Research

We investigate interactions between weather, climate, and energy systems. Our research is motivated by the need to decarbonize our energy systems and to understand and anticipate the impacts of weather, climate change and extreme events. Renewable resources such as solar radiation and wind are inherently dependent on atmospheric processes which vary across timescales and spatial scales. Our research is at the intersection of artificial intelligence, atmospheric physics and remote sensing. Our research interests include the potential of emulators and physics-inspired machine learning in Earth science and remote sensing. We also investigate forecasting and predictability of energy resources, power production and demand conditions from minutes to decades ahead, and the impacts of climate change and extreme events on energy systems and resources. We also develop decision support systems for monitoring and prediction of operational hazards and climate risks for energy systems and critical infrastructure.
 

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