This research investigates how landslides disrupt New Zealand's road network. By analysing past landslides, linking landslide severity to road impacts, and combining these relationships with landslide forecasts, the project aims to predict future road closures, improve emergency planning, reduce community isolation, and enhance public safety during severe weather and earthquakes.

This research improves weather and climate forecasting by studying how dry air mixes into thunderstorm clouds, a process called entrainment. Using satellite observations, radar data, and interpretable machine learning, the work refines outdated cloud physics models, helping scientists better predict severe weather, hurricanes, and long-term climate behavior.