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First 4412 results for ” and Maurice Schmeits”

  1. Rainfall generator for the Meuse basin: Description of simulations with and without a memory term and uncertainty analysis

    The rainfall generator has been developed to generate long synthetic sequences of daily precipita...

    Maurice Schmeits, Jules Beersma, Adri Buishand | Year: 2014 | Pages: 21

    Publication

  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

    Publication

  3. 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

    Publication

  4. 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

    Publication

  5. Using Explainable Machine Learning Forecasts to Discover Subseasonal Drivers of High Summer Temperatures in Western and Central Europe

    Reliable subseasonal forecasts of high summer temperatures would be very valuable for society. Al...

    Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Journal: Monthly Weather Review | Volume: 150 | Year: 2022 | First page: 1115 | Last page: 1134 | doi: https://doi.org/10.1175/MWR-D-21-0201.1

    Publication