Cameron Bertossa

PhD Topic: Polar Radiative Regimes

MS Topic: Detecting Clouds with Machine Learning Methods for PREFIRE (2022)

BS Major: Atmospheric Science (2020)

My research interests lie in detecting and understanding what causes preferred atmospheric behavior. Generally these preferred states are referred to as ‘regimes’. Regimes are frequently studied within the context of long standing weather patterns or climate states, and can be exhibited as multi-modality in forecasts. Understanding what leads to this behavior in the present climate, may give a better understanding as to how weather and climate will change in the future. Recently, I’ve been especially interested in polar radiative regimes that are exhibited in the Arctic, where the atmosphere rapidly switches from one that is opaque to one that is transmissive. Each state is metastable, persisting for days to weeks at a time.