3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 2 cited
Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecture
Reyhaneh Rahimi, Praveen Ravirathinam, Ardeshir Ebtehaj +3
This paper presents a deep learning architecture for nowcasting of precipitation almost globally every 30 min with a 4-hour lead time. The architecture fuses a U-Net and a convolut…
cs.LG2022★ 3 cited
A Deep Learning Architecture for Passive Microwave Precipitation Retrievals using CloudSat and GPM Data
Reyhaneh Rahimi, Sajad Vahedizadeh, Ardeshir Ebtehaj
This paper presents an algorithm that relies on a series of dense and deep neural networks for passive microwave retrieval of precipitation. The neural networks learn from coincide…