Streamlining SWIRLnet data acquisition, analysis, storage and dissemination procedures | Natural Hazards Research Australia

Streamlining SWIRLnet data acquisition, analysis, storage and dissemination procedures

Photo: Cyclone Testing Station
Research theme

Situational awareness

Project type

Core research

Project status

In progress

The aim of this project is to automate and streamline the current data acquisition and dissemination procedures enacted within the SWIRLnet program of portable weather stations deployed during tropical cyclones in Queensland. The project will lead to development of an improved interface for end-users to interact with real-time data, a more automated and robust analysis procedure and the incorporation of two further stations into the network.

A Hazardous Webinar was held 27 February 2024 on real-time tropical cyclone data for impact. The webinar covered the deployments of SWIRLnet during Cyclones Jasper and Kirrily. Watch the recording below. 

Research team
hidden text
Dr Matthew Mason
Research leader
hidden text
Dr Korah Parackal
Researcher
hidden text
Dr Saira Viqar
Researcher
Project details

Tropical cyclones, and their associated hazards, are one of Australia’s most costly natural hazards. This is true with regards to property damage and community impact and dislocation. As such, it is important that when cyclones occur, accurate measures of their characteristics are recorded so this information can be used to better prepare buildings, infrastructure, communities, and disaster management organisations for future events and to ensure timely response as events unfold.

The objective of this project is to streamline the data acquisition and dissemination procedures currently enacted during SWIRLnet deployments and to make the data more accessible. Current procedures are overly manual (largely due to limited funding for the development of the network) so are prone to error or delay. The automation of this process will ensure the data capture and dissemination of real-time data during tropical cyclone events is more robust, reliable, and timely.

Participating organisations
The University of Queensland
James Cook University

Related