Predictability Study of Snowfall Case over South Korea Using TIGGE Data on 28 December 2012

Lee, Sang‐Min; Han, Sang-Un; Won, Hye Young; Ha, Jong-Chul; Lee, Jeongsoon; Sim, Jae-Kwan; Lee, Yong Hee

doi:10.14191/atmos.2014.24.1.001

Cited by 8 publications

(4 citation statements)

References 14 publications

(13 reference statements)

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“…Other huge positive anomalies of geopotential heights over the Kamchatka Peninsula for the 2016 heat wave events exist; for example, in 2016E, there is a prominent blocking high over the Kamchatka Peninsula with a large expansion of the continental thermal high. According to the previous studies, the anomalous anticyclone over the Kamchatka Peninsula during a heat wave acts as atmospheric blocking, downstream of the Korean Peninsula, blocking the eastward movement of positive geopotential height anomalies over East Asia, causing long-lasting high-temperature events (Yeh et al 2018; K. H. Min et al 2020). As East Asia is one of the regions affected by prevailing westerlies, there exists an eastward mean flow in the midlevel atmosphere.…”

Section: A Characteristics Of 2016 and 2018 Heat Wave Eventsmentioning

confidence: 99%

“…Table 3 describes the heat wave indices for the heat wave events of 2016 and 2018; rankings of each event based on HWTI and HWI among 97 heat wave events during 1980-2018 are also shown. The most severe heat wave in the summer of 2016 was from 10 to 15 August (2016D); previous studies also mention this period to be the most intense one, in terms of maximum temperature (Yeh et al 2018;K. H. Min et al 2020).…”

Section: A Characteristics Of 2016 and 2018 Heat Wave Eventsmentioning

confidence: 99%

“…South Korea, for instance, suffered from extreme heat waves in 1994(Kysely and Kim 2009Yeh et al 2018;Im et al 2019;S.-K. Min et al 2020). In particular, the heat waves of 2016 and 2018 have been recorded as the most prolonged and harmful ones ever (Lee et al 2020). According to the Korea Centers for Disease Control and Prevention, there were 2125 people with heat-related diseases in 2016 in South Korea due to a heat wave lasting over 22 days; this record was broken in 2018 with 4526 people.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, on comparison with previous heat waves, the geopotential height over the Kamchatka Peninsula in August 2016 was the highest since 1979, causing atmospheric blocking downstream of the Korean Peninsula. K. H. Min et al (2020) examined widespread blocking events over the northern Pacific Ocean and Asia during the South Korean heat waves in 1994, 2013, and 2016, using blocking indices. During heat waves, the blocks were large and extended to much of the North Pacific and Asia, indicating that the atmospheric flow in the region became stationary.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of Regional Climate Model Performances for Different Types of Heat Waves over South Korea

et al. 2021

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South Korea’s heat wave events over 39 years (1980–2018) were defined by spatiotemporal criteria, and their quantitative characteristics were analyzed. The duration and intensity of these events ranked the highest in 2016 and 2018. An examination of synoptic conditions of heat wave events in 2016 and 2018 based on a reanalysis dataset revealed a positive anomaly of 500-hPa geopotential height, which could have induced warm conditions over the Korean Peninsula in both years. However, a difference prevailed in that there was a blocking high over the Kamchatka Peninsula and a continental thermal high over northern China in 2016, while the expansion of the western North Pacific subtropical-high was mainly associated with 2018 heat wave events. Numerical experiments using the Weather Research and Forecasting model (WRF) were conducted to (1) evaluate how distinct meteorological characteristics of heat wave events in 2016 and 2018 were reproduced by the model, and (2) investigate how they affect extreme temperature events. Typical synoptic features of the 2016 heat wave events (i.e., Kamchatka blocking and continental thermal high) were not captured well by the WRF model, while those of 2018 were reasonably reproduced. On the contrary, the heat wave event during late-August 2016 related to the Kamchatka blocking high was realistically simulated when the blocking was artificially persisted by applying the spectral nudging. In conclusion, the existence of a blocking high over the Kamchatka region (i.e., northern Pacific region) is an important feature to accurately predict long-lasted heat waves in East Asia.

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Section: A Characteristics Of 2016 and 2018 Heat Wave Eventsmentioning

confidence: 99%

Section: A Characteristics Of 2016 and 2018 Heat Wave Eventsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparison of Regional Climate Model Performances for Different Types of Heat Waves over South Korea

et al. 2021

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Regional characteristics of hot days and tropical nights in the Honam area, South Korea

Park

Lee

Chang

et al. 2022

Atmospheric Science Letters

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This study analyses the regional characteristics of heat extremes (hot days and tropical nights) in the Honam area of South Korea during the recent 23 years by using weather station data. The results based on the binary classifications of stations, that is, inland versus coastal and urban versus rural, show hot days in inland regions are climatologically more frequent, and present higher interannual variability and more evident increasing trend than coastal regions. On the other hand, inland regions are exposed to less active tropical nights. The thermal characteristics associated with the oceanic (or continental) climate at which the station is located are responsible for the inland-coastal dependency of frequencies in hot days and tropical nights. The noticeable discrimination between urban and rural stations, categorized by population, appears only in tropical night occurrences, while hot days are independent of urban-rural contrast. In urban stations, tropical night occurrences are climatologically higher, interannually more active, and recently more frequent. Regarding the urban heat island, the additional nocturnal heat leads to the urban concentrated activity of tropical nights. Our analyses suggest that for accurate forecasts of hot days and tropical nights, different regional environments must be considered.

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The interannual synchronization of the heatwave days in Korea and western North Pacific tropical cyclone genesis frequency

Cha

Choi

Ahn

2022

Intl Journal of Climatology

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This study conducted a correlation analysis between tropical cyclone genesis frequency (TCGF) in the western North Pacific (WNP) and heatwave days (HWD) in Korea during July and August for 1973-2018 and we found a strong positive correlation between them. This implied that the higher the TCGF in the WNP during July and August, the higher the HWD in Korea becomes. To examine the cause of the positive correlation between the TCGF during July and August in the WNP and the HWD in Korea, 15 years with the highest frequency and the lowest frequency out of the 46 years in the TCGF time series were selected and defined as high TCGF years and low TCGF years, respectively. According to the difference in atmospheric circulations between the two groups, in all layers of the troposphere, anomalous anticyclonic and cyclonic circulations were strengthened in the mid-latitude region of East Asia and in the WNP, respectively, which was similar to the Pacific-Japan (PJ) teleconnection pattern. The difference in the vertical meridional circulation averaged over the longitude range where Korea is located showed that anomalous upward and downward flows were strengthened in the WNP and in the latitude where Korea is located, respectively. This implied that the local Hadley circulation was strengthened during high TCGF years. Five hundred hectopascal wave activity flux originated from the North Atlantic, passed through the Scandinavian Peninsula, the North coast of Russia, and East Siberia before reaching Korea and the WNP. This spatial distribution was similar to the Scandinavia teleconnection pattern.

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Predictability Study of Snowfall Case over South Korea Using TIGGE Data on 28 December 2012

Cited by 8 publications

References 14 publications

Comparison of Regional Climate Model Performances for Different Types of Heat Waves over South Korea

Comparison of Regional Climate Model Performances for Different Types of Heat Waves over South Korea

Regional characteristics of hot days and tropical nights in the Honam area, South Korea

The interannual synchronization of the heatwave days in Korea and western North Pacific tropical cyclone genesis frequency

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