Anatomy of the 2022 Scorching Summer in the Yangtze River Basin Using the SINTEX‐F2 Seasonal Prediction System

Abstract In July and August 2022, the Yangtze River basin (YRB) experienced its hottest summer since 1961. The SINTEX‐F2 seasonal prediction system initialized in early May predicted the hotter‐than‐normal summer due to its successful prediction of central Pacific La Niña, negative Indian Ocean Dipole and the resultant warming in the tropical West Pacific‐East Indian Ocean (TWP_EIO). The common SST forcing explains only about 26% to the heatwave strength, while the internal variations in the anomalous warming in the TWP_EIO and Europe, surplus precipitation in Pakistan, and local land‐air interaction account for approximately 65%, based on the analysis of 108 ensemble members. These factors have collectively increased the maximum temperature over the YRB through the enhancement and westward expansion of western North Pacific subtropical high. Our findings quantify the relative contributions of external forcing and internal variations to the unprecedented hot event, offering insights into its forming mechanism and potential predictability.

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Publication Details

Journal
Geophysical Research Letters
Published
2024-08-09
DOI
https://doi.org/10.1029/2024gl109554
Citations
3
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.85

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article

Anatomy of the 2022 Scorching Summer in the Yangtze River Basin Using the SINTEX‐F2 Seasonal Prediction System

Jing‐Jia Luo, Takeshi Doi, Toshio Yamagata, Chaoxia Yuan et al.
3 citations
Geophysical Research Letters
Climate variability and models
0.85
article

Anatomy of the 2022 Scorching Summer in the Yangtze River Basin Using the SINTEX‐F2 Seasonal Prediction System

Jing‐Jia Luo, Takeshi Doi, Toshio Yamagata, Chaoxia Yuan, Swadhin K. Behera, Xinyu Lu
article en
3 citations

Abstract

Abstract In July and August 2022, the Yangtze River basin (YRB) experienced its hottest summer since 1961. The SINTEX‐F2 seasonal prediction system initialized in early May predicted the hotter‐than‐normal summer due to its successful prediction of central Pacific La Niña, negative Indian Ocean Dipole and the resultant warming in the tropical West Pacific‐East Indian Ocean (TWP_EIO). The common SST forcing explains only about 26% to the heatwave strength, while the internal variations in the anomalous warming in the TWP_EIO and Europe, surplus precipitation in Pakistan, and local land‐air interaction account for approximately 65%, based on the analysis of 108 ensemble members. These factors have collectively increased the maximum temperature over the YRB through the enhancement and westward expansion of western North Pacific subtropical high. Our findings quantify the relative contributions of external forcing and internal variations to the unprecedented hot event, offering insights into its forming mechanism and potential predictability.

Geophysical Research LettersVol. 51(15)
Japan Agency for Marine-Earth Science and Technology (JP), Nanjing University of Information Science and Technology (CN)
National Natural Science Foundation of China, China Scholarship Council, Nanjing University of Information Science and Technology, Nanjing University, Japan Society for the Promotion of Science, Japan Agency for Marine-Earth Science and Technology, National Key Research and Development Program of China, National Key Research and Development Program of China Stem Cell and Translational Research
Life below water
Openalex Percentile: Top 28%
Climate variability and models
0.85
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