Overcoming set imbalance in data driven parameterization: A case study of gravity wave momentum transport

L. Minah Yang, Edwin P. Gerber

Machine learning for the parameterization of subgrid-scale processes in climate models has been widely researched and adopted in a few models. A key challenge in developing data-dr…