The National Science Foundation (NSF) awarded a $198,702 Project Grant under the Geosciences program (CFDA 47.050) to Western Michigan University (WMU) to investigate the role of aerosols, particularly Saharan dust, in modulating tropical cyclone precipitation in the Atlantic basin. This 2-year project from January 1, 2025 to December 31, 2026 will employ advanced machine learning techniques and numerical weather models to enhance the understanding of the complex interactions between atmospheric and oceanic factors that drive tropical cyclone rainfall patterns. The research aims to uncover new relationships between environmental forcings and tropical cyclone dynamics, ultimately improving the accuracy of rainfall predictions in weather and climate models. The project also seeks to develop innovative machine learning frameworks adaptable to various scientific disciplines, enhance educational opportunities in climate science and machine learning, and increase public awareness of the risks associated with extreme weather events.
Generated 2/25/25, 3:54 AM