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A framework for probabilistic weather forecast post-processing across models and lead times using machine learning
Forecasting the weather is an increasingly data-intensive exercise. Numerical weather prediction (NWP) models are becoming more complex, with higher resolutions, and there are increasing numbers of different models in operation. While the forecasting skill of NWP models continues to improve, the num...
Autores principales: | Kirkwood, Charlie, Economou, Theo, Odbert, Henry, Pugeault, Nicolas |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898129/ https://www.ncbi.nlm.nih.gov/pubmed/33583271 http://dx.doi.org/10.1098/rsta.2020.0099 |
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