  We study the Floating Offshore Wind Turbine (FOWT) dynamic response to high
wind velocity scenarios utilizing an extensive Markov Chain Monte Carlo
simulation involving 10,000 trials of a reduced model from
\cite{betti_development_2014} with a blade-pitch PID controller. The research
emphasizes analysis of extreme events in surge, pitch and heave of FOWT,
identifying and categorizing them based on their statistics, correlations and
causal relations to wind and waves. A significant discovery is the
differentiation of anomalies into short-correlated and long-correlated types,
with the latter primarily influenced by wind conditions. For example, one of
our findings is that while specific wave conditions may amplify anomalies, wind
remains the predominant factor in long-term anomalous pitch behaviors. We
anticipate that further development of this analysis of the operation's
critical extreme events will be pivotal for advancing control strategies and
design considerations in FOWTs, accommodating the turbulent environment they
encounter.
