paper
2024
Post-processing & calibration
Applications & impacts Evaluation or intercomparison of existing models
Classical ML (trees, GP, linear, kernels)6 h–3 daysColorado State University (incl. CIRA)NOAA (incl. GFDL, PSL, GSL, NCEP/EMC) Journal
2024-07-09
047
Jul 2024
Michael D. Pletcher, Peter G. Veals, Michael E. Wessler et al.
Weather and Forecasting
Colorado State University (incl. CIRA), NOAA (incl. GFDL, PSL, GSL, NCEP/EMC)
Validates GFS and HRRR snowfall forecasts in Utah; a local random forest cuts snow-to-liquid ratio error from 4.5–7.7 to 3.7 but operational models underpredict precipitation.
Validation of Cool-Season Snowfall Forecasts at a High-Elevation Site in Utah’s Little Cottonwood Canyon
In one sentence. Validates GFS and HRRR snowfall forecasts in Utah; a local random forest cuts snow-to-liquid ratio error from 4.5–7.7 to 3.7 but operational models underpredict precipitation.
Labels
- Topic
- Post-processing & calibration, Applications & impacts
- Type
- Evaluation or intercomparison of existing models
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- NWP analysis or forecasts (IFS, GFS, ...), Station / in-situ
- Status
- Pre-operational / experimental
- Identifiers
- DOI:10.1175/waf-d-23-0176.1 OpenAlex:W4400461709
- Added
- 2026-10-22
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