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

Abstract

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 Ris et al. (1995). 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 model inputs; and (3) to validate the improvement in the results from the SWAN model against ground-truth data.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA551205

Entities

People

  • David R. Lyzenga
  • David T. Walker

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Agreements
  • Assimilation
  • Civil Engineering
  • Earth Sciences
  • Engineering
  • Images
  • Information Operations
  • Littoral Zones
  • Ocean Waves
  • Physical Oceanography
  • Radar
  • Radar Images
  • Remote Sensing
  • Research Facilities
  • Spectra
  • Synthetic Aperture Radar
  • Waves

Readers

  • Coastal Oceanography
  • Computational Modeling and Simulation
  • Radar Systems Engineering.

Technology Areas

  • Space
  • Space - Space Objects