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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Key data and code for "Urbanization exacerbates intensification of short-duration rainfall extremes in a warming climate"

Authors: YAN HAOCHEN; GUAN MINGFU;

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

Abstract

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.

Related Organizations
Keywords

extreme rainfall, non-stationarity, frequency analysis, urbanization, climate change

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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