Statistical prediction of heavy rain in South Korea

2005 ◽  
Vol 22 (5) ◽  
pp. 703-710 ◽  
Author(s):  
Keon Tae Sohn ◽  
Jeong Hyeong Lee ◽  
Soon Hwan Lee ◽  
Chan Su Ryu
Keyword(s):  
South Korea ◽  
Heavy Rain ◽  
Statistical Prediction

scholarly journals Heavy Rain Types for Triggering Shallow Landslides in South Korea

2015 ◽  
Vol 60 (1) ◽  
pp. 243-249 ◽  
Author(s):  
Suk-Woo Kim ◽  
Kun-Woo Chun ◽  
Kyoichi Otsuki ◽  
Yoshinori Shinohara ◽  
Man–Il Kim ◽  
...  
Keyword(s):  
South Korea ◽  
Heavy Rain ◽  
Shallow Landslides

scholarly journals Evaluation of Rainfall Forecasts with Heavy Rain Types in the High-Resolution Unified Model over South Korea

2019 ◽  
Vol 34 (5) ◽  
pp. 1277-1293 ◽  
Author(s):  
Hwan-Jin Song ◽  
Byunghwan Lim ◽  
Sangwon Joo
Keyword(s):  
High Resolution ◽  
South Korea ◽  
Korean Peninsula ◽  
Heavy Rainfall ◽  
Rainfall Intensity ◽  
Heavy Rain ◽  
Unified Model ◽  
Moderate Intensity ◽  
Local Data ◽  
Total Rainfall

Abstract Heavy rainfall events account for most socioeconomic damages caused by natural disasters in South Korea. However, the microphysical understanding of heavy rain is still lacking, leading to uncertainties in quantitative rainfall prediction. This study is aimed at evaluating rainfall forecasts in the Local Data Assimilation and Prediction System (LDAPS), a high-resolution configuration of the Unified Model over the Korean Peninsula. The rainfall of LDAPS forecasts was evaluated with observations based on two types of heavy rain events classified from K-means clustering for the relationship between surface rainfall intensity and cloud-top height. LDAPS forecasts were characterized by more heavy rain cases with high cloud-top heights (cold-type heavy rain) in contrast to observations showing frequent moderate-intensity rain systems with relatively lower cloud-top heights (warm-type heavy rain) over South Korea. The observed cold-type and warm-type events accounted for 32.7% and 67.3% of total rainfall, whereas LDAPS forecasts accounted for 65.3% and 34.7%, respectively. This indicates severe overestimation and underestimation of total rainfall for the cold-type and warm-type forecast events, respectively. The overestimation of cold-type heavy rainfall was mainly due to its frequent occurrence, whereas the underestimation of warm-type heavy rainfall was affected by both its low occurrence and weak intensity. The rainfall forecast skill for the warm-type events was much lower than for the cold-type events, due to the lower rainfall intensity and smaller rain area of the warm-type. Therefore, cloud parameterizations for warm-type heavy rain should be improved to enhance rainfall forecasts over the Korean Peninsula.

scholarly journals Determining the Risk Level of Heavy Rain Damage by Region in South Korea

Water ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 219
Author(s):  
Jongsung Kim ◽  
Donghyun Kim ◽  
Myungjin Lee ◽  
Heechan Han ◽  
Hung Soo Kim
Keyword(s):  
Risk Assessment ◽  
South Korea ◽  
Risk Index ◽  
National Level ◽  
Heavy Rain ◽  
Quantitative Risk Assessment ◽  
Risk Level ◽  
Disaster Prevention ◽  
Qualitative Risk Assessment ◽  
Regional Risk

For risk assessment, two methods, quantitative risk assessment and qualitative risk assessment, are used. In this study, we identified the regional risk level for a disaster-prevention plan for an overall area at the national level using qualitative risk assessment. To overcome the limitations of previous studies, a heavy rain damage risk index (HDRI) was proposed by clarifying the framework and using the indicator selection principle. Using historical damage data, we also carried out hierarchical cluster analysis to identify the major damage types that were not considered in previous risk-assessment studies. The result of the risk-level analysis revealed that risk levels are relatively high in some cities in South Korea where heavy rain damage occurs frequently or is severe. Five causes of damage were derived from this study—A: landslides, B: river inundation, C: poor drainage in arable areas, D: rapid water velocity, and E: inundation in urban lowlands. Finally, a prevention project was proposed considering regional risk level and damage type in this study. Our results can be used when macroscopically planning mid- to long-term disaster prevention projects.

Variability and Singularity of Seoul, South Korea, Rainy Season (1778–2004)

2007 ◽  
Vol 20 (11) ◽  
pp. 2572-2580 ◽  
Author(s):  
Bin Wang ◽  
Jong-Ghap Jhun ◽  
Byung-Kwon Moon
Keyword(s):  
South Korea ◽  
Rainy Season ◽  
Phase Locking ◽  
Summer Precipitation ◽  
Heavy Rain ◽  
Spectral Peak ◽  
Extreme Weather Events ◽  
Severe Drought ◽  
Large Power ◽  
Precipitation Record

Abstract The 227-yr daily precipitation record gathered for Seoul, South Korea, represents one of the longest instrumental measurements, which provides an exceptional opportunity for detecting climate singularity (a property of phase locking to annual cycle) of extreme weather events and multidecadal–centennial variability of the rainy season structure. From late June to early September, the occurrence of heavy rain events shows a climatological quasi-biweekly oscillation. The rainy season characteristics, including the dates of onset, retreat, summit, and the duration, all show significant centennial variations. The rainy season summit shows a tendency toward delayed occurrence, which changed from the 37th pentad (P37; 30 June–4 July) during the 1778–1807 period to P44 (4–8 August) during the 1975–2004 period. The amplitude of the interannual (2–6 yr) variation of summer precipitation shows a prominent fluctuation with a 50-yr rhythm. A notable climatological break (around 9–13 August) divides the rainy season into a changma (Korean for continuous rain period) and a post-changma period. The major modes of subseasonal variability of the rainy season are characterized by an advanced changma and an enhanced post-changma, respectively. The former is dominated by biennial variation, whereas the latter has a major 5-yr spectral peak, suggesting that the processes leading to their variability are different. The occurrence of severe drought events exhibits a 4-yr spectral peak along with large power on a centennial time scale, while the severe flood events have a spectral peak at 3 and 19 yr, respectively. The remarkable climate variability in Seoul rainfall suggests that trends detected by using a 50-yr-or-shorter precipitation record likely reflect natural variability.

Impacts of typhoon and heavy rain disasters on mortality and infectious diarrhea hospitalization in South Korea

2013 ◽  
Vol 23 (5) ◽  
pp. 365-376 ◽  
Author(s):  
Sunduk Kim ◽  
Yongseung Shin ◽  
Ho Kim ◽  
Haeoyong Pak ◽  
Jongsik Ha
Keyword(s):  
South Korea ◽  
Heavy Rain ◽  
Infectious Diarrhea

scholarly journals Spatiotemporal Pattern Networks of Heavy Rain among Automatic Weather Stations and Very-Short-Term Heavy-Rain Prediction

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Yong-Hyuk Kim ◽  
Yourim Yoon
Keyword(s):  
South Korea ◽  
Heavy Rain ◽  
Spatiotemporal Pattern ◽  
Precipitation Data ◽  
Short Term ◽  
Hourly Precipitation ◽  
Weather Stations

Spatiotemporal pattern networks of heavy rain among automatic weather stations, which reflect the mobility of heavy rain, were constructed and analyzed based on the hourly precipitation data over the last ten years (from 2003 to 2012) in South Korea. Moreover, a new algorithm applying the constructed heavy-rain pattern networks to very-short-term heavy-rain prediction was developed, and significant prediction results could be obtained.

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