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Evaluationofthreemainstreamnumericalweatherprediction modelswithobservationsfrommeteorological mastIJmuidenattheNorthSea
Numerical weather prediction models play an important role in the field of wind energy, for examp...
PC Kalverla, GJ Steeneveld, RJ Ronda, AAM Holtslag | Status: published | Journal: Wind Energy | Year: 2018 | doi: https://doi.org/10.1002/we.2267
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Comparing Area Probability Forecasts of (Extreme) Local Precipitation Using Parametric and Machine Learning Statistical Postprocessing Methods
Probabilistic forecasts, which communicate forecast uncertainties, enable users to make better we...
KRP Whan, MJ Schmeits | Status: published | Journal: Mon. Wea. Rev. | Volume: 146 | Year: 2018 | First page: 3651 | Last page: 3673 | doi: 10.1175/MWR-D-17-0290.1
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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
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Higher-order calibration on WindRAD (Wind Radar) scatterometer winds
WindRAD (Wind Radar) is a dual-frequency rotating fan-beam scatterometer instrument on the FY-3E ...
Zhen Li, Ad Stoffelen, Anton Verhoef, Zhixiong Wang, Jian Shang, Honggang Yin | Journal: Atmospheric Measurement Techniques | Volume: 16 | Year: 2023 | First page: 4769 | Last page: 4783 | doi: https://doi.org/10.5194/amt-16-4769-2023
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Forecasting day-ahead 1-minute irradiance variability from numerical weather predictions
Accurate forecasts of solar irradiance are required for the large-scale integration of solar phot...
Frank P.M. Kreuwel, Wouter Knap, Maurice Schmeits, Jordi Vilà-Guerau de Arellano, Chiel C. van Heerwaarden | Journal: Solar Energy | Volume: 258 | Year: 2023 | First page: 57 | Last page: 71 | doi: https://doi.org/10.1016/j.solener.2023.04.050
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