It also enhanced the long-term prediction reliability by improving the understanding of Korea's climate characteristics through the development of various climate contents and in-depth climate analysis.

Firstly, APCC tried to improve the understanding of the physical characteristics of Korean heat waves according to the atmospheric circulation structure. Secondly, it analyzed the relationship between the fluctuation of summer precipitation in Korea and the subtropical high pressure in the Northwest Pacific as well as monthly extreme cases in summer and winter months.

Thirdly, it also improved the understanding of weekly temperature fluctuation for Korean winter according to the combined effects of El Niño-Southern Oscillation and the Arctic Oscillation Index in the intra-seasonal prediction. Lastly, It developed statistical temperature prediction model based on APCC Multi-Model Ensemble (MME).

In 2019, APCC also supported KMA's operation of the World Meteorological Organization Lead Center (WMOLC) and long-term forecasting by presenting monthly climate analysis results and attending discussions on 3-month climate prediction etc.

Through these efforts, APCC has led the development of long-term forecasting capabilities at home and abroad, and contributed to the provision of high-quality long-term forecasting information services.