Probabilistic wind speed forecasting using parametric and non-parametric statistical post-processing methods

E. Ioannidis, K. Whan and M. Schmeits, Ministry of Infrastructure and Water Management, Royal Netherlands Meteorological Institute
De Bilt : KNMI
2019

Probabilistic wind speed forecasts are generated in this study using parametric and non-parametric statistical post-processing (also called calibration) methods. The data concern 10 ensemble members of 10m wind speed which are derived from the non-hydrostatic Harmonie MetCoop ensemble prediction system (HarmonieMEPS; run by Met Norway and SMHI (Sweden)) and observations from stations covering Denmark and the surrounding areas for the period December 2016-2017. We have used HarmonieMEPS data, as HarmonieMEPS has been running operationally since autumn 2016, while HarmonieKEPS (where K stands for KNMI) has been running experimentally at KNMI only since winter 2017.

78 p.
Fig., tab.
(Internal report ; 2018-07)
With ref.
KNMIAUT2019