DARLA: Data Assimilation and Remote Sensing for Littoral Applications
Abstract
Our long-term goal is 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 will improve environmental parameter estimation via remote sensing fusion, determine the success of using remote sensing data to drive DA models, and produce a dynamically consistent representation of the wave, circulation, and bathymetry fields in complex environments.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2011
- Accession Number
- ADA557219
Entities
People
- Alexander Kuropov
- Andrew T. Jessup
- Britt Raubenheimer
- C. Chris Chickadel
- Gordon Farquharson
- Jim Thomson
- Merrick C. Haller
- Robert A. Holman
- Steve Elgar
- Tuba Özkan-Haller
Organizations
- University of Washington