Uncertainty Impacts During Resolution of the Freezing Level for Forecast Verification
Accurate snow level forecasts are essential for predicting the precipitation phase in mountainous California watersheds, where small vertical errors can cause large discrepancies in modeled runoff and reservoir inflows. This study evaluates the vertic
Authors
- Fred Martin Ralph (ORCID: https://orcid.org/0000-0002-0870-6396)
- Chad W. Hecht (ORCID: https://orcid.org/0000-0002-8357-3263)
- Shawn Roj (ORCID: https://orcid.org/0000-0003-0515-0270)
- Ava Cooper (ORCID: https://orcid.org/0000-0003-3577-0796)
- Luca Delle Monache (ORCID: https://orcid.org/0000-0003-4953-0881)
- Rachel Weihs
- Brett Whitin (ORCID: https://orcid.org/0009-0000-2717-8974)
- Angelique Fabbiani-Leon
- Peter Yao
Institutions
- Scripps Institution of Oceanography (US)
- University of California San Diego (US)
- Institute for Forecasting of the Slovak Academy of Sciences (SK)
Publication Details
- Published
- 2025-08-25
- DOI
- https://doi.org/10.22541/essoar.175611174.48510631/v1
- Primary Topic
- Diverse Interdisciplinary Research Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Department of Water Resources
- University of California, San Diego
- U.S. Army Corps of Engineers