paper
2025
Extremes & hazards
Global medium-range NWP Evaluation or intercomparison of existing models
6 h–3 days3–15 daysColorado State University (incl. CIRA) Journal
2025-05-19
022
May 2025
Russ S. Schumacher, Alexandra C. Mazurek, Charles M. Davis et al.
Monthly Weather Review
Colorado State University (incl. CIRA)
A case study of an extreme 2022 High Plains cold front finds data-driven deep-learning forecasts better timed than physics models but missed the extreme temperature gradients.
A Big Chill: Examining an Extremely Sharp Cold Front from Three Perspectives
In one sentence. A case study of an extreme 2022 High Plains cold front finds data-driven deep-learning forecasts better timed than physics models but missed the extreme temperature gradients.
Labels
- Topic
- Extremes & hazards, Global medium-range NWP
- Type
- Evaluation or intercomparison of existing models
- Time scale
- 6 h–3 days, 3–15 days
- Domain
- Regional
- Data
- Station / in-situ, NWP analysis or forecasts (IFS, GFS, ...), km-scale or high-res simulation
- Status
- Research
- Identifiers
- DOI:10.1175/mwr-d-24-0132.1 OpenAlex:W4410484069
- Added
- 2026-10-22
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