Machine Learning for Modelling Cyclones

JBPacific is partnering with Griffith University WIL program to develop statistical methods for estimating the size of tropical cyclones. Tropical cyclones are a frequent hazard along the Australian coastline, bringing intense winds, waves, and storm surge to coastal communities. The ability to predict cyclone size and intensity is crucial to determining hazards from waves, erosion and inundation. JBPacific’s coastal engineers are using numerical models to simulate extreme cyclonic events and estimate potential hazards One of the key parameters in accurately modelling a tropical cyclone system is its absolute size, or extent of influence, often associated with the “radius to outermost closed

Big Datasets and Coastal Engineering

In today’s blog, I want to share my recent experience about big data and its application in the coastal engineering field. JBPacific is working on a range of coastal and flood projects throughout Australia and the Indo-pacific region. Whilst each project has a different focus, e.g. hazard mapping vs options analysis, they all require the processing of a growing amount of data. This step is often missed in the stereotypical engineering profile, which pictures an engineer getting straight into the design phase of a project, but the reality is that these designs cannot happen without the help of big datasets. This month I have been working on a coastal hazard assessment in Cape York, Australi

Ensuring accuracy throughout all components of a flood forecasting system

This week our team has been looking into the Sendai Framework for Disaster Risk Reduction. This is an international framework that spans fifteen years between 2015-2030 and presents a roadmap to allow communities to become safer and more resilient to natural disasters. It was adopted in 2015 by members of the United Nations, including Australia. It is of relevance to our work in natural disasters due to the growing emphasis on early warning systems and emergency management. Whilst the traditional management approach to extreme weather has included hard defences and infrastructure, there is now recognition that earlier warnings can play a significant role in disaster management. It is a

A How-to-guide for Multi-Hazard Early Warning Systems

The United Nations Environment Programme estimates that if average global temperatures rise to 2°C, developing countries will be the hardest hit – with damages between $70 billion to $100 billion every year until 2050 (Neufeldt 2018). These damages are largely due to increased exposure to natural hazards, causing substantial risk to communities, ongoing contamination of water sources, exposure to diseases, and lack of water supply long after the weather system has passed. Cyclonic winds can damage housing and infrastructure, floods and tidal surges inundate tube-wells and contaminate water supplies, and saturated soils can collapse low lying latrines. The results can range from displaced hou

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