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

  Authors:Xiaohui Zhong, Zhijian Ma, Yichen Yao, Lifei Xu, Yuan Wu, and Zhibin WangFrom:Geoscientific Model Development (Vol. 16, Issue 1) Peer-Reviewed

  Jan. 6, 2023213 words Brief article In numerical weather prediction (NWP) models, physical parameterization schemes are the most computationally expensive components, despite being greatly simplified. In the past few years, an increasing number of studies...