ESTIMATION OF RAINFALL PROBABILITY, THROUGH THE USE OF NON PARAMETRIC STATISTICAL TECHNIQUES, APPLIED TO NUMERICAL SIMULATIONS OF WRF. A CASE OF STUDY

In this paper was used the kernel density estimation (KDE), a nonparametric method to estimate the probability density function of a random variable, to obtain a probabilistic precipitation forecast, from an ensemble prediction with the WRF model. The nine members of the prediction were obtained by...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Ciência e natura 2016-01, Vol.38 (IX WORKSHOP), p.491
Hauptverfasser:	Lissette Guzmán Rodríguez, Anabor, Vagner, Franciano Scremin Puhales, Everson Dal Piva
Format:	Artikel
Sprache:	por
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!