This paper is focused on a new treatment to along-track satellite data so as to improve the processing of information related to the occurrence of extreme values. The main objective is to preserve information concerning the occurrence of short-term extreme events (2-5 days), like cyclones. In this way, the representativeness of these events is enhanced when applying extreme value return analyses. This method allows us to improve our estimation of return periods for risk analyses.