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Rockhampton current climate 10 year average recurrence interval wind hazard

Note: This metadata describes the dataset in accordance with the ANZLIC (Australia New Zealand Land Information Council) Core Metadata Guidelines Version 2.

Dataset citation

ANZLIC unique identifier: ANZCW0703016987

Title: Rockhampton current climate 10 year average recurrence interval wind hazard


Custodian: Geoscience Australia

Jurisdiction: Australia



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 ( or the Geoscience Australia sales office (, 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 measured in km/h.

ANZLIC search words:

  • HAZARDS Cyclones Mapping

Spatial domain:

locality map

Geographic extent name: FITZROY (S) - QLD-FITZROY (S) - Local Government Areas (LGA) - Queensland

Geographic extent polygon: 149.9427 -22.9405, 150.9882 -22.9405, 150.9882 -23.8424, 149.9427 -23.8424, 149.9427 -22.9405,

Note: The format for each Geographic extent name is: Name - Identifier - Category - Jurisdiction (as appropriate) See GEN Register

Geographic bounding box:
North bounding latitude: -22.9405 °
South bounding latitude: -23.8424 °
East bounding longitude: 150.9882 °
West bounding longitude: 149.9427 °

Data currency

Beginning date: Not Known

Ending date: Not Known

Dataset status

Progress: Complete

Maintenance and update frequency: Not Known


Stored data format:
DIGITAL - gdb ArcGIS file geodatabase ArcGIS
Available format type:
DIGITAL - gdb ArcGIS file geodatabase ArcGIS

Access constraints:

? Commonwealth of Australia (Geoscience Australia) 2013

With the exception of the Commonwealth Coat of Arms and where otherwise noted, all material

in this publication is provided under a Creative Commons Attribution 3.0 Australia Licence (

Geoscience Australia has tried to make the information in this product as accurate as possible. However, it does not guarantee that the information is totally accurate or complete. Therefore, you should not solely rely on this information when making a commercial decision.

Free Data Download

Data quality


Extracted and summarised from the report below. Review the report for the full text and the figures and references mentioned. The full text is also attached to the data; view via ArcCatalog.

The wind hazard raster data is a product of the combination of regional wind hazard, resulting from the Tropical Cyclone Risk Model (TCRM), and the wind speed multipliers.

The Tropical Cyclone Risk Model

The hazard assessment uses Geoscience Australia?s statistical-parametric TCRM. The TCRM generates a synthetic catalogue of 5000 years of events that are statistically similar to the input dataset, e.g. a set of observed historical storms. TCRM then calculates a parametric wind field around each track to determine the swath of winds from each event in the synthetic catalogue. The resulting wind fields were ranked and an extreme value distribution fitting procedure applied to determine ARI wind speeds.


The Australian Bureau of Meteorology?s best-track dataset, for seasons 1981?2005 (Kuleshov et al., 2008) was used as the input dataset. This is a quality controlled, homogenised catalogue of Tropical Cyclone (TC) observations of date, time, position and intensity (measured as estimated central pressure). This dataset does impart a slight bias, due to the high proportion of El Ni?o events over the 25-year period. Tropical cyclone activity in the eastern Australian region is generally decreased under El Ni?o conditions, and this may result in a slight underestimation of wind hazard (this period was relatively quiescent compared to the entire 20th Century). However the actual value should be within the upper and lower 90% confidence estimates indicated in Figure 12 and Figure 13.

Wind multipliers

The model incorporates the effects of the land surface on the wind through so-called site-exposure multipliers. The site-exposure multipliers combine effects of topography, land cover (e.g. forests, croplands, urban areas and water bodies) and the shielding effects provided by closely-spaced buildings. The wind multipliers are location specific values that convert the regional return wind speed (Figure 14) into local wind speed estimates at building height. The combined wind multiplier raster is developed from the combination of four multiplier rasters:

? the wind direction multiplier (cyclonic winds all directions = 0.95)

? the terrain/height multiplier (land use classification considering surface roughness)

? the shielding multiplier (upwind shielding from buildings)

? the topographic multiplier (hill slope).

When the combined site-exposure multiplier raster is applied to the regional (ARI) wind speed raster, nine rasters were produced: eight cardinal directions and the ninth being a maximum wind speed captured from the other eight. The maximum wind speed raster for each ARI considered has been provided in the results and the wind hazard map sheets.

Positional accuracy:

Checked against other spatial data, such as coastlines, to ensure positional accuracy.

Attribute accuracy:

Checked the raster to ensure the result is logical such as high wind speeds on higher slopes and lower wind speeds on relatively low slope. The raster math was also checked to ensure that the raster is the result of the regional return period wind hazard raster multiplied by the M4 wind multiplier raster.

Logical Consistency:

Not applicable.


Complete for the study region.

Contact information

Contact organisation: Commonwealth of Australia (Geoscience Australia) (GA)
Contact position: Manager Client Services
Mail address: Cnr Jerrabomberra Ave and Hindmarsh Dr
Mail address: GPO Box 378
Locality: Canberra
State: ACT
Country: Australia
Postcode: 2601
Telephone: 02 6249 9966
Facsimile: 02 6249 9960
Electronic mail address:

Metadata information

Metadata date: 2013-05-28

Additional metadata

Metadata reference XHTML:

Metadata reference XML:


Authors:Arthur, C. Yang.T Dunsmore, R. Moore, D.