Open AccessAttempts 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
Abstract 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