A numerical simulation of a strong windstorm event in the Taebaek Mountain Region in Korea during the ICE-POP 2018

Park, Ja-Rin; Kim, Jung-Hoon; Shin, Yewon; Kim, Soohyun; Chun, Hye‐Yeong; Jang, Wook; Tsai, Chia‐Lun; Lee, GyuWon

doi:10.1016/j.atmosres.2022.106158

Cited by 6 publications

(9 citation statements)

References 52 publications

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“…At the PyeongChang 2018 Olympic and Paralympic Winter Games, there was a DW event that caused structural damage to and the cancellations of some outdoor games such as the ski jump and biathlon on 14–15 February 2018. The YD region was the main area for the International Collaborative Experiments for the Pyeongchang 2018 Olympic and Paralympic Winter Games (ICE‐POP 2018; Park et al., 2022). Previous studies have shown that when DWs associated with wildfires occurred in this region, south‐high and north‐low synoptic SLP patterns have frequently been observed and accompanied by warm advection and an inversion layer near the top of the mountains (Jang & Chun, 2010; Kim & Chung, 2006).…”

Section: Discussionmentioning

confidence: 99%

“…Specifically, cluster 6 was found to most frequently occur in March and April, and cluster 7 was found to mostly occur from October to March, reflecting a similarity with the spatially close patterns in the SOM node arrangement. This strong low‐pressure system partly related to lee cyclogenesis (Lee et al., 1998) generated strong surface winds not only in the spring but also in the winter (Cho et al., 2015; Park et al., 2022).…”

Section: Classified Synoptic Patternsmentioning

confidence: 99%

“…In Type 2 (clusters 3, 4, and 8), a strong high‐pressure system (Siberian high) formed by accumulated cold air masses on the Eurasian continent during the winter was extended to eastern China and Korea, and a low‐pressure system developed in the East Sea (possibly related to lee cyclogenesis; Lee et al., 1998) or moved eastward to Hokkaido, Japan (Aleutian low). These systems eventually formed dense isobars between the high on the left and the low on the right, consequently providing strong background and gusty surface winds across the Korean Peninsula (Cho et al., 2015; Park et al., 2022).…”

Section: Classified Synoptic Patternsmentioning

confidence: 99%

“…In Type 3 (clusters 6 and 7), the low‐pressure systems may have developed under the influence of baroclinic instability or lee cyclogenesis (Lee et al., 1998). Close isobars were formed near the strong low‐pressure system, rather than the relatively weak high‐pressure system, and the enhanced horizontal pressure gradient across the TM resulted in gusty winds in YD region (Cho et al., 2015; Park & Han, 2021; Park et al., 2022). This type may have had a surface front that caused strong wind with precipitation upstream.…”

Section: Classified Synoptic Patternsmentioning

confidence: 99%

“…In this region, the lee slope is so steep that DW events frequently occur in the springtime and the wintertime and have been responsible for historical wildfires. DWs also caused structural damage, cancellations, and delays of the ski jump and biathlon competitions on 14–15 February 2018 during the 2018 Pyeongchang Winter Olympic Games (Park et al., 2022).…”

Section: Introductionmentioning

confidence: 99%

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Classification of Synoptic Patterns With Mesoscale Mechanisms for Downslope Windstorms in Korea Using a Self‐Organizing Map

et al. 2022

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Downslope windstorms (DWs) are responsible for wildfires, wind gusts, and turbulence on the lee side of the Taebaek Mountains in the Yeongdong (YD) region of Korea. We classified the synoptic conditions of the windstorms in the YD region using a self‐organizing map (SOM). For windstorm events from 1979 to 2019, sea level pressure anomalies were used to train the SOM. It was found that the synoptic patterns could be classified into three representative types: (1) the south‐high and north‐low pattern in the spring, (2) the west‐high and east‐low pattern in the winter, and (3) the strong low‐pressure system passing through the northern part of Korea. At 850 hPa, prevailing southwesterly and northwesterly flows with warm and cold advections were dominant in Types 1 and 2, respectively. And, Type 3 presented a well‐developed baroclinic system of cyclone. Adiabatic warming by downslope windstorm was the strongest in Type 1, which was likely to have a huge impact on the spread of wildfires. Three mesoscale generation mechanisms were examined under different synoptic patterns. The hydraulic‐jump theory was dominant for the windstorms in Type 2 due to upstream flows with moderate Froude numbers and inversion layers. The partial reflection of mountain waves was found in all types but was more frequent in Type 1 than others. DWs with wave breakings at critical levels mostly occurred in Type 1. This objective classification of weather patterns responsible for DWs in the YD region may improve predictions and future projections of this event, particularly in light of ongoing climate changes.

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Section: Discussionmentioning

confidence: 99%

Section: Classified Synoptic Patternsmentioning

confidence: 99%

Section: Classified Synoptic Patternsmentioning

confidence: 99%

Section: Classified Synoptic Patternsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Classification of Synoptic Patterns With Mesoscale Mechanisms for Downslope Windstorms in Korea Using a Self‐Organizing Map

et al. 2022

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Use of Targeted Orographic Smoothing in Very High Resolution Simulations of a Downslope Windstorm and Rotor in a Sub-tropical Highland Location

Sheridan,

Xu,

et al. 2023

Adv. Atmos. Sci.

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Nested simulations of a downslope windstorm over Cangshan mountain, Yunnan, China, have been used to demonstrate a method of topographic smoothing that preserves a relatively large amount of terrain detail compared to typical smoothing procedures required for models with terrain-following grids to run stably. The simulations were carried out using the Met Office Unified Model (MetUM) to investigate downslope winds. The smoothing method seamlessly blends two terrain datasets to which uniform smoothing has been applied–one with a minimum of smoothing, the other smoothed more heavily to remove gradients that would cause model instabilities. The latter dataset dominates the blend where the steepest slopes exist, but this is localised and recedes outside these areas. As a result, increased detail is starkly apparent in depictions of flow simulated using the blend, compared to one using the default approach. This includes qualitative flow details that were absent in the latter, such as narrow shooting flows emerging from roughly 1–2 km wide leeside channels. Flow separation is more common due to steeper lee slopes. The use of targeted smoothing also results in increased lee side temporal variability at a given point during the windstorm, including over flat areas. Low-/high-pass filtering of the wind perturbation field reveals that relative spatial variability above 30 km in scale (reflecting the background flow) is similar whether or not targeting is used. Beneath this scale, when smoothing is targeted, relative flow variability decreases at the larger scales, and increases at lower scales. This seems linked to fast smaller scale flows disturbing more coherent flows (notably an along-valley current over Erhai Lake). Spatial variability of winds in the model is unsurprisingly weaker at key times than is observed across a local network sampling mesoscale variation, but results are compromised due to relatively few observation locations sampling the windstorm. Only when targeted smoothing is applied does the model capture the downslope windstorm’s extension over the city of Dali at the mountain’s foot, and the peak mean absolute wind.

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Field measurement analysis of wind parameters and nonstationary characteristics in mountainous terrain: Focusing on cooling windstorms

Jiang

Zhang

et al. 2022

Journal of Wind Engineering and Industrial Aerodynamics

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A numerical simulation of a strong windstorm event in the Taebaek Mountain Region in Korea during the ICE-POP 2018

Cited by 6 publications

References 52 publications

Classification of Synoptic Patterns With Mesoscale Mechanisms for Downslope Windstorms in Korea Using a Self‐Organizing Map

Classification of Synoptic Patterns With Mesoscale Mechanisms for Downslope Windstorms in Korea Using a Self‐Organizing Map

Use of Targeted Orographic Smoothing in Very High Resolution Simulations of a Downslope Windstorm and Rotor in a Sub-tropical Highland Location

Field measurement analysis of wind parameters and nonstationary characteristics in mountainous terrain: Focusing on cooling windstorms

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