Articles | Volume 5, issue 1
18 Jun 2019
 | 18 Jun 2019

Skewed logistic distribution for statistical temperature post-processing in mountainous areas

Manuel Gebetsberger, Reto Stauffer, Georg J. Mayr, and Achim Zeileis

Model code and software

glogis: Fitting and testing generalized logistic distributions A. Zeileis and T. Windberger

Short summary
This article presents a method for improving probabilistic air temperature forecasts, particularly at Alpine sites. Using a nonsymmetric forecast distribution, the probabilistic forecast quality can be improved with respect to the common symmetric Gaussian distribution used. Furthermore, a long-term training approach of 3 years is presented to ensure the stability of the regression coefficients. The research was based on a PhD project on building an automated forecast system for northern Italy.