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Symposia List (Sessions): M20 - High resolution modelling of regional and local climate

Title: Characteristics of the mesoscale convective system based on convection-permitting simulations of heavy precipitation in Korea

Authors: 1. Dabeen SONG, Department of Civil and Environmental Engineering,The Hong Kong University of Science and Technology,Hong Kong,China

2. Eun-Soon IM*, Division of Environment and Sustainability,The Hong Kong University of Science and Technology,Hong Kong,China

3. Xingchao CHEN, Department of Meteorology and Atmospheric Science,The Pennsylvania State University,University Park,Pennsylvania,United States

4. Daeun KWON, Division of Environmental Science and Engineering,POSTECH,Pohang,Republic of Korea

5. Ga-Yeong SEO, Division of Environmental Science and Engineering,POSTECH,Pohang,Republic of Korea

6. Seung-Ki MIN, Division of Environmental Science and Engineering,POSTECH,Pohang,Republic of Korea
*Presenting Author

Abstract: While the added value of Convection-Permitting Models (CPMs) in precipitation simulations compared to regional climate models with typical horizontal resolutions has been gradually recognized across various regions, systematic investigations of CPMs' ability to capture the major characteristics of extreme precipitation in South Korea remain limited. To address this gap, a Weather Research and Forecasting (WRF)-based CPM with a 3 km horizontal resolution was developed and its performance was optimized in terms of domain size and spectral nudging on/off effect. Given that CPMs can better resolve the important convective processes explicitly, the analysis will focus on the temporal and spatial characteristics of mesoscale convective system (MCS) and non-MCS deep convection as well as their contributions to record breaking heavy precipitation in Korea. For this purpose, a process-oriented cloud classification and tracking algorithm is employed to identify different types of convective systems in the CPM simulations. The regional patterns of MCS track density and propagation speed along with their causal relationship with the peak timing and position of precipitation will be investigated. These analyses could provide valuable insight for understanding key factors behind the occurrence of heavy precipitation in Korea and serve benchmarks for evaluating and diagnosing CPM simulations.