Improvements on Lightning Density Estimation Based on Analysis of Lightning Location System Performance Parameters: Brazilian Case

Bourscheidt, Vandoir; Pinto, O.; Naccarato, Kleber P.

doi:10.1109/tgrs.2013.2253109

Cited by 20 publications

(6 citation statements)

References 21 publications

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“…Schulz et al 2005;Feudale et al 2013;Poelman et al 2016). Bourscheidt et al (2014); Kingfield et al (2017); Simon et al (2017) demonstrated how the cell-count method is unsuitable for smaller cell sizes corroborating the theoretical considerations in Diendorfer (2008), who used the Poisson distribution to derive the minimum number of flashes in a cell required for reaching a specified accuracy. The Poisson distribution is the limiting case of the binomial distribution, which describes the binary event of the occurrence of lightning (yes/no).…”

Section: Discussionsupporting

confidence: 65%

“…2a, on the other hand, produced with the generalized additive model (GAM) method, is devoid of noise and yet provides intricate spatial details for any given day in the lightning season (of which the map shows five). Similarly spatially detailed climatological maps can be achieved using a bivariate Gaussian error distribution for each lightning discharge instead of a precise location (Bourscheidt et al 2014;Kingfield et al 2017). The advantage of the GAM method is its ability to harness regional, elevational and seasonal characteristics that cells share that need not be immediately "next" to another and thus make a high combined spatio-temporal resolution possible.…”

Section: Discussionmentioning

confidence: 99%

“…Two promising approaches have been used to achieve spatial cell sizes of 1 km 2 and temporal sizes of 1 month or shorter. The first one (Bourscheidt et al 2014;Kingfield et al 2017) uses the location uncertainty instead of the precise locations of flashes, which amounts to performing a kernel density estimation around the location of lightning discharge with an assumed independence between the discharges. The second one (Simon et al 2017) exploits the similarity in seasonal, regional and altitudinal characteristics between cells using the statistical method of generalized additive models to achieve even smaller cell sizes of 1 km 2 times 1 day and additionally extract the functional dependence of lightning on these underlying characteristics.…”

Section: Introductionmentioning

confidence: 99%

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Daily-Resolved Lightning Climatology of the Eastern Alpine Region at the Kilometer Scale

Simon,

Mayr

2022

Preprint

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Lightning flashes are rare albeit hazardous events. Despite this scarcity, generalized additive models (GAMs) succeed in producing a climatology of lightning occurrence for the eastern Alps and surrounding lowlands at an unprecedented resolution of 1 km 2 for each day of April through September with data from the ALDIS lightning location system. The GAM adds the effects of seasonality, jaggedness of the terrain, and seasonally varying effects of elevation and region, thus combining information from analysis cells sharing similar characteristics. The probability of a cloud-to-ground discharge over 1 km 2 on a given day is typically less than 1 % with a rapid increase in spring, followed by a plateau and a gentler tapering-off in fall. Probabilities early are lower at high elevations but increase once their snow cover is gone. Regional patterns of lightning also vary with season with an overall southward shift later in the year but more complex details. Grid cells with jagged topography have a higher probability of lightning.

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Section: Discussionsupporting

confidence: 65%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Daily-Resolved Lightning Climatology of the Eastern Alpine Region at the Kilometer Scale

Simon,

Mayr

2022

Preprint

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“…Sixteen years of data were considered, corresponding to the austral summer period from 1999 to 2014, of which the 1999–2010 data are from the RINDAT network and the data from 2011–2014 are from the BrasilDAT network. For the study period, RINDAT showed detection efficiency above 80% and BrazilDAT above 90% (Naccarato and Pinto, ; Bourscheidt et al ., ). These values indicate that both networks had full conditions to use their data.…”

Section: Methodsmentioning

confidence: 97%

Climatic diagnostics associated with anomalous lightning incidence during the summer 2012/2013 in Southeast Brazil

Santos

Coelho

Júnior

et al. 2017

Intl Journal of Climatology

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The State of São Paulo in Southeast Brazil experienced during the 2012/2013 summer one of the most severe electrical storm events in recent years, causing various impacts to society, e.g. fires and fatalities. Thus, the objective of this work is to understand which mechanisms and climatic variability modes are associated with the lightning incidence during this summer in this region. The study includes a statistical-temporal assessment of cloud-to-ground (CG) lightning occurrence comprising the 16 years period from 1999 to 2014. The results showed that, for this period of analysis, the lightning incidence was associated with climatic patterns connecting the tropical and extratropical region, through a wave train, from the Indian Ocean to South America, favouring the formation and development of convective storms over Southeast Brazil.

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“…1 km) grid or derived directly from the LLS data using a kernel density estimator. Usually, when the location error of each CG lightning strike observed by LLS is given, the probabilistic computational methods based on confidence ellipse are recommendable for deriving CG strike densities in high spatial resolution (Bourscheidt et al 2014;Etherington and Perry 2017). However, the ADTD doesn't provide the location error of single CG lightning strike.…”

Section: Cg Strike Density Correctionmentioning

confidence: 99%

Lightning risk assessment at high spatial resolution at the residential sub-district scale: a case study in the Beijing metropolitan area

Zhang

2017

Geomatics, Natural Hazards and Risk

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Lightning risk indexes identifying the potential number of dangerous lightning events (NDLE) and ground sensitivity to lightning in residential subdistricts in the Beijing metropolitan area have been estimated on a 5 m resolution grid for the first time. The gridded cloud-to-ground (CG) lightning strike density was used in the NDLE calculation, on account of the multiple contacts formed by CG events with multiple lightning flashes. Meanwhile, in the NDLE estimates, the critical CG strike densities derived from the lightning location system data were corrected for network detection efficiency (DE). The case study for a residential sub-district indicates that the site-specific sensitivity to lightning, which is determined by the terrain factors related to lightning attachment and the lightning rod effects induced by nearby structures, differs greatly among types of underlying ground areas. The discrepancy in the NDLE, which is the numerical product of sensitivity and CG strike density, is dominated by the sensitivity to the relatively stationary CG strike density at the residential sub-district scale. Conclusively, the visualization of lightning risk sensitivity and NDLE differences in parts of a residential sub-district at a high spatial resolution makes this model useful in risk reduction and risk control for lightning risk management. KEYWORDS Lightning risk; CG flash density; lightning detection efficiency CONTACT HaiBo Hu hbhu@ium.cn

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Improvements on Lightning Density Estimation Based on Analysis of Lightning Location System Performance Parameters: Brazilian Case

Cited by 20 publications

References 21 publications

Daily-Resolved Lightning Climatology of the Eastern Alpine Region at the Kilometer Scale

Daily-Resolved Lightning Climatology of the Eastern Alpine Region at the Kilometer Scale

Climatic diagnostics associated with anomalous lightning incidence during the summer 2012/2013 in Southeast Brazil

Lightning risk assessment at high spatial resolution at the residential sub-district scale: a case study in the Beijing metropolitan area

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