# EAGER: Understanding Wildfire Smoke Transport though Satellite Observations, Machine Learning, and Numerical Modeling

**Budget Signal Score:** 40/100

| Field | Value |
|---|---|
| Institution | University of California-Los Angeles |
| Location | LOS ANGELES, CA |
| Project | EAGER: Understanding Wildfire Smoke Transport though Satellite Observations, Machine Learning, and Numerical Modeling |
| Award amount | $337,405 |
| Obligated so far | $337,405 |
| Awarded | 2026-08-07 |
| Period | 2026-08-15 to 2028-07-31 |
| Program | ESH-Earth System Hazards, Physical & Dynamic Meteorology |
| Directorate / division | GEO / GCP |
| Award ID | 2621863 |

## Why this score
- Award of $300K or more.

Source: U.S. National Science Foundation Awards API (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2621863). Last refreshed: 2026-11-04T18:13:44.963Z.
Award data comes from the NSF Awards API and may be amended by NSF. Institution-level only; investigator contact details are not included. Informational only.