paper
2024
Post-processing & calibration
Sub-seasonal to seasonal New model or method
Classical ML (trees, GP, linear, kernels)2 weeks–2 monthsColorado State University (incl. CIRA) Journal
2024-10-29
026
Oct 2024
J. S. Cahill, Elizabeth A. Barnes, Eric Daniel Maloney et al.
Weather and Forecasting
Colorado State University (incl. CIRA)
Neural networks predict GEFS subseasonal forecast errors linked to MJO and BSISO phases, with explainability showing teleconnection-driven error sources.
Errors of Opportunity: Using Neural Networks to Predict Errors in the Global Ensemble Forecast System (GEFS) on S2S Time Scales
In one sentence. Neural networks predict GEFS subseasonal forecast errors linked to MJO and BSISO phases, with explainability showing teleconnection-driven error sources.
Labels
- Topic
- Post-processing & calibration, Sub-seasonal to seasonal
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 2 weeks–2 months
- Domain
- Global
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.1175/waf-d-23-0125.1 OpenAlex:W4403864144
- Added
- 2026-10-22
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