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Improved treatment of non-stationary conditions and uncertainties in probabilistic models of storm wave climate
A framework is presented for the probabilistic modelling of non-stationary coastal storm event sequences, and is applied to a study site on the East Australian Coast. Storm waves at this site are found to exhibit non-stationarities related to ENSO and seasonality. The impact of ENSO is most prominent for storm wave direction, long term MSL and the rate of storms, while seasonal non-stationarity is more ubiquitous, affecting the latter variables as well as storm wave height, duration, period and surge. The probabilistic framework herein separates the modelling of ENSO and seasonal non-stationarity in the storm wave properties from the modelling of their marginal distributions, using copulas. This separation enables non-stationarities to be straightforwardly modelled in all storm wave variables, irrespective of whether parametric or non-parametric techniques are used to model their marginal distributions. Storm wave direction and steepness are modelled with non-parametric distributions whereas storm wave height, duration and surge are modelled parametrically using extreme-value mixture distributions. The advantage of the mixture distributions, compared with the standard extreme value distribution for peaks-over-threshold data (Generalized Pareto), is that the statistical threshold becomes a model parameter instead of being fixed, and so uncertainties in the threshold can be straightforwardly integrated into the analysis. Uncertainties in the model predictions are quantified using a mixture of parametric percentile bootstrap and Bayesian techniques. Percentile bootstrap confidence intervals are shown to non-conservatively underestimate uncertainties in the extremes (e.g. 1% annual exceedance probability wave heights), both in an idealized setting and in our application. The Bayesian approach is applied to the extreme value models to remedy this shortcoming. The modelling framework is applicable to any site where multivariate storm wave properties and timings are affected by seasonal, climatic and long-term non-stationarities.
This paper is published in Coastal Engineering, see https://doi.org/10.1016/j.coastaleng.2017.06.005
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Identification info
- Date (Creation)
- 2016-07-21T00:00:00
- Date (Publication)
- 2018-04-30T07:03:58
- Date (Revision)
- 2020-03-25T03:59:42
- Citation identifier
- Geoscience Australia Persistent Identifier/https://pid.geoscience.gov.au/dataset/ga/101180
- Citation identifier
- Digital Object Identifier/https://doi.org/10.1016/j.coastaleng.2017.06.005
- Cited responsible party
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Role Organisation / Individual Name Details Author Davies, G.
{authorContactOrder} Author Callaghan, D.
Author Gravois, U.
Author Jiang, W.
Author Hanslow, D.
Author Nichol, S.
Author Baldock, T.
- Purpose
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Paper published in Coastal Engineering
- Status
- Completed
- Point of contact
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Role Organisation / Individual Name Details Point of contact Commonwealth of Australia (Geoscience Australia)
Voice Point of contact Davies, G.
Resource provider Place, Space and Communities Division
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- Geoscientific information
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))
- Maintenance and update frequency
- As needed
- Keywords
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Published_External
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- Keywords
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storm waves
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- Keywords
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natural hazards
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- Keywords
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statistical modelling
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- theme.ANZRC Fields of Research.rdf
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EARTH SCIENCES
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Resource constraints
- Title
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Creative Commons Attribution 4.0 International Licence
- Alternate title
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CC-BY
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4.0
- Access constraints
- License
- Use constraints
- License
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- Title
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Australian Government Security ClassificationSystem
- Edition date
- 2018-11-01T00:00:00
- Classification
- Unclassified
- Language
- English
- Character encoding
- UTF8
Distribution Information
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Role Organisation / Individual Name Details Distributor Commonwealth of Australia (Geoscience Australia)
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- OnLine resource
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Link to the paper
Link to the paper
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Resource lineage
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Written by paper authors
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- Dataset
Metadata constraints
- Title
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Australian Government Security ClassificationSystem
- Edition date
- 2018-11-01T00:00:00
- Classification
- Unclassified
Metadata
- Metadata identifier
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urn:uuid/62f8a1f9-99e5-4f33-a744-b89587b82e81
- Title
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GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
- Contact
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Role Organisation / Individual Name Details Point of contact Commonwealth of Australia (Geoscience Australia)
Voice Point of contact Davies, G.
Type of resource
- Resource scope
- Document
Alternative metadata reference
- Title
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Geoscience Australia - short identifier for metadata record with
uuid
- Citation identifier
- eCatId/101180
- Date info (Creation)
- 2016-07-21T16:38:02
- Date info (Revision)
- 2018-04-10T23:03:33
Metadata standard
- Title
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AU/NZS ISO 19115-1:2014
Metadata standard
- Title
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ISO 19115-1:2014
Metadata standard
- Title
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ISO 19115-3
- Title
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Geoscience Australia Community Metadata Profile of ISO 19115-1:2014
- Edition
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Version 2.0, September 2018
- Citation identifier
- https://pid.geoscience.gov.au/dataset/ga/122551