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First 1558 results for ” Fabrice Collard”

  1. Quality and Assimilation of Radar Data for NWP - a Review

    The COST-717 Action entitled ``Use of Radar Observations in Hydrological and NWP models'' offers ...

    PP Alberoni, V Ducrocq, G Gregoric, G Haase, I Holleman, M Lindskog, B MacPherson, M Nuret, A Rossa | Year: 2003

    Publication

  2. Weather Radar Data Quality in Europe: Quality Control and Characterization

    D Michelson, T Einfalt, I Holleman, U Gjertsen, K Friedrich, G Haase, M Lindskog, A Jurczyk | Year: 2005

    Publication

  3. HighResMIP versions of EC-Earth: EC-Earth3P and EC-Earth3P-HR – description, model computational performance and basic validation

    A new global high-resolution coupled climate model, EC-Earth3P-HR has been developed by the EC-Ea...

    R Haarsma, M Acosta, R Bakhshi, P-A Bretonnière, L-P Caron, M Castrillo, S Corti, P, Davini, E Exarchou, F Fabiano, U Fladrich, R Fuentes Franco, J García-Serrano, J von Hardenberg, T Koenigk, X Levine, VL Meccia, T van Noije, G van den Oord, FM Palmeiro, M Rodrigo, Y Ruprich-Robert, P Le Sager, E Tourigny, S Wang, M van Weele, K Wyser | Status: published | Journal: Geosci. Model Dev. | Volume: 13 | Year: 2020 | First page: 3507 | Last page: 3527 | doi: 10.5194/gmd-13-3507-2020

    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