Product catalogue
Probabilistic modelling of storm wave clustering at Old Bar, NSW, including the impacts of seasonal and ENSO cycles.
In the last century coastal erosion has caused significant damage to property and infrastructure in NSW. Extreme erosion can be caused by individual extreme storms, or by multi-storm 'clusters' which induce disproportionate erosion by limiting the time for inter-storm shoreline recovery. Statistical changes in storm wave properties also occur in association with seasonal and ENSO (El-Nino Southern Oscillation) cycles, and a number of studies suggest the latter affects the mean shoreline position and likelihood of extreme erosion in NSW.
Quantification of site-specific erosion hazards is necessary to support coastal management, with probabilistic or risk-based approaches being particularly attractive because they avoid reliance on arbitrarily chosen 'design' events. Callaghan et al. (2008) developed a methodology for probabilistic erosion hazard assessment on sandy shorelines, combining a probabilistic model of storm waves with a deterministic shoreline evolution model. The probability of the shoreline eroding past a given position (over a given timeframe) may be quantified, and epistemic uncertainties associated with e.g., our limited knowledge of the frequency of very large storms, are accounted for with bootstrapping.
Herein we develop a probabilistic model of the storm wave climate at Old Bar, NSW, for use in a coastal erosion hazard assessment. A novel aspect of the model is that it accounts for the impacts of ENSO and seasonality on the storm wave properties, and the frequency of storm events. We establish relationships between ENSO, seasonality, and storm waves in the area using 30 years of wave observations, and extend the statistical framework of Callaghan et al. (2008) to account for these factors.
This study is a key component of the Bushfire and Natural Hazards CRC Project "Resilience to clustered disaster events on the coast ¿ storm surge".
References:
Callaghan et al., (2008) Statistical Simulation of wave climate and extreme beach erosion. Coastal Engineering 2008, 55, 375-390.
Simple
Identification info
- Date (Creation)
- 2015-09-17T00:00:00
- Date (Publication)
- 2016-01-31
- Citation identifier
- Geoscience Australia Persistent Identifier/https://pid.geoscience.gov.au/dataset/ga/100289
- Cited responsible party
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Role Organisation / Individual Name Details Author Davies, G.
Author Callaghan, D.
Author Gravois, U.
Author Hanslow, D.
Author Jiang, W.
Author Nichol, S.
Author Baldock, T.
- Purpose
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Abstract for NSW coastal conference
- 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.
Spatial Division Internal Contact
- Spatial representation type
- Topic category
-
- Geoscientific information
Extent
Temporal extent
- Time period
- 2016-05-16T13:00:00 2016-05-16T14:00:00
Extent
))
- Maintenance and update frequency
- As needed
Resource format
- Title
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Product data repository: Various Formats
- Website
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Data Store directory containing the digital product files
Data Store directory containing one or more files, possibly in a variety of formats, accessible to Geoscience Australia staff only for internal purposes
- Keywords
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Published_External
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- theme.ANZRC Fields of Research.rdf
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EARTH SCIENCES
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- Theme
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storm wave clustering
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- Theme
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modelling
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Resource constraints
- Title
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Creative Commons Attribution 4.0 International Licence
- Alternate title
-
CC-BY
- Edition
-
4.0
- Access constraints
- License
- Use constraints
- License
Resource constraints
- Title
-
Australian Government Security ClassificationSystem
- Edition date
- 2018-11-01T00:00:00
- Classification
- Unclassified
- Language
- English
- Character encoding
- UTF8
Distribution Information
- Distributor contact
-
Role Organisation / Individual Name Details Distributor Commonwealth of Australia (Geoscience Australia)
Voice
- OnLine resource
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Download the article (pdf) [1.6 MB]
Download the article (pdf) [1.6 MB]
- Distribution format
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pdf
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- OnLine resource
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Link to article (pdf)
Link to article (pdf)
- Distribution format
-
-
pdf
-
Resource lineage
- Statement
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Drafted by GD and edited by other authors
- Hierarchy level
- Dataset
Metadata constraints
- Title
-
Australian Government Security ClassificationSystem
- Edition date
- 2018-11-01T00:00:00
- Classification
- Unclassified
Metadata
- Metadata identifier
-
urn:uuid/c31b44fd-a3aa-42ac-b414-3c67713f4dab
- Title
-
GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
- Contact
-
Role Organisation / Individual Name Details Point of contact Commonwealth of Australia (Geoscience Australia)
Voice Point of contact Davies, G.
Spatial Division Internal Contact
Type of resource
- Resource scope
- Document
- Name
-
Article
Alternative metadata reference
- Title
-
Geoscience Australia - short identifier for metadata record with
uuid
- Citation identifier
- eCatId/100289
- Date info (Creation)
- 2016-05-16T17:14:52
- Date info (Revision)
- 2018-04-11T00:48:34
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