Abstract

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.

Presenter Profile

In-Sik Kang is an Honorary Retired Professor at Seoul National University in Korea, Distinguished Visiting Professor of Tsinghua University, and Director of the Indian Ocean Center of the Second Oceanographic Institute of the National Oceanic Administration. Professor In-Sik Kang is an internationally renowned expert on climate research and climate model development, a member of the Joint Scientific Committee of the World Climate Research Programme (WCRP), and was awarded the Unje Science Award by the Korean Meteorological Society in 2015. He published more than 180 SCI papers, which have been cited nearly 10,000 times.