Code and data for: Comparison of GPM-MWH and ERA5-MWH significant wave heights in tropical cyclones

This upload contains the Python analysis script and the processed collocation dataset used to compare GPM‑MWHR (satellite) and ERA5‑reanalysis significant wave heights in tropical cyclones. ## Data- `All_cyclone_points.csv`: Processed dataset collocating GPM overpasses with IBTrACS best‑track data and ERA5 fields within 300 km of cyclone centres. Variables include: distance to centre, GPM_hmax, ERA5_hmax, ERA5_SWH, IBTrACS wind speed, cyclone name, centre coordinates, Ku‑band footprint coordinates, and (optionally) precipitation rate. ## Code- `gpm_era5_cyclone_analysis.py`: Python script that reproduces all figures (Figures 1–5, S1–S6) and statistical tables (Table 1, Table S1) from the associated study. It also generates a summary text file (`All_information.txt`) with key statistics and interpretations. ## Dependencies- Python ≥ 3.8- Required packages: pandas, numpy, scipy, matplotlib, cartopy ## How to run1. Place the script and the CSV file in the same directory.2. (Optional) Adjust the `CSV_PATH` and `OUTPUT_DIR` variables inside the script.3. Execute: ```bash python gpm_era5_cyclone_analysis.py