My postdoctoral research aims to improve the understanding and assessment of risks associated with convective storms and severe weather under both current and future climate conditions.
The work focuses on high-impact convective weather phenomena, including thunderstorms, heavy precipitation, hail and severe wind gusts, and their relevance for climate- and weather-sensitive sectors, such as forestry and agriculture, in boreal and Arctic regions. The research supports the development of risk information across spatial and temporal scales, from weather-related events to longer-term climate conditions. The work explores the use of kilometre-scale meteorological data, such as DestinE Digital Twin output, in combination with impact-based data and machine-learning methods to investigate and develop probabilistic hazard and risk estimates in support of regional risk awareness, preparedness, and climate adaptation.
