Probabilistic Severe Wind Damage to Australian Houses from Tropical Cyclones

Geoscience Australia's probabilistic framework estimates potential wind damage to individual residential houses using the Bureau of Meteorology's tropical cyclone statistical ensemble forecasts. Outputs include probabilities of exceeding damage states and median damage per Statistical Area 1 region. The data is intended to support emergency preparedness and response planning.

Use Cases

• Estimate probability of exceeding specific damage states for residential houses based on ensemble forecasts.
• Calculate median and 95th percentile damage states per Statistical Area 1 (SA1) region.
• Identify local government areas (LGAs) most affected by potential wind damage using histogram outputs.
• Support emergency preparedness decision-making with probabilistic hazard and impact assessments.

Strengths

• Integrates outputs from established open-source tools TCRM and HazImp.
• Provides probabilistic outputs in multiple formats for decision support.
• Leverages official Bureau of Meteorology (BoM) TC statistical ensemble forecasts.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to data_gov_au, focusing on Australia.

Provenance

Source

Geoscience Australia Data

Collection Method

Developed by integrating BoM TC forecasts with the Tropical Cyclone Risk Model (TCRM) and HazImp tool.

Time Range

null

Freshness

Last updated 2026-03 25 16:56:59.065399; freshness should be verified.

Geography

Australia