This $399,162 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to develop interpretable, stable, and mass-conserving artificial intelligence (AI) models to improve the computational speed and efficiency of geoscientific models, such as those used for air pollution and climate research. The project will create simpler "surrogate" machine learning models for key components like atmospheric chemistry and wildfire plume rise, allowing for more accurate and less resource-intensive virtual models of Earth systems. Additionally, the project will develop an "equation-based" platform to enhance the performance, modularity, and differentiability of geoscientific models, lowering barriers to their broader use in educational and policy settings. This work is expected to increase public understanding and trust in geoscientific models by improving their transparency. The award was made on November 15, 2024, with a planned completion date of October 31, 2027. No sub-awards are planned for this project.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $399.2k | 8/29/24 |