Efficient Super‐Resolution of Near‐Surface Climate Modeling Using the Fourier Neural Operator

Efficient Super‐Resolution of Near‐Surface Climate Modeling Using the Fourier Neural Operator

Abstract Downscaling methods are critical in efficiently generating high‐resolution atmospheric data. However, state‐of‐the‐art statistical or dynamical downscaling techniques either suffer from the high computational cost of running a physical model or require high‐resolution data to develop a down...

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Bibliographic Details
Main Authors: Peishi Jiang, Zhao Yang, Jiali Wang, Chenfu Huang, Pengfei Xue, T. C. Chakraborty, Xingyuan Chen, Yun Qian
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2023-07-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
zero‐shot super resolution
the Fourier neural operator
WRF
regional climate modeling
near‐surface heat‐exposure estimates
Online Access:https://doi.org/10.1029/2023MS003800

Internet

https://doi.org/10.1029/2023MS003800

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