Data Assimilation with sparse GPs
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چکیده
Inferring wind-fields from remote observations poses two issues that need to be tackled: the first one is to represent two-dimensional Gaussian fields, or processes (for each location we have random variables specifying the X-, and Y-directions. The second problem is the inference with the inherently non-tractable likelihood model, governed by the underlying physics governing the wave formation and light reflection from water surfaces.
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