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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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Implementing FAIR data principles in the IPCC seventh assessment cycle: Lessons learned and future prospects
Every five to seven years, the Intergovernmental Panel on Climate Change (IPCC) convenes the clim...
Martina Stockhause, Alessandro Spinuso | Journal: PLOS Climate | Volume: 3(12) | Year: 2024 | doi: https://doi.org/10.1371/journal.pclm.0000533
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Solar radiation nowcasting based on geostationary satellite images and deep learning models
Reliable solar radiation and photovoltaic power prediction is essential for the safe and stable o...
Yang Cui, Ping Wang, Jan Fokke Meirink, Nikolaos Ntantis, Jasper S. Wijnands | Journal: Solar Energy | Volume: 282 | Year: 2024 | First page: 112866 | doi: https://doi.org/10.1016/j.solener.2024.112866
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