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First 1420 results for ” Schmeits”

1. 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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2. Technical description of the KNMI Rainfall Generators for the Rhine and Meuse basins

   This report gives a technical description of what is briefly known as the KNMI Rainfall (or Weath...

   Jules J. Beersma, T. Adri Buishand and Maurice J. Schmeits | Year: 2014 | Pages: 32

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3. 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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4. Rainfall generator for the Rhine basin: Description of simulations using gridded precipitation datasets and uncertainty analysis

   The rainfall generator has been used to generate long synthetic series of daily precipitation and...

   Maurice Schmeits, Erwin Wolters, Jules Beersma, Adri Buishand | Year: 2014 | Pages: 29

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5. Improving precipitation nowcasting for high-intensity events using deep generative models with balanced loss and temperature data: A case study in the Netherlands

   Precipitation nowcasting is essential for weather-dependent decision-making, but it remains a cha...

   Charlotte Cambier van Nooten, Koert Schreurs, Jasper S. Wijnands, Hidde Leijnse, Maurice Schmeits, Kirien Whan, Yuliya Shapovalova | Journal: Artificial Intelligence for the Earth Systems | Volume: 2 | Year: 2023 | First page: 1 | Last page: 16 | doi: https://doi.org/10.1175/AIES-D-23-0017.1

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