The Asian monsoon system mainly consists of the East Asian monsoon and the South Asian monsoon, and understanding its features is critical to ensuring the prosperity and livelihood of billions of people in Asia. Monsoon features, such as the start time of monsoon, precipitation characteristics and its changes under future climate, are of great significance for agricultural activities, water resources management and flood control. This report mainly addresses the research results on the sub-seasonal features of Asian monsoon based on machine learning method, and the changes in the sub-seasonal features of East Asian monsoon under future climate.

Dai Lun obtained her Ph.D. from the Hong Kong University of Science and Technology (HKUST) in 2021, and studied at the University of Hawaii as a visiting scholar in 2022. She is currently an assistant professor in the Department of Civil and Environmental Engineering of the HKUST. Dr. Dai Lun is mainly engaged in the study of monsoon sub-seasonal characteristics under current and future climate change, and has published 10 papers, all of which are included in SCI-indexed publications, npj Climate and Atmospheric Science (npjclimats), Geophysical Research Letters, and Journal of Climate and Water Resources Research, among others.