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Development of a wind gust model to estimate gust speeds and their return periods Cover

Development of a wind gust model to estimate gust speeds and their return periods

Open Access
|Dec 2014

Figures & Tables

Fig. 1

Area of investigation and location of test sites. Triangles indicate mountain sites, diamonds indicate valley sites. Detailed information on test sites are presented in Supplementary file.

Fig. 2

Linear relationship of the distribution parameters In a and b for (a) wind speed and (b) gust speed based on hourly measurements. Mountain sites (green) and valley sites (cyan) are highlighted.

Table 1. Regression parameters of the relationship between distribution parameters In a and b for wind and gust speed dependent on the wind sector

NorthEastSouthWest



WindGustWindGustWindGustWindGustRel. freq.17%20%27%36%




Correlation−0.79−0.80−0.88−0.91−0.75−0.79−0.90−0.93Slope−0.30−0.25−0.34−0.28−0.28−0.24−0.33−0.27Offset1.101.101.031.031.121.090.820.84
Fig. 3

Validation of the original against estimated distribution parameters for (a) scale parameter and (b) shape parameter. The original distribution parameters are based on the maximum-likelihood estimation (MLE) of the original dataset of gust measurements. The estimations are derived by the wind gust model using measurements of wind speed. Mountain sites are highlighted in green, valley sites in cyan.

Table 2. Validation of distribution parameters In a and b of measurements versus estimations dependent on the wind sector

NorthEastSouthWest
ScaleCorrelation0.970.980.980.98Slope1.0011.0010.9990.999Offset0.0040.0020.000−0.002RMSE0.200.180.180.16ShapeCorrelation0.710.870.750.91Slope0.5990.8020.7030.948Offset0.7980.4200.6160.106RMSE0.160.140.160.10
Fig. 4

RMSE of estimated gusts compared to measured gusts for the test sites.

Fig. 5

Gumbel-plot for (a) measurements and (b) estimates and maximum return periods of locally strongest gusts identified in the dataset of (c) measurements and (d) estimations. The blue dots in the Gumbel plots (a, b) indicate ΔX n for independent extreme events based on all wind sectors, the red line shows the theoretical distribution, while the cyan lines show the 95% of the confidence intervals of ΔX n estimation. The blue dots in (c) and (d) indicate the return periods and their 95% confidence intervals for all wind sectors, while for red dots only the west sector was taken into account.

Fig. 6

Locations of occurrences of extreme gusts (maximum ΔX n ) for all directions for (a) measurements and (b) estimations from wind speeds. The white boxes mark the three main aggregations of extreme events shown in Fig. 5c. The blue box indicates the position of the two Foehn gusts.

Fig. 7

Average return periods of extreme events in chronological order for (a) measurements and (b) estimations from wind speeds. Blue dots indicate the data basis of all directions, while red dots are based on the west sector only. Detailed estimates are presented in Table 3.

Table 3. Median return periods (Med. rp) of large-scale extreme events based on measurements and estimated gust values for all wind sectors. Events identified only from estimated gusts are marked with asterisks.

Event namesDateMed. rp meas. (years)Range meas. (years)Med. rp est. (years)Range est. (years)
Anna26.02.20024.173.59–5.194.373.55–5.81Jennifer28.01.20025.074.06–6.884.833.90–6.47Lydia31.01.20022.471.79–3.623.242.12–7.55Jeanett27.10.200212.059.93–15.7416.2812.58–22.50Calvann02.01.20034.343.18–6.234.313.14–6.14Fritz14.12.20033.192.47–5.022.962.11–4.74Gerda12.01.20045.233.90–8.986.415.20–9.72Queenie*01.02.20043.842.99–5.275.053.95–6.74Oralie20.03.20045.684.71–8.065.604.53–7.06Pia18.11.20043.502.74–5.033.732.87–5.62Quimburga*19.11.20042.631.72–4.993.952.31–7.94Erwin08.01.20054.743.82–6.543.993.33–5.38Ulf12.02.20053.222.64–4.503.292.72–4.25Dorian16.12.20054.793.85–6.032.532.22–3.28Gertrud20.05.20063.031.97–5.523.351.72–9.82Karla31.12.20063.902.65–5.493.422.62–4.57Franz*11.01.20074.333.34–6.024.883.85–6.71Kyrill18.01.200716.0912.97–20.9814.0611.56–18.12Annette22.02.20084.163.13–6.793.202.49–4.79Emma01.03.20087.286.04–9.308.286.88–10.56Fee02.03.20083.832.85–5.003.122.53–4.60Xynthia28.02.20104.133.59–5.144.873.99–6.07Joachim*16.12.20113.472.61–5.723.402.64–5.09
Fig. 8

Spatial distribution of ΔX n during the storm Xynthia (28 Feb 2010) for (a) measured and (b) estimated gusts.

Fig. 9

Spatial distribution of ΔX n during the storm Kyrill (18 Jan 2007) for (a) measured and (b) estimated gusts.

Language: English
Page range: 22905 - 22905
Submitted on: Sep 26, 2013
Accepted on: Mar 5, 2014
Published on: Dec 1, 2014
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2014 Larisa S. Seregina, Rabea Haas, Kai Born, Joaquim G. Pinto, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.