Techniques Used to Determine Extreme Wave Heights from the NESS Data Set.

Area of Science:

• Oceanography
• Extreme Value Theory
• Statistical Modeling

Background:

• The North European Storm Study (NESS) dataset provides crucial information for understanding extreme sea states.
• Accurate estimation of extreme wave heights is vital for offshore engineering and maritime safety.

Purpose of the Study:

• To evaluate and compare various extreme value procedures for estimating significant wave height at a specific North Sea grid point.
• To benchmark industry submissions on their methodologies for deriving extreme wave heights.

Main Methods:

• Application of diverse extreme value analysis techniques to NESS data.
• Comparative analysis of five industry group submissions for estimating high return period significant wave heights.
• Benchmarking methodologies against established statistical principles.

Main Results:

• Identified variations in the accuracy and reliability of different extreme value procedures.
• Highlighted common pitfalls and best practices in applying extreme value analysis to oceanographic data.
• Demonstrated the impact of methodological choices on extreme wave height estimations.

Conclusions:

• Extreme value techniques require careful application to avoid misuse in engineering and oceanography.
• The study provides insights into the practical utility and limitations of current extreme value analysis methods.
• Recommendations are made for improving the application of extreme value theory in maritime and offshore contexts.