HR: 0800h
AN: OS21A-06    [Abstracts]
TI: A three-dimensional variational data assimilation and observing system experiment system for the Southern California Coastal Ocean Observing System
AU: * Li, Z
EM: zhijin.li@jpl.nasa.gov
AF: Jet Propulsion Laboratory, 4800 Oak Grove Drive, Pasadena, CA 91109, United States
AU: Chao, Y
EM: yi.chao@jpl.nasa.gov
AF: Jet Propulsion Laboratory, 4800 Oak Grove Drive, Pasadena, CA 91109, United States
AU: Farrara, J D
EM: jfarrara@pacific.jpl.nasa.gov
AF: Raytheon Company, 299 N. Euclid, Suite 500, Pasadena, CA 91101, United States
AU: Wang, X
EM: xiao@pacific.jpl.nasa.gov
AF: Raytheon Company, 299 N. Euclid, Suite 500, Pasadena, CA 91101, United States
AU: McWilliams, J C
EM: jcm@atmos.ucla.edu
AF: University of California, Los Angeles, 405 Hilgard Ave, Los Anegeles, CA 90095, United States
AU: Ide, K
EM: kayo@atmos.ucla.edu
AF: University of California, Los Angeles, 405 Hilgard Ave, Los Anegeles, CA 90095, United States
AB: A three-dimensional variational data assimilation (3DVAR) system (ROMS-DAS) has been developed for the Regional Ocean Modeling System (ROMS). This system provides a capability of predicting meso- to small-scale variations with temporal scales from hours to days in the coastal oceans. To cope with the particular difficulties that result from complex coastlines and bottom topography, unbalanced flows and sparse observations, ROMS- DAS utilizes several novel strategies. These strategies include the implementation of three-dimensional anisotropic and inhomogeneous error correlations, application of particular weak dynamic constraints, and implementation of efficient and reliable algorithms for minimizing the cost function. ROMS-DAS has been implemented in a quasi-real-time fashion in support of the Southern California Coastal Ocean Observing System (SCCOOS) since Januray 2007. ROMS-DAS assimilats a variety of observations, including satellite sea surface temperatures and sea surface heights, High Frequency (HF) radar velocities, ship reports and other available temperature and salinity profiles. A preliminary evaluation of data assimilation and prediction showed encouraging performance.
UR: http:ourocean.jpl.nasa.gov
DE: 4217 Coastal processes
DE: 4255 Numerical modeling (0545, 0560)
DE: 4260 Ocean data assimilation and reanalysis (3225)
DE: 4262 Ocean observing systems
DE: 4263 Ocean predictability and prediction (3238)
SC: Ocean Sciences [OS]
MN: 2007 Joint Assembly