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NowDeepN: An Ensemble of Deep Learning Models for Weather Nowcasting Based on Radar Products' Values Prediction
Content Provider | MDPI |
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Author | Eugen, Mihuleţ Czibula, Gabriela Mihai, Andrei |
Copyright Year | 2020 |
Abstract | One of the hottest topics in today’s meteorological research is Weather nowcasting, which is the weather forecast for a short time period such as one to six hours. Radar is an important data source used by operational meteorologists for issuing nowcasting warnings. With the main goal of helping meteorologists in analysing radar data for issuing nowcasting warnings, we propose |
Starting Page | 125 |
e-ISSN | 20763417 |
DOI | 10.3390/app11010125 |
Journal | Applied Sciences |
Issue Number | 1 |
Volume Number | 11 |
Language | English |
Publisher | MDPI |
Publisher Date | 2020-12-24 |
Access Restriction | Open |
Subject Keyword | Applied Sciences Marine Engineering Weather Nowcasting Machine Learning Deep Neural Networks Autoencoders Principal Component Analysis |
Content Type | Text |
Resource Type | Article |