<i>NowDeepN</i>: An Ensemble of Deep Learning Models for Weather Nowcasting Based on Radar Products’ Values Prediction
One of the hottest topics in today’s meteorological research is <i>weather nowcasting</i>, 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 g...
Main Authors: | Gabriela Czibula, Andrei Mihai, Eugen Mihuleţ |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-12-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/1/125 |
Similar Items
-
<i>AutoNowP</i>: An Approach Using Deep Autoencoders for Precipitation Nowcasting Based on Weather Radar Reflectivity Prediction
by: Gabriela Czibula, et al.
Published: (2021-07-01) -
Precipitation Nowcasting with Weather Radar Images and Deep Learning in São Paulo, Brasil
by: Suzanna Maria Bonnet, et al.
Published: (2020-10-01) -
A Nowcasting Model for Tropical Cyclone Precipitation Regions Based on the TREC Motion Vector Retrieval with a Semi-Lagrangian Scheme for Doppler Weather Radar
by: Jingyin Tang, et al.
Published: (2018-05-01) -
RN-Net: A Deep Learning Approach to 0–2 h Rainfall Nowcasting Based on Radar and Automatic Weather Station Data
by: Fuhan Zhang, et al.
Published: (2021-03-01) -
A Deep Learning‐Based Methodology for Precipitation Nowcasting With Radar
by: Lei Chen, et al.
Published: (2020-02-01)