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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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Intercomparison of daytime stratospheric NO2 satellite retrievals and model simulations
This paper evaluates the agreement between stratospheric NO2 retrievals from infrared limb sounde...
M Belmonte Rivas, P Veefkind, F Boersma, P Levelt, H Eskes, J Gille | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 7 | Year: 2014 | First page: 2203 | Last page: 2225 | doi: 10.5194/amt-7-2203-2014
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