Comparison of non-homogeneous regression models for probabilistic wind speed forecasting

In weather forecasting, non-homogeneous regression (NR) is used to statistically post-process forecast ensembles in order to obtain calibrated predictive distributions. For wind speed forecasts, the regression model is given by a truncated normal (TN) distribution, where location and spread derive f...

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Hlavní autoři: Sebastian Lerch, Thordis L. Thorarinsdottir
Médium: Artigo
Jazyk:Inglês
Vydáno: Stockholm University Press 2013-11-01
Edice:Tellus: Series A, Dynamic Meteorology and Oceanography
Témata:
ensemble post-processing
non-homogeneous regression
predictive distribution
probabilistic forecasting
weather forecasting
wind speed
On-line přístup:http://www.tellusa.net/index.php/tellusa/article/download/21206/pdf_1
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