Authors / CoAuthors
Martin, S. | Moore, D. | Hazelwood, M.
Abstract
This metadata relates to the ANUGA hydrodynamic modelling results for Busselton, south-west Western Australia. The results consist of inundation extent and peak momentum gridded spatial data for each of the ten modelling scenarios. The scenarios are based on Tropical Cyclone (TC) Alby that impacted Western Australia in 1978 and the combination of TC Alby with a track and time shift, sea-level rise and riverine flood scenarios. The inundation extent defines grid cells that were identified as wet within each of the modelling scenarios. The momentum results define the maximum momentum value recorded for each inundated grid cell within each modelling scenario. Refer to the professional opinion (Coastal inundation modelling for Busselton, Western Australia, under current and future climate) for details of the project.
Product Type
model
eCat Id
77499
Contact for the resource
Custodian
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Custodian
Cnr Jerrabomberra Ave and Hindmarsh Dr GPO Box 378
Canberra
ACT
2601
Australia
Keywords
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- Model
- ( Theme )
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- climate
- ( Theme )
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- hazards
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- AU-WA
- Australian and New Zealand Standard Research Classification (ANZSRC)
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- Earth Sciences
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- Published_Internal
Publication Date
2013-01-01T00:00:00
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unknown
Topic Category
geoscientificInformation
Series Information
Lineage
The ANUGA hydrodynamic model (https://anuga.anu.edu.au/) was run based on a Digital Elevation Model (DEM) and inputs from a regional storm surge model (GEMS GCOM2D) The maximum inundation depth and momentum values were identified in ArcGIS post processing. DEM used within ANUGA: Triangular mesh created by/within ANUGA from a regular grid (1 m horizontal resolution). The input grid was based on elevation data with varing accuary: onshore and offshore LiDAR, Navy soundings and 1 second SRTM DEM. The derived triangular mesh consisted of smaller triangles (max 5m^2) around the man-made drainage channels and larger triangles around the remainder of the study region (max 350m^2) Regional storm input: Temporal (i.e. storm characteristics through the simulation time) were extracted from the regional storm modelling (GEMS GCOM2D model) results for point locations along the Busselton-Dunsborough coastline. ANUGA model variables Some key variables set within the Python code were: minimum_storable_height = 0.10m, mannings coefficient of friction = 0.03, 12 minute modelling time steps, 64 CPUs were used (variations were identifed between the results depending on the number of CPUs specified. The 64 CPU results were in the middle of the field (range from 8 to 128 CPUs). Broader detail of the methods applied within this project are within the technical methodology document. Also see the GA Professional Opinion (Coastal inundation modelling for Busselton, Western Australia, under current and future climate)
Parent Information
Extents
[-33.7, -33.6, 115.1, 115.44]
Reference System
Spatial Resolution
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