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First 3192 results for ” V Forneris”

  1. An evaluation of the KNMI operational wave model Gono for the period October 1980-April 1981

    An evaluation of the KNMI operational wave model Gono for the period October 1980-April 1981

    E. Bouws, G.J. Komen, R.A. van Moerkerken, H.H. Peeck, M.J.M. Saraber | Year: 1982 | Pages: 95

    Publication

  2. Detection of aerosol and cloud features for the EarthCARE atmospheric lidar (ATLID): the ATLID FeatureMask (A-FM) product

    The EarthCARE satellite mission's objective is to retrieve profiles of aerosol and cloud physical...

    Gerd-Jan van Zadelhoff; David P. Donovan; Ping Wang | Journal: Atmospheric Measurement Techniques | Volume: 16 | Year: 2023 | First page: 3631 | Last page: 3651 | doi: 10.5194/amt-16-3631-2023

    Publication

  3. 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

  4. Surface solar radiation forecasts by advecting cloud physical properties derived from Meteosat Second Generation observations

    A surface solar radiation forecast algorithm is developed using cloud physical properties from th...

    Wang, P., van Westrhenen, R., Meirink, J. F., van der Veen, S., and Knap, W | Journal: Solar Energy | Volume: 177 | Year: 2019 | doi: https://doi.org/10.1016/j.solener.2018.10.073

    Publication

  5. Surface solar radiation forecasts by advecting cloud physical properties derived from Meteosat Second Generation observations

    A surface solar radiation forecast algorithm is developed using cloud physical properties from th...

    Wang, P., R.M. van Westrhenen, J.F. Meirink, S.H. van der Veen and W.H. Knap | Journal: Solar Energy | Year: 2018 | doi: https://doi.org/10.1016/j.solener.2018.10.073

    Publication