Assimilation of Coastal Radar Surface Current Measurements in Shelf Circulation Models
OREGON STATE UNIV CORVALLIS COLL OF OCEANIC AND ATMOSPHERIC SCIENCES
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We aim to assess the amount of information the surface currents can provide about the state of the ocean at depth, to find the best approach for the extraction of this information, and to assess the necessary ingredients that the dynamical models and assimilation schemes must retain for successful use of the surface data in practical analysis and prediction systems. First, we aim to assess the possible retrieval of information about the ocean state at depth from surface data in a simple linear model. We will perform simulation experiments in which we will apply an optimal data assimilation scheme to our simple model in order to obtain an inverse solution that is an optimal fit to the model and to the data. Our first model is sufficiently simple that significant progress can be made through the use of analytical tools alone. The focus is on quantifying the information content of the surface data, and how the data, data errors, and other assumed error statistics influence the inverse solution. Second, we aim to compare the above retrieval of depth information with retrieval using suboptimal assimilation schemes, again using a simple model to allow analytic progress and direct comparison. Third, we aim to use these comparisons as guidance in the selection of computationally efficient assimilation schemes for use with fuller dynamical models.
- Physical and Dynamic Oceanography