Assimilation of Sea Surface Temperature Data in a Numerical Ocean Circulation Model. A Study of the Water Mass Formation
The response of the water masses to atmospheric forcing is studied using Bryan and Cox GCM, which is forced with twice daily atmospheric analysis data of the NMC. The model simulates, along with the other fields, Sea Surface Temperature (SST). Model simulated SST is regarded as synthetic observation data, and is assimilated in further experiments with the aim to improve model estimates in the case of imperfect atmospheric forcing. Model results reveal criteria for data sampling, which depend on the characteristic time scales of the convection events. It is shown that model simulated water mass characteristics could be substantially improved if data assimilation is in accord with the specific physical processes.
KeywordsWind Stress Data Assimilation Atmospheric Data Assimilation Experiment Cold Intermediate Layer
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