52 Ocean Surface Wind Vector Forecasting Using Support Vector Regression Available to Purchase

The ocean surface wind vector field is a key element for short range weather forecasting and for wind driven ocean wave prediction. Such forecasts are needed to issue timely and accurate ocean weather warnings and avoid major catastrophes. Many recent research attempts to measure and forecast ocean surface wind speed using polarimetric microwave radiometry provided by satellites. However, the amount of data provided by a satellite is very large and has many redundant data. Consequently, any type of analysis of this data should be done on a subset of the data, that is, by some form of data thinning. In this paper we use support vector machines to extract a subset that is composed of support vectors. The size of the subset is fewer than eight percent of the total data for this data type. The results obtained show that the support vectors allow reconstruction of the ocean surface wind speed vectors with high accuracy.