中国科学数据（中英文网络版）2025，Vol.10Issue(3)：26-36,11.DOI:10.11922/11-6035.csd.2025.0008.zh
基于CMIP6的2015-2100年中国气象干旱指数高分辨率数据集
A dataset of high-resolution meteorological drought indices under the CMIP6 framework in China(2015-2100)
摘要
Abstract
A refined dataset of meteorological drought indices is of great significance for assessing the impacts of climate change.This dataset is based on data from 20 global climate models(GCMs)under the CMIP6 framework and the China Meteorological Forcing Dataset(CMFD).Precipitation and temperature data were bias-corrected using the Quantile Mapping(QM)method and a multi-model ensemble mean approach was applied to generate high-resolutions projections of precipitation and temperature in China from 1979 to 2100.Based on the projections,monthly meteorological drought indices were calculated for the period 2015-2100,with a spatial resolution of 0.1°×0.1°.Additionally,the dataset includes three key indices:the Standardized Precipitation Index(SPI),the Standardized Precipitation Evapotranspiration Index(SPEI),and the China-Z Index(CZI),under four Shared Socioeconomic Pathways(SSPs):SSP 1-2.6,SSP2-4.5,SSP3-7.0,and SSP5-8.5.Built on the strict control of model biases and ensemble averaging uncertainties,the dataset features comprehensive spatial coverage,high resolution,and diverse indicators.This ensures the scientific validity and reliability of the data,providing a solid foundation for studying the evolution of drought and risk management in China under climate change.关键词
中国/干旱指数/CMIP6/SSPs/高分辨率Key words
China/drought index/CMIP6/SSPs/high resolution引用本文复制引用
黄云飞,龙银平,马启民,余文莉,谭春萍..基于CMIP6的2015-2100年中国气象干旱指数高分辨率数据集[J].中国科学数据（中英文网络版）,2025,10(3):26-36,11.基金项目
国家自然科学基金(42201520,42201085) （42201520,42201085）
国家冰川冻土沙漠科学数据中心(E01Z790201) （E01Z790201）
四川省科技厅(2023YFQ0105) The National Natural Science Foundation of China(42201520,42201085) （2023YFQ0105）
the National Cryosphere Desert Data Center(E01Z790201),Sichuan Provincial Department of Science and Technology(2023YFQ0105). （E01Z790201）
