Extreme Ocean Storm Statistics for Australian Coast

Statistical models analyze extreme storm events on Australia's eastern and southern coast, focusing on storm clustering. The analysis uses a 30-year time series of observations, applying a peaks-over-threshold approach with a 2.93-meter wave height threshold. Models include non-homogeneous Poisson processes and copula functions for joint distribution of storm variables.

Use Cases

• Model the frequency and spacing of storm events using non-homogeneous Poisson processes to examine anti-clustering patterns.
• Fit a Generalised Pareto distribution to the maximum significant wave height (Hsig) variable for extreme value analysis.
• Construct a joint cumulative distribution function for storm magnitude statistics using t-copula functions.
• Analyze the relationship between storm duration and tidal residual variables using fitted Pearson type 3 distributions.
• Examine sub-annual variations in storm occurrence rates and temporal dependency between successive events.

Strengths

• Based on a 30-year time series of observational data for robust temporal analysis.
• Employs a defined 2.93-meter (95% exceedance quantile) threshold for consistent storm event extraction.
• Uses advanced statistical techniques including copula functions and non-homogeneous Poisson process models.

Limitations

• Dataset size, row count, and specific column structure are not provided in the input.
• Primary data formats are HTML and PDF, which may require extraction for computational analysis.
• Analysis is preliminary and focused on a specific study site in central New South Wales, limiting geographic generalizability.

Provenance

Source

Geoscience Australia Data

Collection Method

Storm events extracted from observational time series using a peaks-over-threshold approach, manually checked against sea-level pressure data.

Time Range

30-year observational time series

Freshness

null

Geography

Eastern and southern coast of Australia, with a study site on the central coast of New South Wales