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Rockhampton current climate 100 year Average Recurrence Interval bushfire 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: ANZCW0703016955

Title: Rockhampton current climate 100 year Average Recurrence Interval bushfire 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).

This spatial data presents the current climate bushfire hazard for the 100 year Average Recurrence Interval (ARI - equivalent to Return Period (RP)). The grid values are Forest Fire Danger Index values which can be categoriesed into the FFDI categories.

ANZLIC search words:

  • HAZARDS Fire Planning

Spatial domain:

locality map

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

Geographic extent polygon: 150.0851 -22.9778, 150.9522 -22.9778, 150.9522 -23.6074, 150.0851 -23.6074, 150.0851 -22.9778,

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

Geographic bounding box:
North bounding latitude: -22.9778 °
South bounding latitude: -23.6074 °
East bounding longitude: 150.9522 °
West bounding longitude: 150.0851 °

Data currency

Beginning date: Not Known

Ending date: Not Known

Dataset status

Progress: Complete

Maintenance and update frequency: Not Known


Stored data format:
DIGITAL - tif Tagged Image File Format (TIFF) - including GeoTIFF Map Grid of Australia (MGA) GDA94
Available format type:
DIGITAL - tif Tagged Image File Format (TIFF) - including GeoTIFF

Access constraints:

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. Source data varies in resolution: 25m resolution vegetation and elevation data and 270m resolution weather modelling outputs.

? 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 (

Free Data Download

Data quality


See the report or view more extensive metadata, within ArcCatalog, attached with the data.

Augmented extract from the report: To assess the bushfire hazard across the Rockhampton landscape, the observational weather record at

Analysis of the observation record at Rockhampton Airport (1 January 1973 ? 30 June 2011) determined the worst 20 weather fire days, based on FFDI calculated from daily observations and assuming a constant drought factor. Bushfires had occurred in the Rockhampton region on some of these days. From these 20 days, 6 were chosen (05/11/1994, 06/11/1994, 07/11/1994, 14/10/2009, 15/10/2009, and 16/10/2009) for high-resolution simulation using the Weather Research & Forecasting (WRF) model at 270 m resolution over the Rockhampton study region.

The WRF model simulated the weather conditions across the Rockhampton region from the Rockhampton Airport observations and a range of far-field observations. Boundary conditions for the WRF model were supplied from the US National Center for Environmental Prediction (NCEP) operational analyses available at .

The numerical weather model was run on a smaller area than the Rockhampton study region to ascertain the appropriateness, accuracy and timeliness of the numerical weather prediction model.

Model output at the grid-point corresponding to the location of Rockhampton Airport and Yeppoon were compared to the observations for the corresponding dates, to estimate the magnitude and direction of bias in the simulations. Comparison of quantiles of simulated and observed temperature, relative humidity and 10 m height wind speed revealed a reasonable match between the modelled and observed values of the first two elements, but wind speed was significantly underestimated in the simulations. A simple correction factor was applied to improve the quality of the match between the observed and simulated 10 m height wind speeds. From the temperature, relative humidity and wind speeds generated by the simulations (and corrected where appropriate), the maximum FFDI for each simulated day is calculated, again using a constant drought factor. Each of these FFDI maps were then normalised to the value of the FFDI at the grid point corresponding to Rockhampton Airport.

The final output is an average of the six days of FFDI ratio maps, providing a map of the spatial distribution of FFDI for extreme fire weather days. The ARI of FFDI at Rockhampton Airport was calculated from observations (Lucas 2010). For ARIs greater than the length of the record (39 years) the observations of FFDI were fitted with a Generalised Extreme Value (GEV) distribution (Generalised Pareto Distribution) permitting the calculation of ARI hazard outside the range of the dataset (Figure 34).

The observed (Rockhampton Airport) ARI FFDI values (50, 100 years) were then combined with the FFDI ratio maps generated from the weather simulations discussed previously to provide spatial representation of the FFDI ARI hazard across the Rockhampton study region.

FFDI, being a forest index, was weighted for other vegetation types. The weighting is calculated based on the vegetation type created by: ? Sourcing a multispectral image (Landsat 5 TM satellite, 25 m resolution, captured during May-August 2011) ? Classifying and merging the vegetation layers into: Closed Forest (weighting 1.0), Open Forest (weighting 0.8), Grassland (weighting 0.7), and None (weighting 0.0).

This Bushfire Hazard Map does not supply details of where the ?bushfire hazard? can be minimised to allow for future development. To address this two factors were added, setback from closed forest and slope, to generate the final Bushfire Hazard Map as follows: the closed forest areas were extended to include a 100 m buffer zone (Figure 35), and excluding land with a slope of greater than 20 degrees. Note that most of these areas occur in the closed forest and setback areas.

Positional accuracy:

Checked against other spatial data, such as coastlines, with no issues identified

Attribute accuracy:

The western extent of the bushfire hazard data has been identified as an area of lesser confidence as the weather simulation model has been identified as propagating a gravity wave through the data that is not realistic.

Logical Consistency:

Not applicable.


The numerical weather model (WRF) was run on a smaller area than the Rockhampton study region to ascertain the appropriateness, accuracy and timeliness of the numerical weather prediction model. There was not time to expand the study region following the test of the smaller domain.

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:Moore, D. Hazelwood, M. Cechet, R.P. Arthur, W.C. French, I. Dunsmore, R. Sanabria, A. Yang, T. Woolf, M.