Climate change is expected to increase atmospheric moisture, leading to higher tropical cyclone (TC) rainfall amounts. However, predicting how much rainfall TCs will have in the future, influenced by climate change, remains challenging with limited research. In this study, we aim to address this gap by using a statistical-based approach to predict climate change-affected TC rainfall amounts. Leveraging data from a global climate model mega-ensemble dataset, we utilize climate change-affected TC tracks and central pressure as primary input variables for quantifying rainfall. By conducting a cumulative analysis, we compare the rainfall amounts associated with climate change-affected TCs to those of historical TCs. This approach contributes to a better understanding of the potential future rainfall from climate change-affected TCs.
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