The Potential of Machine Learning to Improve the Parameterization of Primary and Secondary Gravity Waves in Global Atmospheric Model

Dong, Wenjun

The Potential of Machine Learning to Improve the Parameterization of Primary and Secondary Gravity Waves in Global Atmospheric Model

Wenjun Dong^1,2, Alan Liu³, David C Fritts⁴, Hanli Liu⁵ and Thomas Lund², (1)Embry-Riddle Aeronautical University, Daytona Beach, United States, (2)GATS, Inc., Newport News, United States, (3)Embry-Riddle Aeronautical University, Department of Physical Sciences, Daytona Beach, FL, United States, (4)GATS, Inc., Boulder, CO, United States, (5)National Center for Atmospheric Research, High Altitude Observatory, Boulder, CO, United States