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Statistical Postprocessing of Wind Speed Forecasts Using Convolutional Neural Networks
Current statistical postprocessing methods for probabilistic weather forecasting are not capable ...
Veldkamp, S., Whan, K., Dirksen, S., and Schmeits, M. | Journal: Monthly Weather Review | Volume: 149 | Year: 2021 | First page: 1141 | Last page: 1152 | doi: 10.1175/MWR-D-20-0219.1
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Detection of Cb and TCu clouds using MSG-SEVIRI cloud physical properties and weather radar observations
Deep convective clouds, such as Towering Cumulus (TCu) and Cumulonimbus (Cb) clouds, may pose a s...
CK Carbajal Henken, MJ Schmeits, ELA Wolters, RA Roebeling | Year: 2009 | Pages: 0
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The US Maury Collection Metadata 1796-1861
The U.S. Maury Collection (1796 1861), further denoted as MC, has been digitized in China during ...
Hendrik Wallbrink, Frits Koek, Theo Brandsma | Year: 2009 | Pages: 59
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The influence of aggregation and statistical post‐processing on the subseasonal predictability of European temperatures
The succession of European surface weather patterns has limited predictability because disturbanc...
C van Straaten, K Whan, D Coumou, B van den Hurk, M Schmeits | Status: published | Journal: Quart. J. Royal Meteor. Soc. | Volume: 146 | Year: 2020 | First page: 2654 | Last page: 2670 | doi: 10.1002/qj.3810
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Seasonal Streamflow Forecasting for Fresh Water Reservoir Management in the Netherlands: An Assessment of Multiple Prediction Systems
For efficient management of the Dutch surface water reservoir Lake IJssel, (sub)seasonal forecast...
Hurkmans, R. T. W. L., B. van den Hurk, M. Schmeits, F. Wetterhall, and I. G. Pechlivanidis | Journal: J. Hydrometeor. | Volume: 24 | Year: 2023 | First page: 1275 | Last page: 1290 | doi: https://doi.org/10.1175/JHM-D-22-0107.1
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