This $518,425 Project Grant was awarded by the National Science Foundation (NSF) Geosciences Program (CFDA 47.050) to George Mason University. The grant aims to revolutionize snow water equivalent (SWE) forecasting by integrating physics-informed neural networks and graph neural network models. Key products and services to be delivered include:
- Advancing scientific understanding of snow water processes and improving SWE prediction capabilities to support better water resource management and climate change adaptation
- Enabling inclusivity and education by involving graduate students and underrepresented groups in artificial intelligence research related to SWE forecasting
- Utilizing the GeoWeaver workflow management platform to make advanced AI tools accessible to snow researchers and practitioners
- Organizing hands-on workshops and hackathons to provide students and snow researchers with training in AI and SWE forecasting
The project includes a $68,721 sub-award to Montana State University to coordinate a workshop and facilitate collaboration among the project team. Overall, this award seeks to democratize access to AI research workflows and tools, foster interdisciplinary collaboration, and contribute to the broader discourse on climate change and water sustainability.
Generated 1/28/25, 9:58 AM