A novel method for prediction of extreme wind speeds across parts of Southern Norway

The paper describes a novel structural reliability method, particularly suitable for multi-dimensional environmental systems, either measured or numerically simulated over a sufficient period, resulting in sufficiently long ergodic time series. This study illustrates the efficiency of the proposed methodology by applying it to predict extreme wind speeds of a group of selected measured sites in Southern Norway in the region near the Landvik wind station. It is well known that wind speeds at different locations are highly non-linear, multi-dimensional and cross-correlated dynamic environmental responses, which can be challenging to analyse accurately. Unlike other environmental reliability methods, the new method does not require restarting the simulation each time the system fails, e.g., in the case of numerical simulation. In the case of measured environmental system response, an accurate prediction of system failure probability is also possible, as illustrated in this study. Moreover, in contrast to classical reliability methods, the proposed method can handle systems with high dimensionality and cross-correlation between the different dimensions.

Automated summary

This paper presents a novel structural reliability method for analyzing extreme event risks in multi-dimensional environmental systems. By applying this method to selected measurement sites in Southern Norway, the study demonstrates its effectiveness and compares it with traditional methods. The proposed method can handle high-dimensional systems with cross-correlations and accurately predict system failure probabilities.