Abstract
Assimilation of 3D observed salinity and temperature data obtained by steady observation stations using 4D-Var (four dimensional variational method) are applied and tested in Osaka Bay. Data assimilation becomes fully effective after around 8 hour calculation. Appropriate horizontal and vertical correlation scales are found to be 10km and more than 3m by calibration with the consideration of density distribution under the influence of river plume and location of the observation stations. Water quality model is modified to represent hypoxia better and run with 4dvar flow model. Without direct data assimilation of dissolved oxygen, the improvement of density profiles has an effect on that of DO profiles.
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