The synoptic setting of thunderstorms in western Europe

Delden, Aarnout van

doi:10.1016/s0169-8095(00)00092-2

Cited by 101 publications

(77 citation statements)

References 11 publications

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“…Small erosivity values occur in the western and eastern parts of Switzerland, which is mainly due to a very low annual precipitation in combination with a high proportion of snowfall (identified by the temperature controlled snowfall threshold). The observed Rfactor pattern corresponds well to the distribution of thunderstorms in Central Europe (van Delden, 2001). The frequency of thunderstorms is reported to be high in the Jura Mountains, the Swiss plateau and the Po valley at the foot of the Alps.…”

Section: Rainfall Erosivity Map Of Switzerlandsupporting

confidence: 74%

“…The frequency of thunderstorms is reported to be high in the Jura Mountains, the Swiss plateau and the Po valley at the foot of the Alps. The latter is due to the source of warm moist air of the Mediterranean sea in combination with orographic uplift especially in the late summer season (van Delden, 2001). A relative minimum of thunderstorm frequency is reported for inner Alpine valleys (van Delden, 2001).…”

Section: Rainfall Erosivity Map Of Switzerlandmentioning

confidence: 96%

“…In addition, profound land use changes occur predominantly in the susceptible mountainous areas (Tasser and Tappeiner, 2002;Mottet et al, 2006;Meusburger and Alewell, 2008). Rainfall is one of the main drivers of soil erosion by water.…”

Section: Introductionmentioning

confidence: 99%

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Spatial and temporal variability of rainfall erosivity factor for Switzerland

Meusburger

Steel

Panagos

et al. 2012

Hydrol. Earth Syst. Sci.

225

120

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Section: Rainfall Erosivity Map Of Switzerlandsupporting

confidence: 74%

Section: Rainfall Erosivity Map Of Switzerlandmentioning

confidence: 96%

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Spatial and temporal variability of rainfall erosivity factor for Switzerland

Meusburger

Steel

Panagos

et al. 2012

Hydrol. Earth Syst. Sci.

225

120

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“…In addition, the return levels there generally remain very low. The low frequency of summer thunderstorms in these deep valleys is attributed to inadequate moisture flux convergence, and lack of a lifting source (van Delden 2001).…”

Section: Climatologymentioning

confidence: 99%

Automatic threshold and run parameter selection: a climatology for extreme hourly precipitation in Switzerland

Fukutome

Liniger

Süveges

2014

Theor Appl Climatol

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Extreme value analyses of a large number of relatively short time series are in increasing demand in environmental sciences and design. Here, we present an automated procedure for the peaks-over-threshold (POT) approach to extreme value theory and use it to provide a climatology of extreme hourly precipitation in Switzerland. The POT approach fits the generalized Pareto distribution (GPD) to independent exceedances above some high threshold. To guarantee independence, the time series is pruned: exceedances separated by less than a fixed interval called the run parameter are considered a cluster, and all but the cluster maxima are discarded. We propose the automation of an existing graphical method for joint selection of threshold and run parameter. Hourly precipitation is analyzed at 59 stations of the MeteoSwiss observational network over the period 1981-2010. The four seasons are considered separately. When necessary, a simple detrending is applied. Results suggest that unnecessarily large run parameters have adverse effects on the estimation of the GPD parameters. The proposed method yields mean cluster sizes that reflect the seasonal and geographical variation of lag dependence of hourly precipitation. The climatology, as represented by the return level maps and Alpine cross-section, mirror known aspects of the Swiss climate. Unlike for daily precipitation, summer thunderstorm tracks are visible in the seasonal frequency of events, rather than in the amplitude of rare events.

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“…Hudson 1971;Negri and Vonder Haar 1980;Hirt 1982) in the nowcasting range and also for the investigation of thunderstorms and tornadoes (van Delden 2001).…”

Section: Moisture Flux Divergencementioning

confidence: 99%

Nowcasting of a supercell storm with VERA

Schneider

Chimani

Kaufmann

et al. 2008

Meteorol Atmos Phys

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On 13th May 2003, a severe weather event took place in Vienna, located in the eastern part of Austria at the foothills of the Alps. A supercell storm was reported by storm chasers, including a tornado, large hail and flash floods due to heavy precipitation, causing damage to both people and to goods in parts of Vienna downtown, which is a rather rare event in this region. For this reason, the development of the thunderstorm has been analysed from the synoptic scale down to the storm scale using different data sources, including, e.g. ground measurements, radio soundings and remote sensing data, for a better understanding of the onset and evolution of such a severe weather event. Furthermore, VERA (Vienna Enhanced Resolution Analysis), a real-time analysis system for surface data, was tested on this case study. Measurements which were available during the event have been used to reanalyse the pre-storm situation, testing the possibility of nowcasting such a storm.

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The synoptic setting of thunderstorms in western Europe

Cited by 101 publications

References 11 publications

Spatial and temporal variability of rainfall erosivity factor for Switzerland

Spatial and temporal variability of rainfall erosivity factor for Switzerland

Automatic threshold and run parameter selection: a climatology for extreme hourly precipitation in Switzerland

Nowcasting of a supercell storm with VERA

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