paper
2022
Post-processing & calibration
New model or method
Classical ML (trees, GP, linear, kernels)6 h–3 days Preprint
2022-01-01
008
Jan 2022
El Ayari Mehrez
University of Debrecen Electronic Archive (University of Debrecen)
Thesis develops probabilistic post-processing of ensemble forecasts for water level, solar irradiance and total cloud cover using statistical and machine learning methods.
Post-processing of Ensemble Forecasts of Various Weather and Hydrological Quantities Using Statistical and Machine Learning Methods
In one sentence. Thesis develops probabilistic post-processing of ensemble forecasts for water level, solar irradiance and total cloud cover using statistical and machine learning methods.
Labels
- Topic
- Post-processing & calibration
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Regional
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- OpenAlex:W7197936449
- Added
- 2026-10-22
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