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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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The impact of aerosol vertical distribution on aerosol optical depth retrieval using CALIPSO and MODIS data: case study over dust and smoke regions
Global quantitative aerosol information has been derived from MODerate Resolution
Imaging Spectro...
Wu, M de Graaf, M Menenti | Status: published | Journal: J. Geophys. Res. | Volume: 122 | Year: 2017 | First page: 8801 | Last page: 8815 | doi: 10.1002/2016JD026355
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The impact of hydrological model structure on the simulation of extreme runoff events
Hydrological extremes affect societies and ecosystems around the world in many ways, stressing th...
G van Kempen, K van der Wiel, LA Melsen | Journal: Natural Hazards and Earth System Sciences | Volume: 21 | Year: 2021 | First page: 961 | Last page: 976 | doi: 10.5194/nhess-21-961-2021
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Performance assessment of geophysical instrumentation through the automated analysis of power spectral density estimates
This study describes an automated data quality verification procedure supported by a database of ...
Mathijs Koymans, Jordi Domingo-Ballesta, Elmer Ruigrok, Reinoud Sleeman, Luca Trani, Läslo Evers | Journal: Earth and Space Science | Volume: 8 | Year: 2021 | doi: https://doi.org/10.1029/2021EA001675
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