Project Highlight

resolution within 1-10 metres, and another model that will predict dispersion at a lower resolution but using substantially faster techniques. This work will progress current technologies in plume modelling methods, neural networks, and upscaling approaches.

The proposed modelling suite is named Guwara, which means ‘high wind’ in the language of the Dharug and Iyora Peoples of the Sydney and surrounding regions.

As well as advancing key modelling technologies, the project team is establishing a sovereign focal point for expertise in physics-based fast computation for atmospheric models, with the team organising multiple workshops over the past reporting year, bringing together both national and world experts in atmospheric detection. The DMTC project complements research commissioned by DSTG under an international cooperative agreement between Australia and the Republic of Korea.

Defence uses hazard-prediction models to estimate the effects of CBR releases and provide time-critical information to inform and support effective planning and response activities. If successful, this project will lead to significant improvements in hazard-prediction models, more accurately characterising the spread of a potential hazard in an urban environment in near real-time. These models are essential to supporting sovereign preparedness, planning and response to CBR threats for both Defence and civilian personnel.