-
Statistical Postprocessing of Wind Speed Forecasts Using Convolutional Neural Networks
Current statistical postprocessing methods for probabilistic weather forecasting are not capable ...
Veldkamp, S., Whan, K., Dirksen, S., and Schmeits, M. | Journal: Monthly Weather Review | Volume: 149 | Year: 2021 | First page: 1141 | Last page: 1152 | doi: 10.1175/MWR-D-20-0219.1
Publication
-
Advisory Board report: towards the KNMI ’13 scenarios
The members of the Advisory Board for the next generation KNMI climate scenarios met in De Bilt, ...
Advisory Board KNMI'13-scenario's | Year: 2012 | Pages: 37
Publication
-
Model verticale windsnelheid
In dit afstudeerverslag is een methode onderzocht om een profiel van de verticale windsnelheid la...
M Hoogendijk | Journal: afstudeerverslag Fontys | Year: 2014 | First page: 1 | Last page: 80
Publication
-
Milestone M5.2: Prototype of an automatic system for forecast quality assessment of seasonal-to-decadal hindcasts
Even more than in weather forecasts, the skill of seasonal forecasts depends very strongly on the...
GJ van Oldenborgh, CAS Coelho | Year: 2006
Publication
-
Comparison of statistical post-processing methods for probabilistic NWP forecasts of solar radiation
The increased usage of solar energy places additional importance on forecasts of solar radiation....
K Bakker, K Whan, W Knap, M Schmeits | Status: published | Journal: Solar Energy | Volume: 191 | Year: 2019 | First page: 138 | Last page: 150 | doi: 10.1016/j.solener.2019.08.044
Publication
