| Session Details | |
| Section | AS - Atmospheric Sciences |
| Session Title | Tele-connections: Monsoons Over South And East Asia |
| Main Convener | Dr. Ramesh Kripalani (Indian Institute of Tropical Meteorology, India) |
| Co-convener(s) | Prof. Zhaoyong Guan (Nanjing University of Information Science & Technology, China) Prof. Jaiho Oh (Pukyong National University, Korea, South) Prof. Kyung-Ja Ha (Pusan National University, Korea, South) Prof. Toshio Yamagata (The University of Tokyo, Japan) |
| Session Description | The Asian Monsoon is broadly composed of the South Asian, the East Asian, the South-east Asian and the West-North Pacific monsoons The South Asian (in particular India) and the East Asian (in particular China) form the major dominant components. Possible connections between these components have been a topic of research since decades. Similarities and differences between the monsoons over India and China have been investigated since the 1930s. While one school of thought regards that the South Asian monsoon drives the East Asian monsoon, another view regards the features over East Asia as possible drivers for the South Asian monsoon. Recent studies connect the trend towards South Flood / North drought in China and the drying trend over northern China during recent decades to the reported drying trend over India. While the summer monsoon rainfall over India and North China has been indicating a declining trend, it has been indicating an increasing trend over Yangzte-Huai River valley and even over South Korea. Possible causes for such trends needs investigation. A prime objective here will be to bridge the gap in the knowledge and understanding and attempt to identify the spatial patterns of the connected and the independent modes of variability. Hence this session invites contributions on monsoon climates over South (in particular India) and East Asia (in particular China, South Korea, Japan), and their connections based on observed data, proxy sources (e.g. tree-rings, oxygen isotopes in speleothems data from caves) and model simulations and projections (e.g CMIP5 data sets) on intra-seasonal, inter-annual, decadal and multi-decadal time scales. |