Professor Beck’s research focuses on leveraging the latest developments in machine learning, satellite remote sensing and modeling to recognize, understand and manage climate hazards such as floods, droughts and heat waves. His background in climate-water interactions, environmental impact assessments, flood and drought forecasting and big data analysis have proven invaluable in the development of hydrometeorological data products for obtaining the highest quality precipitation estimates with real-time accuracy from any location in the world; among these, his MSWEP global precipitation forecast product is used by researchers, hydrologists, and water resource managers, among other specialists, for applications such as hydrological modeling, water resource management, and extreme weather event detection. ​