Evaluation of numerical model simulations of precipitation events over Korean Peninsula

The NWP model-named the Korean Integrated Model (KIM), which was developed through the first-phase of Korean Institute of Atmospheric Prediction Systems (KIAPS) was adopted for the operational forecast at the Korea Meteorological Administration (KMA) in April 2020. KIM is a non-hydrostatic spectral-element model based on a cubed-sphere grid with the physics package for the medium-range prediction, and a hybrid four-dimensional ensemble-variation data assimilation (DA) system. The second-phase KIAPS has been developing both model physics, dynamics and DA to improve prediction performance. There have been two recent updates, one being a DA update including extending the usage of several satellite observations, which is mainly done by the KMA, and the other being a model physics done by the KIAPS. In this study, we evaluate the impact of model physics update, especially focusing on the high-impact weather events over the the Korean Peninsula. 
In a previous study, we found that when the forecast lead time is longer, KIM simulates mostly rainfall in the West Sea without heavy rainfall inland. In addition, most of precipitation is produced by the cumulus parameterization scheme (CPS). We confirmed that suppression of deep convection by adjusting the trigger condition in the CPS can improve precipitation distribution and intensity for a heavy rainfall event on the Korean Peninsula. Therefore, including the modification of the CPS process, modified physical processes are updated. 
In this study, we performe a full-cycle experiment for 10-day forecasts over each 2-month summer and winter, and evaluate the overall performance according to the update. By analyzing precipitation events, we will discover the key factors affecting performance of precipitation forecast. These results are expected to show improved forecasting performance compared to the previous version.