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contributor authorMetta, Sabino
contributor authorvon Hardenberg, Jost
contributor authorFerraris, Luca
contributor authorRebora, Nicola
contributor authorProvenzale, Antonello
date accessioned2017-06-09T16:30:13Z
date available2017-06-09T16:30:13Z
date copyright2009/10/01
date issued2009
identifier issn1525-755X
identifier otherams-69039.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4210664
description abstractA 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.
publisherAmerican Meteorological Society
titlePrecipitation Nowcasting by a Spectral-Based Nonlinear Stochastic Model
typeJournal Paper
journal volume10
journal issue5
journal titleJournal of Hydrometeorology
identifier doi10.1175/2009JHM1120.1
journal fristpage1285
journal lastpage1297
treeJournal of Hydrometeorology:;2009:;Volume( 010 ):;issue: 005
contenttypeFulltext


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