Attempts to parameterize cloud water profiles using a neural network
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 ver...
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Veröffentlicht in: | Atmospheric science letters 2004-10, Vol.5 (7), p.141-145 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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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ISSN: | 1530-261X 1530-261X |
DOI: | 10.1002/asl.76 |