Projection-Based Assimilation of Satellite-Derived Surface Data in an Indian Ocean Circulation Model
Usefulness of satellite-derived surface data for nowcasting of oceanic circulation features has been explored in the study. Two types of surface data, namely the sea surface temperature (SST) and the sea level anomaly (SLA), have been used in various data assimilation experiments to ascertain their utility when assimilated in a sigma coordinate ocean circulation model configured for the Indian Ocean. Surface information has been projected into the vertical using predetermined correlation functions in combination with optimal interpolation. Evaluation of the assimilation skill has been carried out by comparing the assimilated results with independent observations. Combined assimilation of satellite-derived SST and SLA shows improved subsurface temperature at all depths, barring the thermocline region. As regards other variables such as the model simulated SLA and sea surface current, there is a regional dependence of assimilation. It could be, however, concluded that the combined assimilation is optimal in an overall sense.
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Document Type: Research Article
Affiliations: Atmospheric and Oceanic Sciences Group,Space Applications Centre, Ahmedabad, India
Publication date: April 1, 2012