A Machine Learning Approach for Rainfall Nowcasting Using Numerical Model and Observational Data

A Machine Learning Approach for Rainfall Nowcasting Using Numerical Model and Observational Data

The application of machine learning (ML) algorithms in large datasets in the field of meteorology is at the forefront of research. In this context, the use of satellite data to estimate the amount of rainfall is an important field of research, with operational applications. It is important to accura...

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Bibliographic Details
Main Authors: Georgios Kyros, Ioannis Manolas, Konstantinos Diamantaras, Stavros Dafis, Konstantinos Lagouvardos
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Environmental Sciences Proceedings
Subjects:
machine learning
meteorological data
rainfall prediction
random forest
deep learning
Online Access:https://www.mdpi.com/2673-4931/26/1/11

Internet

https://www.mdpi.com/2673-4931/26/1/11

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