paper
2022
Post-processing & calibration
Probabilistic & ensemble forecasting New model or method
OtherOak Ridge National Laboratory Preprint
2022-05-25
022
May 2022
Patrick Fan
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Oak Ridge National Laboratory
Bayesian neural network learns spatiotemporally varying weights to combine climate-model precipitation ensembles, outperforming three ensemble methods and quantifying epistemic uncertainty.
Multimodel Ensemble Predictions of Precipitation using Bayesian Neural Networks
In one sentence. Bayesian neural network learns spatiotemporally varying weights to combine climate-model precipitation ensembles, outperforming three ensemble methods and quantifying epistemic uncertainty.
Labels
- Topic
- Post-processing & calibration, Probabilistic & ensemble forecasting
- Type
- New model or method
- Method
- Other
- Domain
- Regional
- Data
- CMIP / climate model output
- Status
- Research
- Identifiers
- OpenAlex:W4281564155
- Added
- 2026-10-22
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