paper
2021
Explainability, uncertainty & physics
Probabilistic & ensemble forecasting New model or method
Argonne National Laboratory Journal
2021-01-12
018
Jan 2021
Azam Moosavi, Vishwas Rao, Adrian Sandu
Journal of Computational Science
Argonne National Laboratory
Proposes machine learning algorithms for uncertainty quantification in numerical weather prediction models; no abstract is available to confirm details.
Explainability, uncertainty & physics
Machine learning based algorithms for uncertainty quantification in numerical weather prediction models
In one sentence. Proposes machine learning algorithms for uncertainty quantification in numerical weather prediction models; no abstract is available to confirm details.
Labels
- Topic
- Explainability, uncertainty & physics, Probabilistic & ensemble forecasting
- Type
- New model or method
- Status
- Research
- Identifiers
- DOI:10.1016/j.jocs.2020.101295 OpenAlex:W3120662190
- Added
- 2026-10-22
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