Accession Number:

ADA626116

Title:

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

Descriptive Note:

Annual rept.

Corporate Author:

VERIDIAN SYSTEMS DIVISION INC ANN ARBOR MI

Personal Author(s):

Report Date:

2001-09-30

Pagination or Media Count:

5.0

Abstract:

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.

Subject Categories:

  • Physical and Dynamic Oceanography
  • Active and Passive Radar Detection and Equipment

Distribution Statement:

APPROVED FOR PUBLIC RELEASE