Attempts to parameterize cloud water profiles using a neural network | Zendy

Michelson D. B. | Zendy; Landelius T. | Zendy; Jones C. G. | Zendy; Collier C. G. | Zendy

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Attempts to parameterize cloud water profiles using a neural network

Author(s) -

Michelson D. B.,

Landelius T.,

Jones C. G.,

Collier C. G.

Publication year - 2004

Publication title -

atmospheric science letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.951

H-Index - 45

ISSN - 1530-261X

DOI - 10.1002/asl.76

Subject(s) - cloud computing , artificial neural network , meteorology , environmental science , numerical weather prediction , state variable , atmospheric sciences , computer science , geology , geography , artificial intelligence , physics , operating system , thermodynamics

Atmospheric state variables from a Numerical Weather Prediction (NWP) model are combined with analyzed cloud base heights in a neural network, with the objective to model corresponding cloud water profiles. It was found that the neural network was incapable of resolving the inherently non‐linear vertical cloud water distributions. Copyright © 2004 Royal Meteorological Society

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