Online Approximations for Wind-Field Models
We study online approximations to Gaussian process models for spatially distributedsystems. We apply our methodto the prediction of wind fields over the ocean surface from scatterometer data. Our approach combines a sequential update of a Gaussian approximation to the posterior with a sparse representation that allows to treat problems with a large number of observations.