Urbanization's dual role in the exacerbation and mitigation of drought dynamics in China
Data files
Sep 22, 2025 version files 58.11 MB
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README.md
3 KB
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SPEI-SPI_files.zip
58.08 MB
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xy_locations.xlsx
29.95 KB
Abstract
Dataset DOI: 10.5061/dryad.zpc866tkp
Description of the data and file structure
The data were sourced from 700 benchmark ground observation stations or automatic stations covering most of the country. Precipitation data from 1951 to 2020 were obtained from the China Meteorological Data Sharing Service System (http://data.cma.cn/en) at a monthly timescale and were corrected for missing values using the Global Precipitation Climatology Centre (GPCC) dataset (http://gpcc.dwd.de/). Evapotranspiration data for the same period (1951–2020) were obtained from the global gridded dataset of monthly climate data developed by the Climatic Research Unit (CRU TS v4.06). Finally, the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) were computed at multiple timescales (e.g., SPEI-3, -6, -9, and -12 months) using the aforementioned datasets.
Files and variables
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File: xy_locations.xlsx
Description: latitudes and longitudes for all 700 stations.
units: "degrees";
type: float;
Cartesian_axis: "X and Y";
File format: Excel sheets;
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File: SPEI-SPI_files.zip
Description: Historical Dataset of 700 stations of the Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) in China from 1951 to 2020, monthly data at 3, 6, 9, and 12 timescales.
Variables names: "SPEI, SPI";
units: "z values";
type: float;
time: months;
not a number: nan;
File format: CSV sheets;
Code/software
Python-code-for-drought-characteristics-and SPEI-SPI trend
https://github.com/Karam-lab7/Python-code-for-drought-characteristics-
Access information
Other publicly accessible locations of the data:
- Monthly SPI and SPEI data across multiple timescales, developed and used in this study, are accessible on Figshare (https://doi.org/10.6084/m9.figshare.28429727.v2)
Original data for calculating both SPI and SPEI were derived from the following sources:
- Monthly precipitation data (1951–2020) used in this study were sourced from the China Meteorological Data Sharing Service System (http://data.cma.cn/en).
- Monthly precipitation data (1951–2020) used in this study were sourced the Global Precipitation Climatology Centre (GPCC) dataset (http://gpcc.dwd.de/)
- Evapotranspiration data for the same period were obtained from the Climatic Research Unit’s gridded dataset (CRU TS v4.06) (https://crudata.uea.ac.uk/cru/data/hrg/).
