A hail climatology in South Korea

Jin, Han; Lee, Hyunho; Lkhamjav, Jambajamts; Baik, Jong‐Jin

doi:10.1016/j.atmosres.2016.12.013

Cited by 11 publications

(5 citation statements)

References 36 publications

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“…In addition, Taszarek et al (2017) asserted that the risk of hailstorms increase along with higher values of wind shear, being this the best parameter for assessing the severity of deep convection events. Our results are also consistent with those obtained by Jin et al (2017), who detected a strong correlation between strong bulk wind shear and hail occurrence.…”

Section: Vertical Wind Shearsupporting

confidence: 93%

“…This is consistent with the research carried out by Taszarek et al (2017), in which higher lapse rates at low levels were found during hail and severe wind gust events. Our results are also in agreement with the conclusions of Jin et al (2017), who detected that the midlevel temperature lapse rate was strongly correlated to hailfall in South Korea.…”

Section: Lapse Ratessupporting

confidence: 93%

See 1 more Smart Citation

Analysis of sounding derived parameters and application to severe weather events in the Canary Islands

Molina

Fernández‐González

González

et al. 2020

Atmospheric Research

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Section: Vertical Wind Shearsupporting

confidence: 93%

Section: Lapse Ratessupporting

confidence: 93%

Analysis of sounding derived parameters and application to severe weather events in the Canary Islands

Molina

Fernández‐González

González

et al. 2020

Atmospheric Research

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“…In other parts of Asia recent climatologies have been derived for South Korea (1972‐2013; Jin et al, ) using data from 32 observation stations for hail 5 mm or greater, and for Mongolia using a similar approach (1984‐2013; Lkhamjav et al, ). While these records reflect important parts of the global understanding, the uneven distribution of stations in these countries means that these climatological frequencies may not be representative of the surrounding region.…”

Section: Surface Observations Of Hailmentioning

confidence: 99%

Understanding Hail in the Earth System

Allen

Giammanco

Kumjian

et al. 2020

Reviews of Geophysics

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The processes leading to the development of hail and the distribution of these events worldwide are reviewed. Microphysical and physical characteristics of hail development are described to provide context of the notable gaps in our understanding of what drives hail to grow large, or what determines how it falls to the ground. Distributional characteristics of hail are explored, utilizing both surface observations of hailstones and remotely sensed observational data sets to identify opportunities and needs for new observations. These observational deficiencies contribute to our limited capacity to both forecast hail or its expected size and reduce the effectiveness of using favorable conditions for hail development as a proxy to frequency where observations are unavailable. Given the substantive influences of both climate variability and the changing Earth system on hail, the latest understanding of their contributions to risk are addressed. Applying this understanding of the distribution and physical characteristics of hail, the damage by hail to agriculture and insured property is assessed. Much remains unknown about the processes leading to hail growth and environmental controls on hail occurrence, size, and magnitude, particularly outside of the United States and Europe. A better understanding of the global occurrence of hail is also needed to better anticipate the hazard and associated impacts.

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“…The most direct method to assess hailstorm climatology is through the collection and collation of reports of hail occurrence at the surface. Many countries maintain such databases (which typically also include reports of tornadoes and straight‐line wind events) and their value has been demonstrated in numerous studies (e.g., Zhang et al ., ; Dotzek et al ., ; Webb et al ., ; Mezher et al ., ; Johnson and Sugden, ; Tuovinen et al ., ; Burcea et al ., ; Ćurić and Janc, ; Kahraman et al ., ; Jin et al ., ). However, these reports are often heavily biased towards population centres, which makes it difficult to assess the true underlying spatial distribution of hailstorms (e.g., Allen and Tippett, ).…”

Section: Introductionmentioning

confidence: 99%

Radar‐based climatology of damaging hailstorms in Brisbane and Sydney, Australia

Warren

Ramsay

Siems

et al. 2020

Quart J Royal Meteoro Soc

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Severe hailstorms represent some of Australia's most costly natural disasters. In particular, the densely populated east‐coast cities of Brisbane and Sydney have both been impacted by events that individually produced over AU$1 billion in insured losses. In this study, the frequency of damaging hailstorms in these regions is assessed over an eight‐year period using single‐polarisation radar observations. Reflectivity data from multiple radars are carefully calibrated and merged to produce daily grids of MESH (the maximum expected size of hail) at 1 km spatial resolution. Neighbourhood contingency tables are then used to define an optimal MESH threshold for identifying damaging hail events. This analysis makes use of a unique insurance dataset, comprising building‐scale exposure and claim data over a multi‐year period. Overall, damaging hailstorms occur on an average of 26 and 32 days per year in the Brisbane and Sydney regions, respectively. The actual cities of Brisbane and Sydney both experience about five damaging hailstorms annually. In both regions, the highest hail frequencies occur along the coastal slopes of the Great Dividing Range, with more localised maxima highlighting the potential role of mesoscale circulations in storm initiation and intensification. For Brisbane, the seasonal cycle shows a pronounced peak in December, while in Sydney hail frequencies are high throughout the warm season (November–March). This difference reflects the distinct seasonal cycles of convective instability in the two regions. Consistent with previous studies, the combination of CAPE and deep‐layer shear is found to provide reasonable discrimination of environments conducive to severe hailstorms.

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A hail climatology in South Korea

Cited by 11 publications

References 36 publications

Analysis of sounding derived parameters and application to severe weather events in the Canary Islands

Analysis of sounding derived parameters and application to severe weather events in the Canary Islands

Understanding Hail in the Earth System

Radar‐based climatology of damaging hailstorms in Brisbane and Sydney, Australia

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