Assimilation of Synthetic-Aperture Radar Data into Navy Wave Prediction Models.

摘要

The long-term goal is to develop methods utilizing synthetic aperture radar (SAR) data to improve predictions for the littoral zone obtained from Navy wave forecasting models in this case the SWAN model of Booij, Ris & Holthuijsen (1999). There are three basic objectives to this program: (1) to develop a forward prediction capability for the expected value of the SAR-image spectrum, with the SWAN wave-spectrum prediction as input; (2) to develop methods to bring the SWAN-based SAR-spectrum prediction into agreement with satellite-based SAR observations by adjusting the SWAN model inputs; and (3) to validate the improvement in the results from the SWAN model against ground-truth data.