| Session Details | |
| Section | AS - Atmospheric Sciences |
| Session Title | Linking South and East Asian Monsoons |
| Main Convener | Dr. Ramesh Kripalani (Indian Institute of Tropical Meteorology, India) |
| Co-convener(s) | Prof. Jaiho Oh (Pukyong National University, Korea, South) Prof. Kyung-Ja Ha (Pusan National University, Korea, South) |
| Session Description | The Asian Monsoon is broadly composed of three inter-linked components: the South Asian, the East Asian and the South-east Asian monsoons. Monsoon-related droughts and floods have an enormous social and economic impact on the people of India, China and the countries of South-east Asia, which form a large segment of the world’s population. Studies of the Asian monsoon have largely focused on the South Asian (in particular India) and the East Asian (in particular China) components. A large amount of scientific literature on these two monsoon systems is available. However, the studies on possible connections between the different components of the Asian monsoon system have been limited. Similarities and differences between the Indian monsoon and the monsoon over China have been investigated since a long time. While one school of thought regards the South Asian and the East Asian monsoon as one and the same system, another view regards these two as relatively independent sub-systems of the Asian domain. Whereas the summer monsoon rainfall over India and the rainfall over northern parts of China has been indicating a declining trend during the last few decades, the rainfall over southern China-South Korea sector has been indicating an increasing trend. Hence there is a large gap in the knowledge and understanding of the tele-connections between these two components. A prime objective of this session proposal is to bridge this gap in the understanding and identify possible drivers for these tele-connections on all time-scales. Hence contributions on intra-seasonal, inter-annual and multi-decadal time scales are invited based on past data (proxy sources), present data (observational data) and future projections on CMIP3 and CMIP5 model outputs. |