Man-Yau (Joseph) Chan

Dr. Man-Yau ("Joseph") Chan has expertise in statistical meteorology and serves as an Assistant Professor in the Department of Geography at Ohio State University. His research is primarily centered on the development and application of Ensemble Data Assimilation (EnsDA), a pivotal technique in Earth system forecasting. EnsDA plays a critical role in modern weather, ocean, and land forecasting systems by integrating measurement data with sophisticated computer models to enhance prediction accuracy. Dr. Chan's research interests are diverse yet interconnected, focusing on expanding the usage of observations in forecasting models and advancing EnsDA algorithms. His work aims to create improved Earth System datasets that can provide more accurate and reliable forecasts. By understanding the growth of errors in models, Dr. Chan seeks to refine the predictive capabilities of these systems, thereby contributing to more precise and dependable forecasts. In addition to his research, Dr. Chan is committed to developing accessible educational approaches for future data scientists. He believes in equipping the next generation with the necessary skills and knowledge to navigate and innovate within the field of data science, particularly in the context of Earth system forecasting. Dr. Chan's contributions to the field are not only technical but also educational, as he strives to bridge the gap between complex scientific concepts and practical applications. His work is instrumental in pushing the boundaries of what is possible in statistical meteorology and Earth system forecasting, making significant strides toward more accurate and comprehensive understanding of our planet's systems.