Rainfall associated with tropical and post-tropical cyclones in the high resolution MRI-AGCM2-H model

One of the most costly effects of climate change will be its impact on extreme weather events, including tropical cyclones (TCs). Understanding these changes is of growing importance, and high resolution global climate models are providing potential for such studies, specifically for TCs. Beyond the difficulties associated with TC behavior in a warming climate, the extratropical transition (ET) of TCs into post-tropical cyclones (PTCs) creates another challenge when understanding these events and any potential future changes. PTCs can produce excessive rainfall despite losing their original tropical characteristics. The present study examines the representation of PTCs and their precipitation in three high resolution (25-50 km) climate models: CNRM, MRI, and HadGEM. All three of these models agree on a simulated decrease in TC and PTC events in the future warming scenario, yet they lack consistency in simulated regional patterns of these changes, which is further evident in regional ..., , , # MRI Model TC and PTC Trajectories, ET Information, and Precipitation

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This dataset includes the data from MRI-AGCM3-2-H in the manuscript \"Using high resolution climate models to explore future changes in post-tropical cyclone precipitation\" for the analysis of precipitation throughout the entire TC life cycle.

## Description of the data and file structure

This dataset enables the analysis of precipitation throughout the entire tropical cyclone (TC) life cycle, including points during and after extratropical transition (ET) occurs. The ET process enables TCs to lose their tropical characteristics and be sustained by midlatitude forcing.

The files beginning with \"traj_et_MRI-AGCM3-2-H\" are trajectories for the entire TC and PTC life cycle. TCs are first tracked with TempestExtremes, and these files are the TC trajectories extended using ExTraTrack to include all points during and after ET occurs. The files beginning with \"etdetails\", \"etpath\", \"life_\", \"monthly\", \"storms\", and ...