Daily SPEI dataset in China from 1980 to 2100
Cite this dataset
Wang, Qianfeng; Xu, Feng (2024). Daily SPEI dataset in China from 1980 to 2100 [Dataset]. Dryad. https://doi.org/10.5061/dryad.b2rbnzsp1
Abstract
The future state of drought in China under climate change remains uncertain. This study investigates drought events, focusing on the region of China, using simulations from five global climate models (GCMs) under three Shared Socioeconomic Pathways (SSP1-2.6, SSP3-7.0, and SSP5-8.5) participating in the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3b). The daily Standardized Precipitation Evapotranspiration Index (SPEI) is employed to analyze drought severity, duration, and frequency over three future periods. Evaluation of the GCMs’ simulations against observational data indicates their effectiveness in capturing historical climatic change across China. The rapid increase in CO2 concentration under high emission scenarios in the mid- and late- future century (2040–2070 and 2071–2100) substantially influences vegetation behavior via regulation on leaf stomata and canopy structure. This regulation decelerates the increase in potential evapotranspiration, thereby mitigating the sharp rise in future drought occurrences in China. These findings offer valuable insights for policymakers and stakeholders to develop strategies and measures for mitigating and adapting to future drought conditions in China.
README: Daily SPEI dataset in China from 1980 to 2100
https://doi.org/10.5061/dryad.b2rbnzsp1
The daily Standardized Precipitation Evapotranspiration Index (SPEI) dataset used the PM-CO2 model to calculate PET with a spatial resolution of 0.5° × 0.5° from 1980 to 2100. This dataset investigates drought, focusing on the region of China, using simulations from five global climate models (GCMs) under three Shared Socioeconomic Pathways (SSP1-2.6, SSP3-7.0, and SSP5-8.5) participating in the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3b).
Funding
National Key Research and Development Program of China, Award: 2023YFC3006604
Natural Science Foundation of Fujian Province, Award: 2021J01627
National Natural Science Foundation of China, Award: 41601562