Anthropogenic influence has intensified the severity of summer compound hot and drought events over xinjiang, China

Compared with individual hot or drought extremes, compound hot and drought events (CHDEs) usually cause more disastrous socio-economic damage. Thus, understanding the change of CHDEs in the context of global warming is crucial for effective adaptation and mitigation strategies. This article, based on the CN05.1 gridded dataset and 33 Coupled Model Intercomparison Project Phase 6 (CMIP6) model simulations, examines the change in summer (June–July–August) CHDEs over Xinjiang, China from 1961 to 2020 and assesses the contribution of human influence using the optimal fingerprint method. The observational results show a significant upward trend in the severity of CHDEs over Xinjiang, among which the change in moderate CHDEs shows a dominant contribution. The CMIP6 multi-model ensemble mean simulation with all forcing generally matches the observation in the change of CHDEs over Xinjiang. Moreover, anthropogenic and natural forcings can be detected and separated from each other, with human activities contributing most to the CHDE change. Furthermore, the three-signal analysis of model responses to greenhouse gas, anthropogenic aerosol, and natural forcings indicates that the greenhouse gas forcing is primary to the increased severity of CHDEs in Xinjiang, while the influence of anthropogenic aerosol forcing cannot be detected.

Authors

Institutions

Publication Details

Journal
Weather and Climate Extremes
Published
2025-05-10
DOI
https://doi.org/10.1016/j.wace.2025.100774
Citations
3
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
3.32
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Anthropogenic influence has intensified the severity of summer compound hot and drought events over xinjiang, China

Botao Zhou, Xiaolu Zhang, Xiaoxin Wang, Wenxin Xie et al.
3 citations
Weather and Climate Extremes
Hydrology and Drought Analysis
3.32
article

Anthropogenic influence has intensified the severity of summer compound hot and drought events over xinjiang, China

Botao Zhou, Xiaolu Zhang, Xiaoxin Wang, Wenxin Xie, Huixin Li
article en
3 citations

Abstract

Compared with individual hot or drought extremes, compound hot and drought events (CHDEs) usually cause more disastrous socio-economic damage. Thus, understanding the change of CHDEs in the context of global warming is crucial for effective adaptation and mitigation strategies. This article, based on the CN05.1 gridded dataset and 33 Coupled Model Intercomparison Project Phase 6 (CMIP6) model simulations, examines the change in summer (June–July–August) CHDEs over Xinjiang, China from 1961 to 2020 and assesses the contribution of human influence using the optimal fingerprint method. The observational results show a significant upward trend in the severity of CHDEs over Xinjiang, among which the change in moderate CHDEs shows a dominant contribution. The CMIP6 multi-model ensemble mean simulation with all forcing generally matches the observation in the change of CHDEs over Xinjiang. Moreover, anthropogenic and natural forcings can be detected and separated from each other, with human activities contributing most to the CHDE change. Furthermore, the three-signal analysis of model responses to greenhouse gas, anthropogenic aerosol, and natural forcings indicates that the greenhouse gas forcing is primary to the increased severity of CHDEs in Xinjiang, while the influence of anthropogenic aerosol forcing cannot be detected.

Weather and Climate ExtremesVol. 48
Chinese Academy of Sciences (CN), Nanjing University of Information Science and Technology (CN), Institute of Atmospheric Physics (CN)
Climate action
Openalex Percentile: Top 9%
Hydrology and Drought Analysis
3.32
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.