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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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Radar performance monitoring using the angular width of the solar image
A method for the operational monitoring of the weather radar antenna mechanics and signal process...
A Huuskonen, M Kurri, H Hohti, H Beekhuis, H Leijnse, I Holleman | Status: published | Journal: J. Atm. Oceanic Technol. | Volume: 31 | Year: 2014 | First page: 1704 | Last page: 1712 | doi: 10.1175/JTECH-D-13-00246.1
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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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Implementation of scatterometer wind processing at KNMI - final report
Scatterometers provide accurate and spatially consistent near-surface wind information.
Hardware...
Ad Stoffelen, Tilly Driesenaar, Jeroen Beysens | Year: 2003
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