap coverage, particularly under challenging sea conditions.
• The findings highlight the importance of the wave spectrum width parameter in whitecap dynamics.
• The validated theory offers a valuable tool for oceanographic and atmospheric research.