A Modified Kalman Filter Based on Radial Basis Function Neural Networks for the Improvement of Numerical Weather Prediction Models

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Bibliografiska uppgifter
I publikationen:	Atmosphere vol. 16, no. 3 (2025), p. 248
Huvudupphov:	Donas, Athanasios
Övriga upphov:	Galanis, George, Pytharoulis, Ioannis, Famelis, Ioannis Th
Utgiven:	MDPI AG
Ämnen:	US Geological Survey Greece Mediterranean Sea Weather forecasting Wind speed Weather Neural networks Air temperature Forecast errors Numerical weather forecasting Uncertainty Prediction models Kalman filters Systematic errors Adaptive systems Precipitation Forecasting models Algorithms Error reduction Deep learning Boundary conditions Bias Covariance matrix Machine learning Radial basis function Temperature Climate science Rain
Länkar:	Citation/Abstract Full Text + Graphics Full Text - PDF
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