Goal

· ​Supporting Operational Long-Range Forecasts 

· ​Effective response to extreme climate through in-depth monitoring and analysis of climate variability

Basic Functions

Main Research

Due to global climate change, climate extreme events are occurring more frequently and intensely all over the world, including Korea, resulting in socioeconomic and health problems. Therefore, in a timely manner, strategies should be developed and established to cope with climate extreme events in the Asia-Pacific region. 

The Climate Analytics Department (CAD) in APCC analyzes extreme climate events in Korea and Asia-Pacific region. The CAD also monitors major climate factors including El Nino-Southern Oscillation, Arctic Oscillation, etc., which have influences on extreme climate events. In order to effectively cope with extreme climate events, CAD is developing extreme climate monitoring technology using statistical analysis methods, land surface models, text mining, etc. Based on this research, CAD establishes monitoring analysis systems to detect extreme climate events in Korea and the Asia Pacific region. 

The CAD also analyzes various climate factors that impact Korea’s climate, which can help improve our climate predictions. Also, based on the APCC multi-model ensemble, CAD develops forecasting technologies to improve the performance of climate prediction in Korea. The results of these climate analyses and the development of long-term forecasting technologies are aimed to be utilized directly in the Korea Meteorological Administration’s (KMA) long-term forecasting operations. Related to this, CAD collaborates with KMA and participates in their 1-and 3-month lead forecast discussions and climate analysis discussions.