Forecasting the Daily Maximal and Minimal Temperatures from Radiosonde Measurements Using Neural Networks

This study investigates the potential of direct prediction of daily extremes of temperature at 2 m from a vertical profile measurement using neural networks (NNs). The analysis is based on 3800 daily profiles measured in the period 2004–2019. Various setups of dense sequential NNs are trained to pre...

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Autores principales: Gregor Skok, Doruntina Hoxha, Žiga Zaplotnik
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/53a914e579b74611b9ede873e1180743
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