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Articles | Volume 16, issue 1
https://doi.org/10.5194/gmd-16-199-2023
https://doi.org/10.5194/gmd-16-199-2023
Model description paper
 | 
06 Jan 2023
Model description paper |  | 06 Jan 2023

WRF–ML v1.0: a bridge between WRF v4.3 and machine learning parameterizations and its application to atmospheric radiative transfer

Xiaohui Zhong, Zhijian Ma, Yichen Yao, Lifei Xu, Yuan Wu, and Zhibin Wang

Data sets

WRF-ML v1.0: A Bridge between WRF v4.3 and Machine Learning Parameterizations and its Application to Atmospheric Radiative Transfer Xiaohui Zhong, Zhijian Ma, Yichen Yao, Lifei Xu, Yuan Wu, and Zhibin Wang https://doi.org/10.5281/zenodo.7407487

Model code and software

WRF-ML v1.0: A Bridge between WRF v4.3 and Machine Learning Parameterizations and its Application to Atmospheric Radiative Transfer Xiaohui Zhong, Zhijian Ma, Yichen Yao, Lifei Xu, Yuan Wu, and Zhibin Wang https://doi.org/10.5281/zenodo.7407487

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Short summary
More and more researchers use deep learning models to replace physics-based parameterizations to...
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