Accession Number:

AD1029378

Title:

DARLA: Data Assimilation and Remote Sensing for Littoral Applications

Descriptive Note:

Technical Report

Corporate Author:

University of Washington Seattle United States

Report Date:

2017-03-01

Pagination or Media Count:

15.0

Abstract:

Our long-term goal was to use remote sensing observations to constrain a data assimilation model of wave and circulation dynamics in an area characterized by a river mouth or tidal inlet and surrounding beaches. As a result of this activity, we have improved environmental parameter estimation via remote sensing fusion, determined the success of using remote sensing data to drive DA models, and produced a dynamically consistent representation of the wave, circulation, and bathymetry fields in complex environments.

Subject Categories:

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

Distribution Statement:

APPROVED FOR PUBLIC RELEASE