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First 690 results for ” FG Wienhold”

  1. Boreal-forest surface parameterisation in the ECMWF model - 1D test with Nopex longterm data

    D Gustafsson, E Lewan, BJJM van den Hurk, P Viterbo, A Grelle, A Lindroth, E Cienciala, M Moelders, S Halldin, LC Lundin | Status: published | Journal: J. Appl. Meteorol. | Volume: 42 | Year: 2003 | First page: 95 | Last page: 112

    Publication

  2. Implications for prediction and hazard assessment from the 2004 Parkfield earthquake

    WH Bakun, B Aagaard, B Dost, WL Ellsworth, JL Hardebeck, RA Harris, C Ji, MJS Johnston, J Langbein, JJ Lienkaemper, AJ Michael, JR Murray, RM Nadeau, PA Reasenberg, MS Reichle | Status: published | Journal: Nature | Volume: 437 | Year: 2005 | First page: 969 | Last page: 974 | doi: doi:10.1038/nature04067

    Publication

  3. Summertime aerosol radiative effects and their dependence on temperature over the Southeastern USA

    T Mielonen, A Hienola, T Kühn, J Merikanto, A Lipponen, T Bergman, H Korhonen, P Kolmonen, L Sogacheva, D Ghent, M Pitkänen, A Arola, G de Leeuw, H Kokkola | Status: published | Journal: Atmosphere | Volume: 9 | Year: 2018 | First page: 180 | doi: 10.3390/atmos9050180

    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