paper
2023
Probabilistic & ensemble forecasting
Post-processing & calibration Position or perspective paper
Classical ML (trees, GP, linear, kernels)3–15 days Preprint
2023-01-01
004
Jan 2023
Rüdiger Brecht, Alexander Bihlo
SSRN Electronic Journal
Explores replacing precipitation ensemble prediction systems with machine learning; no abstract is available, so the approach and results are unclear.
Probabilistic & ensemble forecasting
Towards Replacing Precipitation Ensemble Predictions Systems Using Machine Learning
In one sentence. Explores replacing precipitation ensemble prediction systems with machine learning; no abstract is available, so the approach and results are unclear.
Labels
- Topic
- Probabilistic & ensemble forecasting, Post-processing & calibration
- Type
- Position or perspective paper
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 3–15 days
- Domain
- Regional
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- arXiv:2304.10251 DOI:10.2139/ssrn.4437064 OpenAlex:W4371783470
- Added
- 2026-10-22
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