Key data and code for "Urbanization exacerbates intensification of short-duration rainfall extremes in a warming climate"

This repository folder contains data and Matlab function scripts that are used as the basis for the paper "Urbanization exacerbates intensification of short-duration rainfall extremes in a warming climate" 

The data include

- 30-year hourly 0.1° rainfall data over the Greater Bay Area (GBA), China, obtained by multi-source merging and correction techniques

- land-use maps of the area in 1980 and 2018

- boundary polygons of the GBA in WGS1984

The codes include

- scripts to calculate the annual maximum rain rate of the gridded rainfall data for different durations

- fundamental scripts for nonstationary frequency analysis of annual maximum rain rate, examples performed for the gridded data of the GBA

- scripts to differentiate the grids as urbanized/rural ones based on the land-use data for the purpose of results comparison after the frequency analysis

- the function to perform Man-Kendall trend analysis for the calculated nonstationary return levels

Please cite this resource and the paper if you find our data/codes helpful.