This paper proposes a weather radar echo prediction method based on cyclic convolutional neural network, which is called the EDD model, its design was inspired ...

May 20, 2021 · This paper presents a radar echo prediction method based on c Convolutional Neural Networks and Long Short-Term Memory networks, which can ...

This paper presents a radar echo prediction method based on c Convolutional Neural Networks ... predict the shape of weather radar echo ... Recurrent Neural Network.

This paper presents a radar echo prediction method based on c Convolutional Neural Networks and Long Short-Term Memory networks, which can effectively predict ...

This paper proposes a method of weather radar echo extrapolation based on convolutional neural networks (CNNs), which achieved higher accuracy of ...

The Conv-LSTM is used as the neuron of the encoder–decoder model to form a time-series prediction model for radar echo extrapolation.

Jun 22, 2022 · This weather radar echo prediction method is based on convolution neural network and long short-term memory networks. The results show that the ...

In this work, we propose a deep learning based approach for precipitation forecasting using Doppler weather radar data. Our approach uses convolutions ...

used to determine the intensity distribution of echo and the mov- predict the radar echo image. Combining CNN and LSTM, Shi et al. ... reduce the loss of ...

The radar echo extrapolation based on deep learning fall into two broad categories: Convolutional neural networks (CNN) method and Convolutional Recurrent ...