This research aims to find a way to use new satellite products from the Geostationary Operational Environmental Satellite - R-Series (GOES-R) and the Joint Polar Satellite System (JPSS) satellites to help forecasters more easily identify SAIs and therefore, anticipate and predict rapid cyclogenesis. Case studies were identified and investigated across the North Pacific during the 2017-2018 winter season using Himawari 8 products (airmass RGB, water vapor similar to GOES-R) and ozone data from IASI and NUCAPS. With each storm, characteristics of SAIs were identified, and a determination was made as to whether or not the SAI contributed to rapid intensification. During the 2018-2019 winter season, these identification methods will be tested and evaluated. The goal is to use these methods to identify the precursors of hurricane-force wind events and enhance the forecast capability of rapid cyclogenesis. This presentation seeks to discuss this new satellite integration used in the 2017-2018 winter and initial results of the 2018-2019 winter evaluation.
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