Detection of diurnal cycle of ocean surface wind from space-based observations
We derive the diurnal cycle of ocean surface vector wind from three contemporary space-based wind sensors: OSCAT, WindSAT, and ASCAT, assuming the diurnal signal is embedded in the deviation from the daily mean as measured by ascending and descending passes of each sensor. A Monte Carlo simulation technique is used to estimate uncertainties. Strong diurnal signals are found in coastal regions and tropical oceans. Their geographical and seasonal variations are described.
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Document Type: Research Article
Affiliations: Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Publication date: July 18, 2014