| Títol: | Radar rainfall: separating signal and noise fields to generate meaningful ensembles |
| Autor: | Pegram, Geoffrey
Llort Pavon, Xavier
Sempere Torres, Daniel |
| Altres autors/autores: | Universitat Politècnica de Catalunya. Departament d'Enginyeria del Terreny, Cartogràfica i Geofísica |
| Matèries: | Universitat Politècnica de Catalunya. Departament d'Enginyeria del Terreny, Cartogràfica i Geofísica
Universitat Politècnica de Catalunya. Departament d'Enginyeria Hidràulica, Marítima i Ambiental
Probabilistic QPE
Radar ensamble
Radar QPE
Radar rainfall images
Variance inflation
Radar en la meteorologia |
| Tipus de document: | Article |
| Descripció: | For the purpose of generating meaningful stochastic ensembles of radar estimates of rainfall, a relatively simple and objective method of separating a radar rainfall image into signal and noise is described. An alternative noise field, with the same spectrum as the original noise, can then be
simulated and combined with the signal field of each successive image, to generate an ensemble member for performing sensitivity studies. The method is based on identifying the appropriate wavelength in the power spectrum which defines the variance threshold used to separate noise from signal. The algorithm is explained and figures illustrate the efficacy of the procedure. |
| Altres identificadors i accés: | Pegram, G.; Llort, X.; Sempere, D. Radar rainfall: separating signal and noise fields to generate meaningful ensembles. "Atmospheric research", Maig 2011, vol. 100, núm. 2-3, p. 226-236.
0169-8095
http://hdl.handle.net/2117/13090
10.1016/j.atmosres.2010.11.018 |
| Disponible al dipòsit: | E-prints UPC
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