| Session Details | |
| Section | OS - Ocean Sciences |
| Session Title | Seasonal Climate Predictability and Applicability |
| Main Convener | Dr. Takeshi Doi (Japan Agency for Marine-Earth Science and Technology, Japan) |
| Co-convener(s) | Dr. Wenju Cai (Ocean University of China and Qingdao National Laboratory for Marine Science and Technology, China) Prof. Zhaoyong Guan (Nanjing University of Information Science & Technology, China) Dr. Tim Li (University of Hawaii, United States) Dr. Swadhin Behera (Japan Agency for Marine-Earth Science and Technology, Japan) |
| Session Description | Climate modes such as Asian monsoon, ENSO, ENSO Modoki, and Indian Ocean Dipole affect the socioeconomic conditions in the Asia-Pacific sector. In addition, a few new faces of regional climate modes such as Ningaloo Nino and California Nino are recently identified. The scale-interactions among those global/regional climate phenomena and high frequency climate/weather variations are causing the abnormal weather and extreme events under the stress of global warming. Therefore, it is important to understand the predictability of those climate modes for regional applications. In particular, resolving climate processes on sub-seasonal to decadal timescales will be the basis for improving climate prediction models. Furthermore, the prediction information needs to be delivered in an applicable way to various sectors such as agriculture, water management, human health and urban adaptation. This session will provide an active platform for researchers from climate and social science backgrounds to address the multi-disciplinary aspects of climate analyses, prediction and societal applications. We welcome abstract submissions on any of the subjects related to climate variability, its predictability and related societal applications. |