Attribution of the 2023 extreme spring hot drought event in Southwest China: meteorological and agricultural perspectives

Abstract During March to May 2023, Southwestern China experienced a prolonged hot and dry spring. This study investigates the role of anthropogenic climate change (ACC) in this extreme event and its impact on crop yields, using a 525-member ensemble from the HadGEM3 atmospheric model and the WOFOST agricultural model, respectively. Observational results indicate that the area-averaged surface air temperature anomaly (TAS) was 1.4 °C higher than usual, and the percentage of anomalous precipitation was nearly 33% below normal, making both metrics the most extreme since 1960. The hot event was predominantly driven by ACC, contributing about 60% to the TAS strength and increasing its likelihood 7 fold. In contrast, internal climate variability appears to have been the primary trigger of the severe drought, although ACC significantly increased its likelihood by 9 fold. When these two extreme conditions are considered together as a concurrent hot-drought event, ACC increased its probability by about 3 fold. An attribution analysis of crop yields in the area was also conducted, revealing that ACC significantly shifts the probability distribution westward and reduces yields for both the winter wheat and rapeseed. Specifically, based on the simulated 2023 crop yield results driven by ERA5 as a proxy for observations, the likelihood of achieving the yield for winter wheat would have decreased by a factors of about 2 under ACC, while that for winter rapeseed is close to 1, despite its better simulation performance in the historical context. This underscores the challenge of accurately modeling and projecting crop yields under changing climate conditions. Additional analysis emphasizes the role of land–atmosphere interactions in amplifying the hot-drought event, as early-season soil moisture deficits reduced evapotranspiration and increased sensible heat flux, thereby intensifying local temperature extremes. Overall, global warming caused by anthropogenic activities has significantly increased the frequency of extreme hot drought events in Southwestern China, posing a severe threat to agricultural productivity.

Authors

Institutions

Publication Details

Journal
Environmental Research Letters
Published
2025-05-27
DOI
https://doi.org/10.1088/1748-9326/addd38
Citations
2
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
2.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Attribution of the 2023 extreme spring hot drought event in Southwest China: meteorological and agricultural perspectives

Wenjie Dong, Fraser C. Lott, Shaobo Qiao, Wenjun Liang et al.
2 citations
Environmental Research Letters
Hydrology and Drought Analysis
2.21
article

Attribution of the 2023 extreme spring hot drought event in Southwest China: meteorological and agricultural perspectives

Wenjie Dong, Fraser C. Lott, Shaobo Qiao, Wenjun Liang, Simon F. B. Tett, Kaixi Wang, Haiyang Xue, Hongbin Liang, Xian Zhu, Hui Hu
article en
2 citations

Abstract

Abstract During March to May 2023, Southwestern China experienced a prolonged hot and dry spring. This study investigates the role of anthropogenic climate change (ACC) in this extreme event and its impact on crop yields, using a 525-member ensemble from the HadGEM3 atmospheric model and the WOFOST agricultural model, respectively. Observational results indicate that the area-averaged surface air temperature anomaly (TAS) was 1.4 °C higher than usual, and the percentage of anomalous precipitation was nearly 33% below normal, making both metrics the most extreme since 1960. The hot event was predominantly driven by ACC, contributing about 60% to the TAS strength and increasing its likelihood 7 fold. In contrast, internal climate variability appears to have been the primary trigger of the severe drought, although ACC significantly increased its likelihood by 9 fold. When these two extreme conditions are considered together as a concurrent hot-drought event, ACC increased its probability by about 3 fold. An attribution analysis of crop yields in the area was also conducted, revealing that ACC significantly shifts the probability distribution westward and reduces yields for both the winter wheat and rapeseed. Specifically, based on the simulated 2023 crop yield results driven by ERA5 as a proxy for observations, the likelihood of achieving the yield for winter wheat would have decreased by a factors of about 2 under ACC, while that for winter rapeseed is close to 1, despite its better simulation performance in the historical context. This underscores the challenge of accurately modeling and projecting crop yields under changing climate conditions. Additional analysis emphasizes the role of land–atmosphere interactions in amplifying the hot-drought event, as early-season soil moisture deficits reduced evapotranspiration and increased sensible heat flux, thereby intensifying local temperature extremes. Overall, global warming caused by anthropogenic activities has significantly increased the frequency of extreme hot drought events in Southwestern China, posing a severe threat to agricultural productivity.

Environmental Research LettersVol. 20(7)
Met Office (GB), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN), University of Edinburgh (GB)
National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 13%
Hydrology and Drought Analysis
2.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.