A Hybrid Extended Kalman Filter Based on Parametrized ANNs for the Improvement of the Forecasts of Numerical Weather and Wave Prediction Models

A hybrid optimization filter for weather and wave numerical models is proposed and tested in this study. Parametrized Artificial Neural Networks are utilized in conjunction with Extended Kalman Filters to provide a novel postprocess strategy for 10 m wind speed, 2 m air temperature, and significant...

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Bibliografiska uppgifter

Huvudupphov:	Athanasios Donas, George Galanis, Ioannis Pytharoulis, Ioannis Th. Famelis
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2024-07-01
Serie:	Atmosphere
Ämnen:	optimization of numerical forecasts numerical weather and wave prediction Extended Kalman Filters feedforward neural networks radial basis function neural networks
Länkar:	https://www.mdpi.com/2073-4433/15/7/828
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