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In this study, we analyzed the spatiotemporal characteristics of heavy rainfall in South Korea over the past 10 years (2013–2022) using clustering methods on Hourly data from 398 observation stations. We derived 18 variables related to heavy rainfall to assess frequency and intensity over diff erent accumulation times (1, 3, and 12 h). After optimizing stations (395), variables (17), normalization (Robust scaling), clustering method (K-means), and the number of clusters (4), we analyzed characteristics in terms of location, sub-seasonal variability, and diurnal variation among the clusters.

In general, the detailed characteristics of the frequency and intensity of heavy rainfall in each cluster vary depending on the accumulation time. Cluster 1 (C1), located at most of inland areas excluding Gyeonggi-do, and C2, in the northern and Jeolla-do regions, have a wide range of occurrences but low heavy rainfall frequencies. Both clusters show relatively high frequencies in July and August and exhibit diurnal patterns with peaks in the early morning and afternoon. And C2 has double the frequency of heavy rainfall in July and August compared to C1. C3 is along the east and south coasts, showing peak frequencies and intensities in August and September with early morning diurnal peaks. C4, located in Jeju, Geoje, and Misiryeong, has the highest frequencies and intensities of heavy rainfall, peaking from June to September. C4, which is mainly located along the coast, has one early morning peak. The three observatories excluded from clustering, located in high-altitude areas of Jeju Island, experienced about four times more frequent heavy rainfall events than other clusters, but with slightly stronger intensity.

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기사명 저자명 페이지 원문 목차
Clustering and characteristic analysis of sub-daily scale (< 12 h) heavy rainfall types in South Korea based on observed rainfall data Ha-Yeong Yu, Myoung-Seok Suh, Ji-su Park, Yu-jeong Song, Chansoo Kim p. [?]
Applicability of reanalysis data in analyzing the occurrence time of extreme temperature events in China Zexiang Li, Yan Wu, Jinxing Sun, Juan Xiao, Hua Li, Huaxia Yao, Shuishi Xie, Lihong Meng, Xiujuan Li, Keyuan Zhong p. [?]
Improvement of dust retrieval algorithm using GK-2 A geo satellite thermal infrared channels by establishing observation Ehsan Parsa Javid, Sang Seo Park, Hyunkwang Lim, Kwang-Mog Lee p. 1-23
Influence of remote thermal disturbances induced by tropical cyclones on the East Asian subtropical westerly jet Tianju Wang, Ju Wang, Bowen Liu p. [?]
(An) investigation of dust activities in southwest Baluchestan, Iran, by synergistic use of handheld sunphotometer measurements and CALIPSO-CALIOP data Amir Masoumi, Ruhollah Moradhaseli, Ali Bayat, Farhad Narouie, Ali Akbari p. [?]
Limitations of ENSO-based prediction of Korean winter temperature Seungwoo Yoo, Jieun Kim, Jinwon Kim, Chang-Hoi Ho p. 1-11
Spatiotemporal analysis of pre-monsoon severe storms in northern Thailand using integrated crowdsourced and official data (2015–2024) Nattapon Mahavik, Apichaya Kangerd, Jamorn Kunwilai, Sarawut Arthayakun p. [?]
Global Ocean Data Assimilation and Prediction System2–ReAnalysis (GODAPS2-RA) project : preliminary results Seung-On Hwang, Yu-Kyung Hyun, Sang-Min Lee, Yeon-Hee Park, Johan Lee p. 1-23
(A) study on the adjustment of global navigation satellite system radio occultation observation errors to improve KIM forecast performance Eun-Hee Kim, Hyoung-Wook Chun, Jiyoung Son, Yong Hee Lee p. 1-19
(A) variable-resolution approach for KIM with a stretched grid Suk-Jin Choi, Hyun Nam p. [?]

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