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First 1620 results for ” J Griesfeller”

  1. 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

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  2. How to Provide Useful Attribution Statements: Lessons Learned from Operationalizing Event Attribution in Europe

    In the immediate aftermath of an extreme weather or climate-related event, the question is invari...

    Friederike E. L. Otto, Sarah Kew, Sjoukje Philip, Peter Stott, and Geert Jan Van Oldenborgh | Journal: BAMS | Volume: 103 | Year: 2022 | First page: S21 | Last page: S25 | doi: https://doi.org/10.1175/BAMS-D-21-0267.1

    Publication

  3. 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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  4. Short- and Long-Term Variations in the Reykjanes Geothermal Reservoir From Seismic Noise Interferometry

    The Reykjanes Geothermal System (RGS) is a high-temperature geothermal system located on the Reyk...

    Pilar Sánchez-Pastor, Anne Obermann, Martin Schimmel, Cornelis Weemstra, Arie Verdel, Philippe Jousset | Journal: Geophysical Research Letters | Volume: 46 | Year: 2019 | First page: 5788 | Last page: 5798 | doi: https://doi.org/10.1029/2019GL082352

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  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