2016
DOI: 10.1016/j.atmosres.2015.08.003
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Relationship between human observations of thunderstorms and the PERUN lightning detection network in Poland

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Cited by 39 publications
(45 citation statements)
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References 49 publications
(46 reference statements)
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“…Specifically, the maximum between Black Forest and Swabian Jura has been explained in previous studies with flux convergences and gravity waves forming downstream of the Black Forest in conjunction with moist air advection from the upper Rhine Valley (Kunz and Puskeiler, 2010;Puskeiler et al, 2016). Relatively high values along the German-Polish border peaking in the Ore Mountains can be interpreted as an extension of the High Tatras lightning maximum found by Czernecki et al (2016). Our results obtained for France largely conform with the findings of others, for example Lassègues et al (2003).…”
Section: Spatial Distribution Of Convective Activitysupporting
confidence: 81%
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“…Specifically, the maximum between Black Forest and Swabian Jura has been explained in previous studies with flux convergences and gravity waves forming downstream of the Black Forest in conjunction with moist air advection from the upper Rhine Valley (Kunz and Puskeiler, 2010;Puskeiler et al, 2016). Relatively high values along the German-Polish border peaking in the Ore Mountains can be interpreted as an extension of the High Tatras lightning maximum found by Czernecki et al (2016). Our results obtained for France largely conform with the findings of others, for example Lassègues et al (2003).…”
Section: Spatial Distribution Of Convective Activitysupporting
confidence: 81%
“…Whereas first lightning climatologies were deduced from SYNOP records (e.g., Wakonigg, 1978;Cehak, 1980;Pelz, 1984;Cacciamani et al, 1995), the recently developed electromagnetic sensor networks allow for spatially homogeneous analyses, such as the early study performed by Finke and Hauf (1996) with respect to southern Germany. Several papers focusing on different European regions found various distinct regional and local structures of lightning probability or density (e.g., Schulz et al, 2005;Coquillat et al, 2013;Wapler, 2013;Czernecki et al, 2016). Besides spatial features, the temporal variability on diurnal and annual timescales also shows several peculiarities across the respective investigation areas (e.g., Soriano et al, 2005;Antonescu and Burcea, 2010;Gladich et al, 2011;Santos et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Whereas first lightning climatologies were deduced from SYNOP records (e.g., Wakonigg, 1978;Cehak, 1980;Pelz, 1984;Cacciamani et al, 1995), the recently developed electromagnetic sensor networks allow for spatially homogeneous analyses, such as the early study performed by Finke and Hauf (1996) with respect to southern Germany. Several papers focusing on different European regions found various distinct regional and local structures of lightning probability or density (e.g., Schulz et al, 2005;Coquillat et al, 2013;Wapler, 2013;Czernecki et al, 2016). Besides spatial features, the temporal variability on diurnal and annual timescales also shows several peculiarities across the respective investigation areas (e.g., Soriano et al, 2005;Antonescu and Burcea, 2010;Gladich et al, 2011;Santos et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…These small-scale weather phenomena include hail, lightning, damaging straight-line winds, tornadoes and heavy rainfall leading to flooding [1]- [5]. Severe weather associated with thunderstorms has been observed in every country in Europe and poses a significant threat to life, property and economy.…”
Section: Introductionmentioning
confidence: 99%
“…Due to rapid advances in technology during the past couple of decades, a great proportion of the carried out research has focused on the use of archived remote sensing observations -such as lightning detector data [5], [14]- [16], Doppler radar measurements [17] and meteorological satellite observations [18] -for the analysis of convective phenomena. Several studies have looked at lightning characteristics during particular thunderstorm events [19], suggesting that lightning intensity can be used as a tool for the assessment of thunderstorm severity [20].…”
Section: Introductionmentioning
confidence: 99%