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First 784 results for ” P Meijer”

  1. A regional model of European aerosol transport: Evaluation with sun photometer, lidar and air quality data

    J Meier, I Tegen, I Mattis, R Wolke, L Alados-Arbroledas, A Apituley, D Balis, F Barnaba, A Chaikovsky, M Sicard, G Pappalardo, A Pietruczuk, D Stoyanov, F Ravetta, V Rizi | Status: published | Journal: Atmos. Environm. | Year: 2011 | doi: doi:10.1016/j.atmosenv.2011.09.029

    Publication

  2. Land-atmosphere feedbacks amplify aridity increase over land under global warming

    The response of the terrestrial water cycle to global warming is central to issues including wate...

    Berg, Findell, Lintner, Giannini, Seneviratne, Hurk, Lorenz, Pitman, Hagemann, Meier, Cheruy, Ducharne, Malyshev, Milly | Status: published | Journal: Nature Climate Change | Year: 2016 | First page: 869 | Last page: 874 | doi: 10.1038/nclimate3029

    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

    Publication

  4. Forecasting day-ahead 1-minute irradiance variability from numerical weather predictions

    Accurate forecasts of solar irradiance are required for the large-scale integration of solar phot...

    Frank P.M. Kreuwel, Wouter Knap, Maurice Schmeits, Jordi Vilà-Guerau de Arellano, Chiel C. van Heerwaarden | Journal: Solar Energy | Volume: 258 | Year: 2023 | First page: 57 | Last page: 71 | doi: https://doi.org/10.1016/j.solener.2023.04.050

    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