<i>AutoNowP</i>: An Approach Using Deep Autoencoders for Precipitation Nowcasting Based on Weather Radar Reflectivity Prediction

<i>AutoNowP</i>: An Approach Using Deep Autoencoders for Precipitation Nowcasting Based on Weather Radar Reflectivity Prediction

Short-term quantitative precipitation forecast is a challenging topic in meteorology, as the number of severe meteorological phenomena is increasing in most regions of the world. Weather radar data is of utmost importance to meteorologists for issuing short-term weather forecast and warnings of seve...

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Bibliographic Details
Main Authors: Gabriela Czibula, Andrei Mihai, Alexandra-Ioana Albu, Istvan-Gergely Czibula, Sorin Burcea, Abdelkader Mezghani
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Mathematics
Subjects:
precipitation nowcasting
deep learning
autoencoders
radar data
Online Access:https://www.mdpi.com/2227-7390/9/14/1653

Internet

https://www.mdpi.com/2227-7390/9/14/1653

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