Authors / CoAuthors
Unknown
Abstract
This use of this data should be carried out with the knowledge of the contained metadata and with reference to the associated report provided by Geoscience Australia with this data (Reforming Planning Processes Trial: Rockhampton 2050). A copy of this report is available from the the Geoscience Australia website (http://www.ga.gov.au/sales) or the Geoscience Australia sales office (sales@ga.gov.au, 1800 800 173). The wind hazard outputs are a series of rasters, one for each average recurrence interval considered, presenting peak wind hazard (peak from all directions) as measure in km/h. This file presents the future climate wind hazard. The file name indicates the hazard being presented, e.g. wspd_rp_1000_max.tif is the 1000 year Return Period (RP - equivalent to Average Reccurrence Interval (ARI)) and is the maximum wind speed from all directions. The local wind multipliers adjust the 3-second gust regional RP wind speed from 10 m above ground level to ground level with the consideration of topography and shielding effects. Eight cardinal directions are calculated for every raster cell and the maximum of these values is then derived and presented here.
Product Type
dataset
eCat Id
77377
Contact for the resource
Custodian
Point of contact
Cnr Jerrabomberra Ave and Hindmarsh Dr GPO Box 378
Canberra
ACT
2601
Australia
Keywords
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- GIS Dataset
- Australian and New Zealand Standard Research Classification (ANZSRC)
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- Earth Sciences
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- Published_Internal
Publication Date
2013-08-21T00:00:00
Creation Date
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Purpose
Maintenance Information
notPlanned
Topic Category
geoscientificInformation
Series Information
Lineage
Below is an extract from the technical report. See the report for figures, tables and the reference list. There were four steps in modelling future climate TC hazard: - Extract TC Like Vortices (TCLVs ) from high-resolution regional climate simulations for 1981 2000, 2046-2065 and 2081-2100 - Use each TCLV dataset as input to the TCRM to evaluate TC wind hazard for that time period - Compare resulting TC wind hazard estimates, identifying areas where the change is significant - Apply relative change in hazard from TCLVs to the observed current climate (historical) hazard. 5000 years were simulated of TC activity based on the input TCLV dataset for each twenty year time period (1981-2000, 2046-2065 and 2081-2100), and then the associated ARI wind fields calculated for each of those simulated years. For each time period the TC severe wind hazard (quantified in ARI wind speeds) and the 90th percentile range of the hazard is evaluated. The 90th percentile range is calculated by fitting an extreme value distribution to a subset of the simulated wind fields many times and calculating the 95th and 5th percentiles of the resulting wind speed values at each ARI. This gives an indication of the possible range of hazard levels arising from a short input dataset. For example, between any two 20-year periods there will be differences in the frequency of TC events. The resulting hazard levels from the two 20-year periods will be different. This process to calculate the 90th percentile range aims to capture the potential variability. Data sources Historical TC tracks were from the Bureau of Meteorology's southern hemisphere best track dataset for the southern hemisphere, from 1981 to 2010 . This represents a quality controlled, homogenised set of TC observations, independently constructed from all available TC warning centres across the world. Future climate TCLV data was obtained as part of the Regional Tropical Cyclone Hazard for Infrastructure Adaptation to Climate Change CSIRO Climate Adaptation Flagship (Lavender et al.,, 2011). These data represent TCLVs extracted from a 15 km horizontal resolution regional climate model (CCAM - McGregor and Dix, 2008) for a number of time periods, where the GCM used for external forcing is the CSIRO Mark 3.5 model forced with the SRES A2 GHG emission scenario (Nakicenovic and Swart, 2000).
Parent Information
Extents
[-23.8424, -22.9405, 149.9427, 150.9882]
Reference System
Spatial Resolution
Service Information
Associations
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