A Hybrid Atmospheric Model Incorporating Machine Learning Can Capture Dynamical Processes Not Captured by Its Physics-Based Component
- Troy Arcomano
, - Istvan Szunyogh,
- Alexander Wikner,
- Brian R Hunt,
- Edward Ott
Troy Arcomano
Department of Atmospheric Sciences, Texas A&M University, Institute for Physical Science and Technology, University of Maryland
Corresponding Author:[email protected]
Author ProfileIstvan Szunyogh
Department of Atmospheric Sciences, Texas A&M University
Alexander Wikner
Department of Physics, University of Maryland
Brian R Hunt
Institute for Physical Science and Technology, University of Maryland, Department of Electrical and Computer Engineering, University of Maryland
Edward Ott
Department of Physics, University of Maryland, Department of Electrical and Computer Engineering, University of Maryland
22 Dec 2022Submitted to ESS Open Archive 27 Dec 2022Published in ESS Open Archive
