2010
DOI: 10.1029/2009jd012581
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Observation and numerical prediction of torrential rainfall over Korea caused by Typhoon Rusa (2002)

Abstract: [1] On landfall in 2002, Typhoon Rusa caused record-breaking rainfall (870.5 mm/d) in Gangneung at the foot of the Taebaek Mountain range, Korea. In this study, the predictability of the torrential rainfall associated with the typhoon and the detailed mesoscale precipitation distribution were investigated through numerical simulation. The weather research and forecasting (WRF) model successfully simulates the mesoscale rainfall distibution and timing. With a 10 km (3.3 km) horizontal grid, the model predicted … Show more

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Cited by 23 publications
(13 citation statements)
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References 58 publications
(33 reference statements)
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“…Such environmental changes, along with changes in the associated synoptic fields, could affect the characteristics of TC, which can subsequently alter the damage caused by them in Korea and Japan. For example, Typhoon Rusa in 2002 caused 4.5 billion USD worth of damage in Korea due to record‐breaking heavy rainfall, and Typhoon Songda in 2004 resulted in about 9 billion USD worth of damage in Japan due to flooding and strong winds (Lee and Choi, ; Re, ). These two typhoons caused severe damage in Korea and Japan in the early fall season.…”
Section: Introductionmentioning
confidence: 99%
“…Such environmental changes, along with changes in the associated synoptic fields, could affect the characteristics of TC, which can subsequently alter the damage caused by them in Korea and Japan. For example, Typhoon Rusa in 2002 caused 4.5 billion USD worth of damage in Korea due to record‐breaking heavy rainfall, and Typhoon Songda in 2004 resulted in about 9 billion USD worth of damage in Japan due to flooding and strong winds (Lee and Choi, ; Re, ). These two typhoons caused severe damage in Korea and Japan in the early fall season.…”
Section: Introductionmentioning
confidence: 99%
“…We have to utilize a climate model with a fine resolution of at least less than 10 km for realistic simulation of active hazards, i.e. wind and rainfall (Park and Lee, 2007;Lee and Choi, 2010), which is a difficult task and requires high computing power. Hence, active hazards seem not to be optimal for risk forecasting to help emergent decision making, as well as climate change research with large spatiotemporal scale.…”
Section: Tc Hazards and Risk Of Different Track Typesmentioning
confidence: 99%
“…Interestingly, they tend to focus on either the extratropical transition (ET, Evans et al 2017) of TCs (e.g. Klein et al 2000;Harr and Elsberry 2000;Jones et al 2003;Elsberry 2003, 2007;Anwender et al 2008;Keller et al 2019;Pohorsky et al 2019) or the antecedent rainfall well ahead of TCs (Cote 2007;Stohl et al 2008;Srock and Bosart 2009;Galarneau et al 2010;Lee and Choi 2010;Bosart et al 2012;Baek et al 2013;Moore et al 2013). Oswald was not a well-defined ET event, since the circulation had made landfall and had weakened below TC intensity before any interaction took place.…”
Section: Introductionmentioning
confidence: 99%