Recent Progress on the Phased Array Weather Radar at X Band

Author:

Ushio Tomoo1,Kim Dong-Kyun1,Baron Philippe1,Wada Yuuki1,Mega Tomoaki1,Mizutani Fumihiko2,Wada Masakazu2,Yoshikawa Eiichi3,Satoh Shinsuke4,Hanado Hiroshi4

Affiliation:

1. Osaka University,Electrical Engineering Dept.,Osaka,Japan

2. Toshiba,Tokyo,Japan

3. JAXA,Tokyo,Japan

4. NICT,Tokyo,Japan

Funder

SIP (Strategic Innovation Promotion Program)

Publisher

IEEE

Reference8 articles.

1. Precipitation Nowcasting with Three-Dimensional Space–Time Extrapolation of Dense and Frequent Phased-Array Weather Radar Observations

2. Fast-Scanning Phased-Array Weather Radar With Angular Imaging Technique

3. Dense Optical Flow Prediction from a Static Image

4. Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting;shi;Advances in Neural Information Processing Systems (NIPS),2015

5. PredRNN: Recurrent neural networks for predictive learning using spatiotemporal LSTMs;wang;Advances in Neural Information Processing Systems (NIPS),2017

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