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Classification of meteorological patterns

  • Part VII: Prediction, Forecasting and Monitoring
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Artificial Neural Networks — ICANN'97 (ICANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1327))

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Abstract

A classification system which organizes in a restricted number typical meteorological situations, is useful in order to find a relationship between meteorological patterns present in the forecasts and derive local weather parameters. The conventional classifiers based on climatology commonly adopted by weather centres suffer from subjective construction and application which weak the analogy method. This paper deals with the construction of an artificial neural network aimed to classify meteorological patterns. Solutions to meteorological requirements are presented together with operational applications.

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References

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Authors

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Wulfram Gerstner Alain Germond Martin Hasler Jean-Daniel Nicoud

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© 1997 Springer-Verlag Berlin Heidelberg

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Ambühl, J., Cattani, D., Eckert, P. (1997). Classification of meteorological patterns. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020303

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  • DOI: https://doi.org/10.1007/BFb0020303

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63631-1

  • Online ISBN: 978-3-540-69620-9

  • eBook Packages: Springer Book Archive

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