Archaeological data with AI- and physics-based modeling explain typhoon-induced disasters in inland China around 3000 BP

Climate change-related extreme events during the mid-late Holocene, especially around 3000 years before the present (yr B.P.), severely threatened human survival and cultural development at various locations. However, although marked social change during this period in China have also been reported to coincide with extreme disasters, the causes and impacts of these events remain unclear. Here, we aligned paleoclimate reconstructions with quantitative analyses of archeological evidence, including oracle bone scripts, together with artificial intelligence- and physics-based model simulations to uncover the causes. We found that intensified typhoon activities exerted considerable impacts on climate extremes and social change in inland China around 3000 yr B.P. These findings underscore the urgent need to improve preparedness for today's typhoon-induced disasters in the context of accelerating climate change.
, , , # Data from: Archaeological data with AI- and physics-based modeling explain typhoon-induced disasters in inland China around 3000 BP

Dataset DOI: [10.5061/dryad.g4f4qrg2r](10.5061/dryad.g4f4qrg2r)

## Description of the data and file structure

* Each file named in the format Fig.XXX* provides the data used to generate the corresponding Fig. XXX in the manuscript.

- For example, the file Fig1A.nc contains the data used in Fig. 1A. If the data consist only of time series or site locations, they are provided in .xlsx format.

* If the data include two-dimensional meteorological fields or other gridded variables, they are provided in .nc (NetCDF) format to facilitate access and analysis.

Please refer to the file names for correspondence with the figures in the manuscript.

### Files and variables

#### File: Fig1A.nc

**Description:** 

* Purpose:
This NetCDF file provides the gridded typhoon-occurrence probability field in modern times (1950–2021) and the archaeological site coordin...