A modified deep learning weather prediction using cubed sphere for global precipitation

A modified deep learning weather prediction using cubed sphere for global precipitation

Deep learning (DL), a potent technology to develop Digital Twin (DT), for weather prediction using cubed spheres (DLWP-CS) was recently proposed to facilitate data-driven simulations of global weather fields. DLWP-CS is a temporal mapping algorithm wherein time-stepping is performed through U-NET. A...

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Bibliographic Details
Main Authors: Manmeet Singh, Nachiketa Acharya, Pratiman Patel, Sajad Jamshidi, Zong-Liang Yang, Bipin Kumar, Suryachandra Rao, Sukhpal Singh Gill, Rajib Chattopadhyay, Ravi S. Nanjundiah, Dev Niyogi
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Climate
Subjects:
weather prediction
digital twins
deep convolutional neural networks
U-NET
cubed sphere
precipitation
Online Access:https://www.frontiersin.org/articles/10.3389/fclim.2022.1022624/full

Internet

https://www.frontiersin.org/articles/10.3389/fclim.2022.1022624/full

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