Advancing Asian Monsoon Climate Prediction under Global Change: Progresses, Challenges, and Outlook
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Bin Wang,
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Fei Liu,
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Renguang WU,
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qinghua ding,
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Shaobo Qiao,
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Juan Li,
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Zhiwei Wu,
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Keerthi Sasikumar,
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Jianping Li,
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Qing Bao,
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Haishan Chen,
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Yuhang Xiang
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Graphical Abstract
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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 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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