Based on Scatterometer for Ocean Surface Non-Cyclone Wind Block Ambiguity Removal Algorithm

The Maximum Likelihood Estimation (MLE) algorithm for scatterometer wind vector retrieval generates several wind vector ambiguities, so a circle median filter is needed to perform the ambiguity removal. But the traditional circle median filtering method bard to solve the block ambiguity problem. According to the spatial distribution characteristic of the most likely ambiguities in each non-cyclone wind vector cell, a new enhanced circle median filter method for block ambiguity removal is derived and discussed theoretically and experiment for its adaptability. This method features simple definition, low computation and easiness to converge. Using some L2 raw data from EUMETSAT to validate our method, the results indicate that under non-cyclone wind distribution condition the new method is effective in resolving the problem of non-cyclone wind block ambiguity appearing with other reference data to take out the cyclone wind field.