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First 1474 results for ”M. Schenkels”

1. Comprehensive evaluation of the Copernicus Atmosphere Monitoring Service (CAMS) reanalysis against independent observations: Reactive gases

   The Copernicus Atmosphere Monitoring Service (CAMS) is operationally providing forecast and reana...

   Wagner, A., Bennouna, Y., Blechschmidt, A.-M., Brasseur, G., Chabrillat, S., Christophe, Y., Errera, Q., Eskes, H., Flemming, J., Hansen, K. M., Inness, A., Kapsomenakis, J., Langerock, B., Richter, A., Sudarchikova, N., Thouret, V., Zerefos, C. | Journal: Elementa: Science of the Anthropocene | Volume: 9 | Year: 2021 | First page: 00171 | doi: 10.1525/elementa.2020.00171

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2. Contribution of Dynamic Vegetation Phenology to Decadal Climate Predictability

   In this study, the impact of coupling and initializing the leaf area index from the dynamic veget...

   M Weiss, PA Miller, BJJM van den Hurk, T van Noije, S Ştefănescu, RJ Haarsma, LH van Ulft, W Hazeleger, P Le Sager, B Smith, G Schurgers | Status: published | Journal: J. Clim. | Volume: 27 | Year: 2014 | First page: 8563 | Last page: 8577 | doi: 10.1175/JCLI-D-13-00684.1

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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. 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

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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

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