Journal article

Daily wind gust speed probabilities over Switzerland according to three types of synoptic circulation

    18.04.2002
Published in:
  • International Journal of Climatology. - 2002, vol. 22, no. 4, p. 485-499
English The nowcasting and prediction of strong winds are still far from adequate, using either statistical or numerical modelling approaches. During the last decade, Switzerland has been struck by two extratropical storms, namely the February 1990 storm Vivian, and the December 1999 storm Lothar, that caused severe damage to infrastructure and to forests. Although numerical weather prediction models captured in both cases the cyclone tracks on the synoptic scale, the severity of local gusts was not properly predicted over the Swiss territory. To help predicting such phenomena, a combined approach to diagnose the wind gust speeds over Switzerland is described. The diagnostics aim at computing the probability of exceeding a gust speed based on the mean wind in relation to the prevailing synoptic weather type for a limited number of groups of climatological stations distributed throughout Switzerland. Based on 10 years of Swiss station observations, the computation of this probability uses an empirical gust factor that is a function of the daily gust speed, itself a function of the daily mean wind speed. For this period, each day has been categorized into three weather types according to the Schüepp classification. Principal component analysis and cluster analysis are performed in order to group climatological stations having similar characteristics in daily wind gust velocities. The results show that the gust factor provides an accurate method to compute the daily wind gust speeds at each Swiss climatological station for the given period. When combined with the three weather types and group of stations, the proposed diagnostics are an efficient method to predict the distribution of wind gust speeds. The gusts associated with the Vivian and Lothar storms are then diagnosed for each specific group where more than 85% of the stations responded similarly to their specific group members, which is highly satisfactory in this case.
Faculty
Faculté des sciences et de médecine
Department
Département de Géosciences
Language
  • English
Classification
Geography
License
License undefined
Identifiers
Persistent URL
https://folia.unifr.ch/unifr/documents/299763
Statistics

Document views: 33 File downloads:
  • 2_beniston_dwg.pdf: 62