Global coastal wind hazard maps from the CHAZ tropical cyclone model

Synthetic tropical cyclone (TC) models have become essential tools for assessing TC hazard and risk, due to both the shortness of observational records and, now, the influence of climate change. However, the direct output from these models, TC track sets, requires additional processing to become useful for impact assessments beyond traditional climate science and meteorological research. Converting TC tracks into hazard maps condenses complex information on TC intensity and frequency into widely accessible formats, facilitating diverse impact analyses. Here, we present global coastal wind risk maps generated using the Columbia tropical cyclone hazard model (CHAZ) for both present-day and future climate conditions. Climate scenario-driven data are provided for a recent historical period (1995-2014) and two future periods, mid-century (2041-2060) and end-of-century (2081-2100); a reference data set downscaled from an observation-based reanalysis for 1981-2019 is also provided. These hazar..., , # CHAZ Hazard Maps: Global coastal wind hazard maps from the CHAZ tropical cyclone model

## Folder Structure Overview

The dataset is organized first by hazard metric (`exceedance_intensity` or `return_periods`), then by file format (`csv`, `nc`, or `raster.nc`). Within each format, files are grouped as follows:

* `ERA5/`: Historical baseline based on ERA5 reanalysis
* `per-GCM/<GCM>/sspXXX/`: Individual GCM simulations grouped by GCM and SSP

## Folder Details

* `return_periods.zip`: Local return period estimates for fixed wind intensity thresholds
* `exceedance_intensity.zip`: Local wind intensity associated with a specific return period (e.g., 100-year wind)

## Formats

* `csv`: Point-based comma-separated files with geographic coordinates (`lat`, `lon`) and the hazard variables listed below.
* `nc`: NetCDF format with point-based hazard data
* `raster.nc`: NetCDF raster format on a regular 180 arcsecond grid; use with caution over ocean regions due to coarse interpolation

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