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


Personal Author(s) : Jessup,Andrew T ; Holman,Robert A ; Chickadel,Chris ; Farquharson,Gordon ; Thomson,Jim ; Haller,Merrick ; Kuropov,Alexander ; Ozkan-Haller,Tuba ; Steve,Steve ; Raubenheimer,Britt


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1029378.pdf


Report Date : 01 Mar 2017


Pagination or Media Count : 15


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.


Descriptors :   synthetic aperture radar , remote sensing , turbulent mixing , surface waves , wave power , assimilation , frequency bands , high resolution , measurement , algorithms , bathymetry , LITTORAL ZONES


Subject Categories : Physical and Dynamic Oceanography
      Active & Passive Radar Detection & Equipment


Distribution Statement : APPROVED FOR PUBLIC RELEASE