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Found 2 papers, 2 papers with code
Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecture
This paper presents a deep learning architecture for nowcasting of precipitation almost globally every 30 min with a 4-hour lead time.
A Deep Learning Architecture for Passive Microwave Precipitation Retrievals using CloudSat and GPM Data
This paper presents an algorithm that relies on a series of dense and deep neural networks for passive microwave retrieval of precipitation.
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