Obukhov Length Estimation From Spaceborne Radars
Owen O’Driscoll (Technopôle Brest-Iroise)
Alexis Mouche (Technopôle Brest-Iroise)
Bertrand Chapron (Technopôle Brest-Iroise)
Marcel Kleinherenbrink (TU Delft - Mathematical Geodesy and Positioning)
Francisco Dekker (TU Delft - Mathematical Geodesy and Positioning)
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Abstract
Two air-sea interaction quantification methods are employed on synthetic aperture radar (SAR) scenes containing atmospheric-turbulence signatures. Quantification performance is assessed on Obukhov length L, an atmospheric surface-layer stability metric. The first method correlates spectral energy at specific turbulence-spectrum wavelengths directly to L. Improved results are obtained from the second method, which relies on a machine-learning algorithm trained on a wider array of SAR-derived parameters. When applied on scenes containing convective signatures, the second method is able to predict approximately 80% of observed variance with respect to validation. Estimated wind speed provides the bulk of predictive power while parameters related to the kilometer-scale distribution of spectral energy contribute to a significant reduction in prediction errors, enabling the methodology to be applied on a scene-by-scene basis. Differences between these physically based estimates and parameterized numerical models may guide the latter's improvement.
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