55 citations · 65 across the 4 of their papers we have counts for
4 papers
A Benchmark Dataset for Satellite-Based Estimation and Detection of Rain
Simon Pfreundschuh, Malarvizhi Arulraj, Ali Behrangi +17
Accurately tracking the global distribution and evolution of precipitation is essential for both research and operational meteorology. Satellite observations remain the only means…
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…
Nowcasting-Nets: Deep Neural Network Structures for Precipitation Nowcasting Using IMERG
Mohammad Reza Ehsani, Ariyan Zarei, Hoshin V. Gupta +2
Accurate and timely estimation of precipitation is critical for issuing hazard warnings (e.g., for flash floods or landslides). Current remotely sensed precipitation products have…
Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples
Hoshin V Gupta, Mohammed Reza Ehsani, Tirthankar Roy +3
We develop a simple Quantile Spacing (QS) method for accurate probabilistic estimation of one-dimensional entropy from equiprobable random samples, and compare it with the popular…