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First 2759 results for ”RMW Overwater”

  1. Detecting Clouds Associated with Jet Engine Ice Crystal Icing

    In the past two decades over 150 jet engine power-loss and damage events have been attributed to ...

    J Haggerty, E Defer, ATJ de Laat, K Bedka, JM Moisselin, J Delanoe, F Parol, A Grandin, S Devito | Status: published | Journal: Bull. Amer. Meteor. Soc. | Volume: 1 | Year: 2019 | First page: 31 | Last page: 40 | doi: https://doi.org/10.1175/BAMS-D-17-0252.1

    Publication

  2. Impact of ASCAT Scatterometer Wind Observations on the High-Resolution Limited-Area Model (HIRLAM) within an Operational Context

    Denial experiments, also denoted observing system experiments (OSEs), are used to determine the i...

    S de Haan, GJ Marseille, P de Valk, J de Vries | Status: published | Journal: Weather and Forecasting | Year: 2013 | doi: https://doi.org/10.1175/WAF-D-12-00056.1

    Publication

  3. Quantifying uncertainties due to chemistry modelling – evaluation of tropospheric composition simulations in the CAMS model (cycle 43R1)

    We report on an evaluation of tropospheric ozone and its precursor gases in three atmospheric che...

    V Huijnen, A Pozzer, J Arteta, G Brasseur, I Bouarar, S Chabrillat, Y Christophe, T Doumbia, J Flemming, J Guth, B Josse, V Karydis, V Marecal, S Pelletier | Status: published | Journal: Geoscientific Model Development | Volume: 12 | Year: 2019 | First page: 1725 | Last page: 1752 | doi: https://doi.org/10.5194/gmd-12-1725-2019

    Publication

  4. Sensitivity of liquid cloud optical thickness and effective radius retrievals to cloud bow and glory conditions using two SEVIRI imagers

    Retrievals of cloud properties from geostationary satellite sensors offer extensive spatial and t...

    N Benas, JF Meirink, M Stengel, P Stammes | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 12 | Year: 2019 | First page: 2863 | Last page: 2879 | doi: 10.5194/amt-12-2863-2019

    Publication

  5. Comparing Area Probability Forecasts of (Extreme) Local Precipitation Using Parametric and Machine Learning Statistical Postprocessing Methods

    Probabilistic forecasts, which communicate forecast uncertainties, enable users to make better we...

    KRP Whan, MJ Schmeits | Status: published | Journal: Mon. Wea. Rev. | Volume: 146 | Year: 2018 | First page: 3651 | Last page: 3673 | doi: 10.1175/MWR-D-17-0290.1

    Publication