1 code implementation • 20 Jul 2023 • Reyhaneh Rahimi, Praveen Ravirathinam, Ardeshir Ebtehaj, Ali Behrangi, Jackson Tan, Vipin Kumar
This paper presents a deep learning architecture for nowcasting of precipitation almost globally every 30 min with a 4-hour lead time.
1 code implementation • 16 Aug 2021 • Mohammad Reza Ehsani, Ariyan Zarei, Hoshin V. Gupta, Kobus Barnard, Ali Behrangi
However, the development of such a system is complicated by the chaotic nature of the atmosphere, and the consequent rapid changes that can occur in the structures of precipitation systems In this work, we develop two approaches (hereafter referred to as Nowcasting-Nets) that use Recurrent and Convolutional deep neural network structures to address the challenge of precipitation nowcasting.