| Session Details | |
| Section | AS - Atmospheric Sciences |
| Session Title | Utilizing the Cloud-resolving Models for Studying Cloud-related Processes in Global Model / Climate Simulation |
| Main Convener | Prof. Chung-Hsiung Sui (National Taiwan University, Taiwan) |
| Co-convener(s) | Prof. Masaki Satoh (The University of Tokyo, Japan) Dr. Wei-Kuo Tao (NASA Goddard Space Flight Center, United States) Prof. Pay-Liam Lin (National Central University, Taiwan) Prof. Chuanfeng Zhao (Beijing Normal University, China) |
| Session Description | Cloud-system-related problems are at the heart of modeling studies of climate variability and change because convective clouds vertically redistribute heat and moisture in the tropical and global water cycle through precipitation and cloud-radiative interactions. The development of cloud-resolving models (CRMs) provides a unique opportunity to evaluate and improve the existing convection, cloud and radiation schemes used in current global and regional models. A major focus of this session is to provide a forum for researchers to present ongoing studies on the cloud-system-related problems using models with cloud resolving physics. We solicit the following (but not limited to) studies: to use microphysical schemes in NWP models; to represent partial cloud fraction in the context of cloud-radiation interactions in NWP models; to use CRMs to improve parameterizations of subgrid-scale physical processes and to understand interaction of cloud systems with large-scale circulations in regional and global models. In addition, cloud system modeling in complicated terrain is a recent focus of the Year of Maritime Continent (MC). The MC hosts one of the major equatorial atmospheric convection centers. The tremendous energy released by convection over the MC fuels the global atmospheric circulation and excites wave trains when the MJO convection resides over the MC. Unfortunately, current GCMs and NWP models suffer from significant biases and limited predictions skill in the MC region. It is a great challenge for the models to reproduce the cloud systems associated with diurnal cycle, the MJO, and the monsoon flow. Even models with the high resolutions encounter similar problems. Prediction skill of rainfall, especially its extreme events, in the MC is very limited. Therefore we solicit modeling studies of cloud systems in the MC with CRMs and high resolution regional and global models. |