Analysis of Temperature Changes in Korea via Change Point Detection Algorithm

Global warming is increasingly recognized as a pressing global issue, with South Korea experiencing a rate of temperature increase exceeding the global average. The impacts of these climatic changes span various sectors, emphasizing the need for a deeper understanding of temperature trends and their implications. This study investigates long-term temperature trends in South Korea by applying popular change point detection (CPD) algorithms to identify when significant temperature changes occurred. Using daily average temperature data from eight major cities from 1969-2023, we employ CPD methods such as binary segmentation, PELT, window sliding, and bottom-up segmentation to pinpoint and compare temperature change points in time-series data. Consequntly, significant change points were detected in 1987 and 2014. Our findings underscore the presence of critical temperature shifts and the growing urgency for South Korea to implement nationwide strategies in response to this accelerating climate change.