Advancing Asian Monsoon Climate Prediction under Global Change: Progress, Challenges, and Outlook

Abstract Predicting monsoon climate is one of the major endeavors in climate science and is becoming increasingly challenging due to global warming. The accuracy of monsoon seasonal predictions significantly impacts the lives of billions who depend on or are affected by monsoons, as it is essential for the water cycle, food security, ecology, disaster prevention, and the economy of monsoon regions. Given the extensive literature on Asian monsoon climate prediction, we limit our focus to reviewing the seasonal prediction and predictability of the Asian Summer Monsoon (ASM). However, much of this review is also relevant to monsoon predictions in other seasons and regions. Over the past two decades, considerable progress has been made in the seasonal forecasting of the ASM, driven by an enhanced understanding of the sources of predictability and the dynamics of seasonal variability, along with advanced development in sophisticated models and technologies. This review centers on advances in understanding the physical foundation for monsoon climate prediction (section 2), significant findings and insights into the primary and regional sources of predictability arising from feedback processes among various climate components (sections 3 and 4), the effects of global warming and external forcings on predictability (section 5), developments in seasonal prediction models and techniques (section 6), the challenges and limitations of monsoon climate prediction (section 7), and emerging research trends with suggestions for future directions (section 8). We hope this review will stimulate creative activities to enhance monsoon climate prediction.

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Publication Details

Journal
Advances in Atmospheric Sciences
Published
2025-07-25
DOI
https://doi.org/10.1007/s00376-025-5019-z
Citations
6
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
6.63

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article

Advancing Asian Monsoon Climate Prediction under Global Change: Progress, Challenges, and Outlook

Qinghua Ding, Haishan Chen, Keerthi Sasikumar, Zhiwei Wu et al.
6 citations
Advances in Atmospheric Sciences
Climate variability and models
6.63
article

Advancing Asian Monsoon Climate Prediction under Global Change: Progress, Challenges, and Outlook

Qinghua Ding, Haishan Chen, Keerthi Sasikumar, Zhiwei Wu, Renguang Wu, Jianping Li, Bin Wang, Fei Liu, Juan Li, Qing Bao, Shaobo Qiao, Yuhang Xiang
article en
6 citations

Abstract

Abstract Predicting monsoon climate is one of the major endeavors in climate science and is becoming increasingly challenging due to global warming. The accuracy of monsoon seasonal predictions significantly impacts the lives of billions who depend on or are affected by monsoons, as it is essential for the water cycle, food security, ecology, disaster prevention, and the economy of monsoon regions. Given the extensive literature on Asian monsoon climate prediction, we limit our focus to reviewing the seasonal prediction and predictability of the Asian Summer Monsoon (ASM). However, much of this review is also relevant to monsoon predictions in other seasons and regions. Over the past two decades, considerable progress has been made in the seasonal forecasting of the ASM, driven by an enhanced understanding of the sources of predictability and the dynamics of seasonal variability, along with advanced development in sophisticated models and technologies. This review centers on advances in understanding the physical foundation for monsoon climate prediction (section 2), significant findings and insights into the primary and regional sources of predictability arising from feedback processes among various climate components (sections 3 and 4), the effects of global warming and external forcings on predictability (section 5), developments in seasonal prediction models and techniques (section 6), the challenges and limitations of monsoon climate prediction (section 7), and emerging research trends with suggestions for future directions (section 8). We hope this review will stimulate creative activities to enhance monsoon climate prediction.

Advances in Atmospheric SciencesVol. 43(1)
University of Hawaiʻi at Mānoa (US), University of California, Santa Barbara (US), Chinese Academy of Sciences (CN), Nanjing University of Information Science and Technology (CN), Fudan University (CN), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN), Ministry of Education (BD), Institute of Atmospheric Physics (CN), Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (CN), Ocean University of China (CN), Zhejiang University (CN)
National Science Foundation, National Natural Science Foundation of China
Openalex Percentile: Top 3%
Climate variability and models
6.63
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