Poster

IAMAS

M09 - Mesoscale meteorology

Long-term variability analysis of precipitation in Korea using ground-based observation data

Recently, it has been known that extreme precipitation events (a phenomenon in which a large amount of rain falls in a short period of time) are becoming more frequent worldwide due to climate change. In particular, Korea, which has a dense population in a small area, suffers enormous damage to life and property every year due to extreme precipitation in summer. Accordingly, active research is being conducted to identify the mechanisms of extreme precipitation events and apply them to numerical weather prediction models. However, the long-term characteristics of precipitation events (frequency and intensity) in Korea, such as whether extreme precipitation has actually increased compared to the past, have not been clearly analyzed. In this study, we analyzed the long-term distribution and variability of precipitation frequency and intensity by precipitation intensity (0.1~1, 1~3, 3~15, 15~30, 30~, and 50mm~), season, and diurnal variation (3 and 6 hrs interval for 1 day). The used data were 1-hour accumulated precipitation ground-based observation data from 57 ASOS (Automated Synoptic Observing System) stations, which have been manned and observed by the Korea Meteorological Administration (KMA) for the past 43 years (1982~2024). There was no significant change in the frequency and accumulated precipitation of precipitation events (0.1 mm/hr or more) by year. However, in terms of intensity, the frequency and accumulated precipitation tended to increase in heavy precipitation of 15 mm/hr or more. Regarding the diurnal variation of precipitation, the frequency and accumulated precipitation tended to increase at night (21~06 LST) and decrease in the morning (06~09 LST) and daytime (12~15 LST). To summarize the precipitation characteristics in Korea over the past 43 years, the frequency of heavy precipitation is increasing, and the precipitation frequency decreases and increases during the day and night, respectively. If these analysis results are utilized to improve more effective special report criteria and establish practical forecasts and disaster prevention measures, it is expected that damage to life and property caused by extreme precipitation can be reduced.