# Collaborative Research: CAIG: Emulating Water Isotopes in Fully-coupled Global Climate Models using Knowledge-guided Machine Learning

**Budget Signal Score:** 55/100

| Field | Value |
|---|---|
| Institution | Rutgers University New Brunswick |
| Location | NEW BRUNSWICK, NJ |
| Project | Collaborative Research: CAIG: Emulating Water Isotopes in Fully-coupled Global Climate Models using Knowledge-guided Machine Learning |
| Award amount | $383,203 |
| Obligated so far | $383,203 |
| Awarded | 2026-10-13 |
| Period | 2026-10-15 to 2028-10-31 |
| Program | GEO CI - GEO Cyberinfrastrctre |
| Directorate / division | GEO / GCP |
| Award ID | 2644117 |

## Why this score
- Award of $300K or more.
- Awarded in the last 30 days.

Source: U.S. National Science Foundation Awards API (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2644117). Last refreshed: 2026-11-03T18:10:42.804Z.
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.