Replication data for global population profile of tropical cyclone exposure during 2002 and 2019

Tropical cyclones have far-reaching impacts on livelihoods and population health that often persist years after the event. Characterizing the demographic and socioeconomic profile and the vulnerabilities of the exposed populations is essential to assess health and other risks associated with future tropical cyclone events. Estimates of exposure to tropical cyclones are often regional rather than global and do not consider population vulnerabilities. Here, we combine spatially resolved annual demographic estimates with tropical cyclone wind fields estimates to construct a global profile of the populations exposed to tropical cyclones between 2002 and 2019. We find that approximately 560 million people are exposed yearly and that the number of people exposed has increased across all cyclone intensities over the study period. The age distribution of those exposed has shifted away from children (under-5) and towards older people (over-60) in recent years compared to the early 2000s. Populat..., The extent of the wind exposure associated with tropical cyclones are estimated using a parametric tropical cyclone wind model, as described in Chavas et al. (2015)., , # Replication data for Global Population Profile of Tropical Cyclone Exposure during 2002 and 2019\"

Replication materials for Jing et al. (2023).

The materials in this repository reproduce the figures, tables, and calculations appearing in the main text and extended data of the paper.
If you find meaningful errors in the code or have questions or suggestions, please contact Renzhi Jing at

## Organization of repository

* **scripts**: scripts for replication of figures, tables, and calculations.
* **figures/published**: published versions of the figures.
* **figures/raw**: scripts plot_Figure*.R will generate pdf figures in this directory.
* **data/tc**: gridded high-resolution tropical cyclone exposure data
* **data/worldpop**: high-resolution gridded population data
* **data/misc**: uncategorized data that is needed for the paper
* **results**: folder to save intermediate results

### Data

* \**data/tc **(All files under this path can be generated by unzipping t...