A three-dimensional variational data assimilation (3DVAR) system (ROMS3DAR) has been developed in the framework of the Regional Ocean Modeling System (ROMS). This system enables the 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, ROMS3DVAR utilizes several novel strategies. These strategies include the implementation of three-dimensional anisotropic and inhomogeneous error correlations, application of particular weak dynamic contraints, and implementation of efficient and reliable algorithms for minimizing the cost function. ROMS3DVAR has been implemented in a quasi-real-time fashion in support of both the Southern and Central California Coastal Ocean Observing System (SCCOOS and CenCOOS). ROMS3DVAR assimilates 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. The evaluation showed useful forecast skills.
Surface current observations made by high-frequency radar in the Monterey Bay region during August 2003 are
assimilated using a three-dimensional variational data assimilation scheme developed for the Regional Ocean Modeling
System (ROMS-DAS). The observed upwelling and relaxation surface currents in Monterey Bay are well recovered in
the analysis. A new mapping method based on ROMS-DAS is also proposed. This method is based on a variational
algorithm for the calculation of stream function and velocity potential from given velocity fields, and has the ability to
interpolate vectors over any irregular domain.
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