# Collaborative Research: CAIG: Advancing long-term temperature reconstruction using physics-informed neural networks through lake model emulation

**Budget Signal Score:** 40/100

| Field | Value |
|---|---|
| Institution | Northern Arizona University |
| Location | FLAGSTAFF, AZ |
| Project | Collaborative Research: CAIG: Advancing long-term temperature reconstruction using physics-informed neural networks through lake model emulation |
| Award amount | $485,329 |
| Obligated so far | $485,329 |
| Awarded | 2026-08-10 |
| Period | 2026-08-15 to 2029-07-31 |
| Program | AI and Geosciences |
| Directorate / division | GEO / GCP |
| Award ID | 2615988 |

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

Source: U.S. National Science Foundation Awards API (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2615988). 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.