1. Seasonal prediction and simulation of the cold surges over the Korean Peninsula using a CGCM.
- Author
-
Kim, Eung-Sup, Kryjov, Vladimir N., and Ahn, Joong-Bae
- Subjects
PENINSULAS ,SEASONS ,DISTRIBUTION (Probability theory) ,WINTER ,FORECASTING ,STORM surges - Abstract
Simulation and seasonal prediction of the cold surge characteristics over the Korean Peninsula by the Pusan National University CGCM (PNU CGCM), a participating model in Asia–Pacific Economic Cooperation Climate Center Multi-Model Ensemble Prediction System, are evaluated based on historical seasonal forecasts for 42 years (1980 − 2021). The PNU CGCM skillfully simulates the climatological characteristics of the cold surges of the non-blocking type (nB_CS), and of two blocking types (B_CS), particularly the Ural and Okhotsk blocking types (UR_CS and OK_CS). In both observation and the PNU CGCM simulations, nB_CS is the most frequent type of the cold surges over the Korean Peninsula. Duration and intensity of the nB_CSs are perfectly simulated. However, the number of occurrences and number of days are overestimated. In the model simulations, the number of occurrences and number of days of the UR_CS tend to be overestimated while those of the OK_CS tend to be underestimated. Meanwhile, for each type of cold surges, the difference in probability distributions of the simulated and observed cold surge duration and intensity is not statistically significant. Also, PNU CGCM skillfully simulates spatial–temporal evolution of the wave-train pattern causing the nB_CS, as well as spatial–temporal evolution of both B_CSs, associated with the blocking of the barotropic structure and the passage over the Korean Peninsula of trough of the baroclinic structure. Overall, seasonal predictions of the PNU CGCM are skillful for the wintertime total number of days with the cold surges, and mean intensity of the cold surges. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF