Predicting origins of coherent air mass trajectories using a neural network—the case of dry intrusions

Predicting origins of coherent air mass trajectories using a neural network—the case of dry intrusions

Abstract Mid‐latitude cyclones are complex weather systems that are tightly related to surface weather impacts. Coherent air streams are known to be associated with such systems, in particular dry intrusions (DIs) in which dry air masses descend slantwise from the vicinity of the tropopause equatorw...

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Bibliographic Details
Main Authors: Vered Silverman, Stav Nahum, Shira Raveh‐Rubin
Format: Article
Language:English
Published: Wiley 2021-03-01
Series:Meteorological Applications
Subjects:
air mass
air streams
deep learning
dry intrusions
machine learning
neural networks
Online Access:https://doi.org/10.1002/met.1986

Internet

https://doi.org/10.1002/met.1986

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