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A Hybrid Atmospheric Model Incorporating Machine Learning Can Capture Dynamical Processes Not Captured by Its Physics-Based Component
  • +2
  • Troy Arcomano,
  • Istvan Szunyogh,
  • Alexander Wikner,
  • Brian R Hunt,
  • Edward Ott
Troy Arcomano
Institute for Physical Science and Technology, University of Maryland, Department of Atmospheric Sciences, Texas A&M University

Corresponding Author:[email protected]

Author Profile
Istvan Szunyogh
Department of Atmospheric Sciences, Texas A&M University
Alexander Wikner
Department of Physics, University of Maryland
Brian R Hunt
Department of Electrical and Computer Engineering, University of Maryland, Institute for Physical Science and Technology, University of Maryland
Edward Ott
Department of Electrical and Computer Engineering, University of Maryland, Department of Physics, University of Maryland
22 Dec 2022Submitted to ESS Open Archive
27 Dec 2022Published in ESS Open Archive