Prof. Majumdar’s research group uses several techniques to understand and improve the prediction of high-impact weather events, particularly tropical cyclones. They use numerical models, ensemble predictions, satellite and aircraft observations, and data assimilation schemes. They study how to best incorporate a variety of datasets into models using state-of-the-art data assimilation methods. Other studies involve the examination of how ensembles can improve our representation and understanding of uncertainty in forecasts.