DARLA: Data Assimilation and Remote Sensing for Littoral Applications

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.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2017
Accession Number
AD1029378

Entities

People

  • Alexander Kuropov
  • Andrew T. Jessup
  • Britt Raubenheimer
  • C. Chris Chickadel
  • Gordon Farquharson
  • Jim Thomson
  • Merrick C. Haller
  • Robert A. Holman
  • Steve Steve
  • Tuba Özkan-Haller

Organizations

  • University of Washington

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Assimilation
  • Bathymetry
  • Columbia River
  • Dynamics
  • Earth Sciences
  • Frequency
  • Geography
  • High Resolution
  • Measurement
  • Observation
  • Physics
  • Physics Laboratories
  • Remote Sensing
  • Research Facilities
  • Surface Waves
  • Synthetic Aperture Radar
  • Turbulent Mixing

Fields of Study

  • Environmental science

Readers

  • Coastal Oceanography