Weibull statistics in ocean analysis and prediction

This Ocean processes are typically sparsely observed, and their dynamics are high dimensional and nonlinear, so that the statistics are non-Gaussian. Successful and efficient analysis and prediction require these characteristics to be directly addressed in data assimilation, data fusion, and uncertainty quantification since methods using Gaussianity assumptions perform poorly in many applications. In this study, the Weibull distribution is proved more realistic in ocean analysis and prediction such as analysis of near ocean surface current and significant wave height data as well as numerical modeling in wave prediction. Use of the Weibull distribution will improve ocean analysis and prediction.