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Separation of daily maximum wind gust events for wind hazard assessment

Created 17/10/2025

Updated 17/10/2025

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An automatic algorithm for classifying wind gust events has been developed at Geoscience Australia, utilizing 1-minute weather observations from Automatic Weather Stations (AWS). This algorithm employs a comprehensive dataset of wind, temperature, dew point, and pressure measurements within a two-hour timeframe centred on the peak wind gust.  

The classification methodology effectively segregates wind gust events into convective and non-convective categories. Initial development entails a subset of stations, employing visual classification verified by contemporaneous observer reports and weather radar data, to create a robust training dataset. The algorithm, based on the analysis of almost 1000 visually-classified events, demonstrates the capability to classify over 150,000 events in a matter of minutes. 

Utilizing wind gust events from past 20 years via our algorithm, the spatial distribution, diurnal cycle and seasonal variation are investigated across Australia. Moreover, a comparative analysis of spatial and temporal disparities, along with radar characteristics, has been conducted for convective and non-convective gust events. Finally, the extreme values of wind gust events, including the 1% annual exceedance probability wind speed (using the Generalized Pareto Distribution) across Australia is shown in this presentation.   Presented at the 30th Conference of the Australian Meteorological and Oceanographic Society (AMOS) 2024

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Field Value
Title Separation of daily maximum wind gust events for wind hazard assessment
Language eng
Licence Not Specified
Landing Page https://data.gov.au/data/dataset/25ab4fcd-e8b4-445e-9543-3d94ee0fd584
Contact Point
Geoscience Australia Data
clientservices@ga.gov.au
Reference Period 12/03/2024
Geospatial Coverage
Map data © OpenStreetMap contributors
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Data Portal Geoscience Australia

Data Source

This dataset was originally found on Geoscience Australia "Separation of daily maximum wind gust events for wind hazard assessment". Please visit the source to access the original metadata of the dataset:
https://ecat.ga.gov.au/geonetwork/srv/eng/csw/dataset/separation-of-daily-maximum-wind-gust-events-for-wind-hazard-assessment1