This paper analyses the weather conditions of winter 2017 in Australia and draws conclusions about the subsequent impact of this dry and hot weather on crops and livestock, energy systems and bushfire risk, and the role of climate change in influencing these winter weather conditions.
As extreme weather events intensify due to climate change, it becomes ever more critical to understand how vulnerable households are to these events and the mechanisms households can rely on to minimize losses effectively.
The operational medium-range weather forecasting based on numerical weather prediction (NWP) models are complemented by the forecast products based on ensemble prediction systems (EPSs). This change has been recognised as an essentially useful tool for medium-range forecasting and is now finding its place in forecasting the extreme events. Here we investigate extreme events (heatwaves) using a high-resolution NWP model and its ensemble models in union with the classical statistical scores to serve verification purposes.