Exploiting radar polarimetry for nowcasting thunderstorm hazards using deep learning
<p>This work presents the importance of polarimetric variables as an additional data source for nowcasting thunderstorm hazards using an existing neural network architecture with recurrent-convolutional layers. The model can be trained to predict different target variables, which enables nowca...
Main Authors: | N. Rombeek, J. Leinonen, U. Hamann |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2024-01-01
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Series: | Natural Hazards and Earth System Sciences |
Online Access: | https://nhess.copernicus.org/articles/24/133/2024/nhess-24-133-2024.pdf |
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