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First 50 results for ” PM Woiceshyn”

  1. Constraining global methane emissions and uptake by ecosystems

    R Spahni, R Wania, L Neef, M van Weele, I Pison, P Bousquet, C Frankenberg, PN Foster, F Joos, IC Prentice, PFJ van Velthoven | Status: published | Journal: Biogeosciences | Year: 2011 | First page: 1643 | Last page: 1665 | doi: 10.5194/bg-8-1643-2011

    Publication

  2. A multidecadal assessment of climate indices over Europe.

    Monitoring and management of several environmental and socioeconomic sectors require climate data...

    Domínguez-Castro F, Reig F, Vicente-Serrano SM, Aguilar E, Peña-Angulo D, Noguera I, Revuelto J, van der Schrier G, El Kenawy AM | Journal: Scientific Data | Volume: 28 | Year: 2020 | First page: 1 | Last page: 7 | doi: https://doi.org/10.6084/m9.figshare.12029427

    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