High-Resolution Projections and Uncertainty Analysis of Future Drought Across Nine Major Agricultural Regions over China Under Climate Change Scenarios

Drought is a major climatic hazard affecting agricultural production and water resource management. This study investigates the spatiotemporal evolution of summer drought across nine major agricultural regions in China and quantifies associated uncertainties under historical (1981–2010) and future periods (2041–2070 and 2071–2100). Using multi-model simulations from the Coupled Model Intercomparison Project Phase 6 (CMIP6) under four SSP scenarios (SSP126, SSP245, SSP370, and SSP585), drought variations were characterized using the Standardized Precipitation Index at a 3-month timescale (SPI-3). Sen’s slope estimator combined with the Mann–Kendall test was applied to detect drought trends, and factorial analysis was used to quantify uncertainty contributions. Results show pronounced regional differences in historical drought conditions, with northern arid and semi-arid regions exhibiting stronger precipitation deficits (mean SPI-3 = −0.435), while the Yangtze River Plain and Northeast China Plain show wetter conditions. Historical trends indicate increasing drought conditions in South China, whereas humidification trends dominate several northern and eastern regions. Under future scenarios, most regions show overall wetting trends, but drying tendencies persist in South China. Factorial analysis reveals that regional differences (58.34%) and climate model uncertainty (31.15%) are the dominant contributors to drought variability. Overall, future summer drought in China is characterized by a general wetting tendency with localized intensification of drought conditions.

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Publication Details

Journal
Atmosphere
Published
2026-07-24
DOI
https://doi.org/10.3390/atmos17080719
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

High-Resolution Projections and Uncertainty Analysis of Future Drought Across Nine Major Agricultural Regions over China Under Climate Change Scenarios

Fang Wang, Mengmeng Hu, Hongkuan Zang, Shaohua Zhai et al.
Atmosphere
Hydrology and Drought Analysis
article

High-Resolution Projections and Uncertainty Analysis of Future Drought Across Nine Major Agricultural Regions over China Under Climate Change Scenarios

Fang Wang, Mengmeng Hu, Hongkuan Zang, Shaohua Zhai, Yupeng Fu, Mengyu Zhai
article en

Abstract

Drought is a major climatic hazard affecting agricultural production and water resource management. This study investigates the spatiotemporal evolution of summer drought across nine major agricultural regions in China and quantifies associated uncertainties under historical (1981–2010) and future periods (2041–2070 and 2071–2100). Using multi-model simulations from the Coupled Model Intercomparison Project Phase 6 (CMIP6) under four SSP scenarios (SSP126, SSP245, SSP370, and SSP585), drought variations were characterized using the Standardized Precipitation Index at a 3-month timescale (SPI-3). Sen’s slope estimator combined with the Mann–Kendall test was applied to detect drought trends, and factorial analysis was used to quantify uncertainty contributions. Results show pronounced regional differences in historical drought conditions, with northern arid and semi-arid regions exhibiting stronger precipitation deficits (mean SPI-3 = −0.435), while the Yangtze River Plain and Northeast China Plain show wetter conditions. Historical trends indicate increasing drought conditions in South China, whereas humidification trends dominate several northern and eastern regions. Under future scenarios, most regions show overall wetting trends, but drying tendencies persist in South China. Factorial analysis reveals that regional differences (58.34%) and climate model uncertainty (31.15%) are the dominant contributors to drought variability. Overall, future summer drought in China is characterized by a general wetting tendency with localized intensification of drought conditions.

AtmosphereVol. 17(8)
Shenzhen University (CN), Beijing University of Technology (CN), Hebei Chemical and Pharmaceutical College (CN), Institute of Agricultural Resources and Regional Planning (CN), Chinese Academy for Environmental Planning (CN), Chinese Academy of Agricultural Sciences (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 10%
Hydrology and Drought Analysis
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