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First 927 results for ”N de Noblet-Decoudre”

  1. 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

    Publication

  2. KNMI Specials - wat gebeurt er nu het ijs in het noordpoolgebied smelt?

    Online KNMI special/ magazine over klimaatverandering in het noordpoolgebied.   https://magazi...

    KNMI in samenwerking met het Ministerie van Buitenlandse Zaken, Rijksuniversiteit Groningen, Wageningen Economic Research en Wageningen Marine Research. | Year: 2020 | Pages: nvt

    Publication

  3. Should seasonal forecasts be used for flood preparedness?

    Should seasonal forecasts be used for flood preparedness? Erin Coughlan de Perez, Elisabeth Step...

    E Coughlan de Perez, E Stephens, K Bischiniotis, M van Aalst, BJJM van den Hurk, S Mason, H Nissan, F Pappenberger | Status: accepted | Journal: Hydrology and Earth System Sciences | Volume: 21 | Year: 2017 | doi: https://doi.org/10.5194/hess-21-4517-2017

    Publication

  4. 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

  5. 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

    Publication