Improving 2 m temperature forecasts of numerical weather prediction through a machine learning-based Bayesian model

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Publié dans:	Meteorology and Atmospheric Physics vol. 137, no. 1 (Jan 2025), p. 9
Publié:	Springer Nature B.V.
Sujets:	Weather forecasting Forecasting data Accuracy Artificial intelligence Forecast accuracy Socioeconomic aspects Weather Temperature Machine learning Numerical weather forecasting Marking and tracking techniques Systematic errors Bayesian analysis Predictions Root-mean-square errors Economic development Medium-range forecasting Temperature forecasting Probability theory Bayesian theory Environmental
Accès en ligne:	Citation/Abstract Full Text - PDF
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