A Hybrid Atmospheric Model Incorporating Machine Learning Can Capture Dynamical Processes Not Captured by Its PhysicsâBased Component
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DOI: 10.1029/2022gl102649
Abstract: It is shown that a recently developed hybrid modeling approach that combines machine learning (ML) with an atmospheric global circulation model (AGCM) can serve as a basis for capturing atmospheric processes not captured by the… read more here.
Keywords: physics; machine learning; component hybrid; model ... See more keywords