On the use of kolmogorov–arnold networks for adapting wind numerical weather forecasts with explainability and interpretability: application to madeira international airport

On the use of kolmogorov–arnold networks for adapting wind numerical weather forecasts with explainability and interpretability: application to madeira international airport

This study examines the application of machine learning to enhance wind nowcasting by using a Kolmogorov-Arnold Network model to improve predictions from the Global Forecast System at Madeira International Airport, a site affected by complex terrain. The research addresses the limitations of traditi...

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Bibliographic Details
Main Authors: Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:Environmental Research Communications
Subjects:
kolmogorov-arnold network
wind nowcasting
madeira airport
explainability
interpretability
machine learning
Online Access:https://doi.org/10.1088/2515-7620/ad810f
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https://doi.org/10.1088/2515-7620/ad810f

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