Colorado Lightning Climatology

Hodanish, Stephen J.; Vogt, Brandon J.; Wolyn, Paul G.

doi:10.15191/nwajom.2019.0704

Cited by 4 publications

(2 citation statements)

References 32 publications

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“…Several studies have shown the widespread use and popularity of GIS applications with lightning data (Ali et al, 2018;Biswas et al, 2020;Edirisinghe & Maduranga, 2021;Farukh et al, 2017;Hodanish et al, 2019;Javor et al, 2018;Mammadov et al, 2021;Mishra et al, 2022;Misztal & Siłuch, 2021). However, due to the limitation of information provided by the commercially available LLS, utility found it difficult to work, especially on finding the root cause and correlation of tripping with some other factors such as topography and weather data, thus limiting the research on utilizing GIS for transmission lines' lightning performance evaluation.…”

Section: Figure 1 History Of Lightning Location System In Peninsular ...mentioning

confidence: 99%

Development of GIS-based Ground Flash Density and its Statistical Analysis for Lightning Performance Evaluation of Transmission Lines in Peninsular Malaysia

Roslan,

Ungku Amirulddin,

Ab. Kadir

et al. 2024

JST

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Malaysia is one of the world's highest lightning regions, making it an ideal location for studying lightning activities, as they cause many power outages on overhead transmission lines. This study presents ground flash density (GFD) mapping and statistical analysis of lightning flash data in Peninsular Malaysia, which will be used to evaluate the lightning performance of transmission lines. Using Geographical Information System (GIS) software, the GFD map and lightning flash data for statistical analysis were extracted. MATLAB was then used to perform statistical analysis and obtain the probability of peak lightning current using the generalized extreme value (GEV) distribution. This study analyzed six years of lightning flash data from 2012 to 2017 recorded by the Lightning Location System (LLS) and used the Peninsular Malaysia base map from the Department of Survey and Mapping Malaysia (JUPEM). Results show that the GFD mapping approach effectively classifies GFD distribution and identifies areas with high lightning activity. 81% of 4,536,380 lightning flashes were negative polarity, with a higher mean peak current magnitude than positive ones. More lightning activity was observed during the Southwest Monsoon (June-September) and the first Inter-Monsoon season (April-May). Pahang had the most lightning flashes due to its large land area. The GFD map overlaid on the transmission line demonstrated how lightning performance on the transmission line can be assessed. These findings are useful for utility and protection engineers to improve the performance of transmission lines.

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Section: Figure 1 History Of Lightning Location System In Peninsular ...mentioning

confidence: 99%

Development of GIS-based Ground Flash Density and its Statistical Analysis for Lightning Performance Evaluation of Transmission Lines in Peninsular Malaysia

Roslan,

Ungku Amirulddin,

Ab. Kadir

et al. 2024

JST

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show abstract

“…Because this temperature level is slightly higher than the mixed phase layer (Petersen et al 2005). Proximity to water sources and wet mountains also increases thunderstorm activities (Hodanish and Wolyn 2012), because the heights cause the forced ascent of the air mass and intensify the instability of convective systems (Kilinc and Beringer 2007).…”

Section: Introductionmentioning

confidence: 99%

Spatial-statistical analysis of lightning events in Iran

mahmoudabadi,

Sadeghi

2023

Preprint

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The purpose of this study is to investigate the phenomenon of lightning in Iran in an eleven-year statistical period (2006–2016). For this purpose, precipitation data which included days with lightning (codes 92, 94, 95, 96, 97, 98), were extracted from other atmospheric phenomena and their spatial and temporal distribution was investigated on a monthly and yearly scale. Then, Iran was divided into 5 regions including: North and Northwest, West and Southwest, Centre, East and Northeast, South and Southeast. The obtained results showed that the highest rate of lightning activity is in stations in the north and northwest. In this region, the highest number of lightning events occur in the months of April to July and the least are in January to March. In the western and southwestern and eastern and southeastern regions, the frequency of lightning is higher in the months of March to June. But the lowest incidence is in the west and southwest region in June to September and in the east and northeast in July to December. In the central region, the spring season has the highest and September and December have the lowest occurrence of lightning. In the south and southeast region, autumn and spring have the most and June to September have the least occurrence of lightning. In general, the frequency of lightning events in the north and northwest stations is higher than in other regions of Iran. The lowest incidence of lightning phenomenon is also seen in the central parts and southeast of Iran.

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An Updated Severe Hail and Tornado Climatology for Eastern Colorado

Childs

Schumacher

2019

Journal of Applied Meteorology and Climatology

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A localized tornado and severe hail climatology is updated and enhanced for eastern Colorado. This region is one of the most active severe weather areas in the United States because of its location immediately east of the Rocky Mountains, intrusions of Gulf of Mexico moisture into a dry climate, and various small-scale topographically forced features such as the “Denver Cyclone.” Since the 1950s, both annual tornado and severe (≥1.0 in.; 1 in. = 25.4 mm) hail reports and days have been increasing across the area, but several nonmeteorological factors distort the record. Of note is a large population bias in the severe hail data, with reports aligned along major roadways and in cities, and several field projects contributing to an absence of (E)F0 tornado reports [on the (enhanced) Fujita scale] in the 1980s. In the more consistently observed period since 1997, tornado reports and days show a slight decreasing trend while severe hail reports and days show an increasing trend, although large variability exists on the county level. Eastern Colorado tornadoes are predominantly weak, rarely above (E)F1 intensity, and with a maximum just east of the northern urban corridor. Severe hail has a maximum along the foothills and shows a trend toward a larger ratio of significant (≥2.0 in.; ≥50.8 mm) hail to severe hail reports over time. Both tornadoes and severe hail have trended toward shorter seasons since 1997, mostly attributable to an earlier end to the season. By assessing current and historical trends from a more localized perspective, small-scale climatological features and local societal impacts are exposed—features that national climatologies can miss.

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Colorado Lightning Climatology

Cited by 4 publications

References 32 publications

Development of GIS-based Ground Flash Density and its Statistical Analysis for Lightning Performance Evaluation of Transmission Lines in Peninsular Malaysia

Development of GIS-based Ground Flash Density and its Statistical Analysis for Lightning Performance Evaluation of Transmission Lines in Peninsular Malaysia

Spatial-statistical analysis of lightning events in Iran

An Updated Severe Hail and Tornado Climatology for Eastern Colorado

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