Man‐Yau Chan

Man-Yau Chan works on improving weather forecasting through data assimilation, which is the process of combining observational data (like satellite radiances or even cosmic ray measurements) with computer weather models to produce better forecasts. Much of the work focuses on handling the statistical challenges of using cloud-affected ('all-sky') satellite infrared and microwave observations, especially for predicting hurricanes and tropical storms. The research combines statistical methods, such as ensemble-based filtering techniques, with case studies of specific storms like Hurricanes Harvey, Irma, and Dorian.

Publication output rose sharply around 2021 with six papers, then settled into a steadier pace of about two to three per year through 2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026