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

This study introduces a novel enhancement to the Kalman filter algorithm by integrating it with Radial Basis Function neural networks to improve numerical weather prediction models. Traditional Kalman filters frequently underperform when used by dynamical systems due to their reliance on fixed covar...

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Main Authors: Athanasios Donas, George Galanis, Ioannis Pytharoulis, Ioannis Th. Famelis
Format: Artigo
Language:Inglês
Published: MDPI AG 2025-02-01
Series:Atmosphere
Subjects:
air temperature
post-process algorithms
Radial Basis Function neural networks
Kalman filters
Weather Research and Forecasting model
wind speed
Online Access:https://www.mdpi.com/2073-4433/16/3/248
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