| Session Details | |
| Section | AS - Atmospheric Sciences |
| Session Title | Dynamics and Predictability of Intra-seasonal, Inter-annual and Synoptic Variability in the Asia-Pacific region |
| Main Convener | Dr. Tim Li (University of Hawaii, United States) |
| Co-convener(s) | Dr. Wenju Cai (CSIRO Oceans & Atmosphere Flagship, Australia) Prof. Chun-Chieh Wu (National Taiwan University, Taiwan) Dr. Tomoe Nasuno (Japan Agency for Marine-Earth Science and Technology, Japan) Dr. Wen Chen (Institute of Atmospheric Physics, Chinese Academy of Sciences, China) Dr. Melinda Peng (Naval Research Laboratory, United States) |
| Session Description | There are rich spectrums in the atmospheric and oceanic variability in the Asia-Pacific region. On the synoptic (2-10-day) timescale, intense tropical cyclones (TCs) and atmospheric synoptic wave trains are often observed. On the intra-seasonal scale, there are significant signals peaking at bi-weekly (10-20-day) and lower-frequency (20-80-day) bands. On the inter-annual (2-7-year) timescale, there are complicated interactions among the El Nino-Southern Oscillation (ENSO), the Indian Ocean variability and the Asian monsoon. The focus of this session is to discuss recent advances in understanding the dynamics and predictability of atmospheric and oceanic variability on synoptic-to-inter-annual time scales and multi-scale interactions among the high-frequency and lower-frequency modes. We welcome all relevant research works involving observational, theoretical and numerical modeling studies. Abstracts in the following research areas are particularly encouraged: 1) Dynamics and prediction of all aspects of TCs (including TC genesis, intensity change and track), 2) Initiation and propagation mechanisms of the Madden-Julian Oscillation (MJO), 3) Dynamics and origin of mid-latitude intra-seasonal oscillation (ISO), 4) Dynamics and predictability of ENSO, 5) Variability and predictability of the Asian-Australian monsoon, and 6) Future projection of the mean climate and synoptic-to-inter-annual variability. |