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Potential Precursory Signals of Localized Torrential Rainfall From Geostationary Satellite and Radar Observations: A Case Study of the 2022 Seoul Flood

Title
Potential Precursory Signals of Localized Torrential Rainfall From Geostationary Satellite and Radar Observations: A Case Study of the 2022 Seoul Flood
Authors
Kim; Gyuyeon; Choi; Yong-Sang; Ho; Junho
Ewha Authors
최용상
SCOPUS Author ID
최용상scopus
Issue Date
2024
Journal Title
Asia-Pacific Journal of Atmospheric Sciences
ISSN
1976-7633JCR Link
Citation
Asia-Pacific Journal of Atmospheric Sciences vol. 60, no. 5, pp. 679 - 692
Keywords
Cloud Properties; Convective Clouds; Localized Torrential Rainfall; Radar; Satellite
Publisher
Korean Meteorological Society
Indexed
SCIE; SCOPUS; KCI WOS scopus
Document Type
Article
Abstract
The Korean Peninsula frequently experiences localized torrential rainfall (LTR) in the summer. However, on August 8, 2022, a peculiar LTR occurred by the continuous generation of convective clouds within a few hours, numerical weather prediction model was hard to forecast such a high intensity of LTR. This study explores the possibility of uncovering potential precursory signals using remote sensing techniques in both Geostationary Korea Multi-Purpose Satellite 2A (GK2A) and the operational RKSG (Camp Humphreys) Weather Surveillance Radar 88 Doppler (WSR-88D). Using cloud properties from GK2A, cloud top temperature showed a decrease and maintained low values below 220 K 1–1.5 h before the LTR events. However, discerning the exact onset of LTR in already mature stage clouds using only GK2A variables proved challenging. Instead, liquid water content from RKSG sharply increased before the LTR started. Our calculation of the LTR potential from a combination of GK2A and RKSG cloud properties shows a more accurate precursory signal of LTR than from GK2A cloud properties solely or RKSG either. This study highlights the synergistic benefits of combining geostationary satellite and radar observations to understand and predict early precursors of LTR events. © The Author(s) 2024.
DOI
10.1007/s13143-024-00376-2
Appears in Collections:
공과대학 > 기후에너지시스템공학과 > Journal papers
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