讲座简介

The present seminar presents a development strategy of a relatively high-resolution general circulation model (GCM) of an order of 10 km with explicit moisture physics. It is demonstrated that the GCM requires a full representation of cloud microphysics to simulate the precipitation statistics reasonably well, particularly extreme precipitation frequency, and moisture related phenomena such as the Madden and Julian Oscillation (MJO), close to those of observation. In the present study, the cloud microphysics is modified to allow its implementation in a GCM with a horizontal resolution of 50 km. The GCM with cloud microphysics requires additional vertical mixing processes in the lower and upper troposphere. The newly developed GCM with a horizontal resolution of 50 km, which includes explicit cloud microphysics and a scale-adaptive convective parameterization, simulates precipitation statistics and the MJO more realistically than those produced by the conventional GCMs with convective parameterization.

主讲人简介

In-Sik Kang(康仁植),韩国国立首尔大学荣誉退休教授，清华大学杰出访问教授，目前为国家海洋局第二海洋研究所印度洋中心主任。康仁植教授是气候研究和气候模式发展方面的国际知名专家，世界气候研究计划（WCRP）联合科学委员会成员，2015年获韩国气象学会Unje科学奖。发表SCI论文180余篇，引用近万次。