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De eerste 784 resultaten worden getoond op ” C Zhang”

  1. 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

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  2. Correcting Subseasonal Forecast Errors with an Explainable ANN to Understand Misrepresented Sources of Predictability of European Summer Temperatures

    Subseasonal forecasts are challenging for numerical weather prediction (NWP) and machine learning...

    Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Journal: Artif. Intell. Earth Syst. | Volume: 2 | Year: 2023 | doi: https://doi.org/10.1175/AIES-D-22-0047.1

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  3. Strengthening gradients in the tropical west Pacific connect to European summer temperatures on sub-seasonal timescales

    Recent work has shown that (sub-)seasonal variability in tropical Pacific convection, closely lin...

    Chiem van Straaten, Dim Coumou, Kirien Whan, Bart van den Hurk, and Maurice Schmeits | Journal: Weather and Climate Dynamics | Volume: 4 | Year: 2023 | First page: 887 | Last page: 903 | doi: https://doi.org/10.5194/wcd-4-887-2023

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  4. From proof-of-concept to proof-of-value: Approaching third-party data to operational workflows of national meteorological services

    National meteorological services (NMS) are limited by practical and financial boundaries in the n...

    Irene Garcia-Marti Aart Overeem Jan Willem Noteboom Lotte de Vos Marijn de Haij Kirien Whan | Journal: International Journal of Climatology | Year: 2022 | First page: 1 | Last page: 18 | doi: 10.1002/joc.7757

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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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