Precipitation Nowcasting by a Spectral-Based Nonlinear Stochastic Model (Articolo in rivista)

Type
Label
  • Precipitation Nowcasting by a Spectral-Based Nonlinear Stochastic Model (Articolo in rivista) (literal)
Anno
  • 2009-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1175/2009JHM1120.1 (literal)
Alternative label
  • Metta S., J. von Hardenberg, L. Ferraris, N. Rebora, A. Provenzale. (2009)
    Precipitation Nowcasting by a Spectral-Based Nonlinear Stochastic Model
    in Journal of hydrometeorology (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Metta S., J. von Hardenberg, L. Ferraris, N. Rebora, A. Provenzale. (literal)
Pagina inizio
  • 1285 (literal)
Pagina fine
  • 1297 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 10 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 5 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • (1) CNR, ISAC, I-10133 Turin, Italy (Metta, Provenzale); (2) CNR, ISAC, Lecce, Italy (von Hardenberg); (3) CIMA Res Fdn, Savona, Italy (Ferraris, Rebora) (literal)
Titolo
  • Precipitation Nowcasting by a Spectral-Based Nonlinear Stochastic Model (literal)
Abstract
  • A novel rainfall nowcasting method based on the combination of an empirical nonlinear transformation of measured precipitation fields and the stochastic evolution in spectral space of the transformed fields is introduced. The power spectrum and the amplitude distribution of precipitation are kept constant during the forecast, and a Langevin-type model is used to evolve the Fourier phases. The application of the method to a study case is illustrated, and it is shown that, with this procedure, a forecast skill can be obtained that is superior to those provided by Eulerian or Lagrangian persistence for a lead time of up to two hours. (literal)
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Autore CNR

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