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On the forecast skill of a convection-permitting ensemble

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      Abstract

      <p><strong>Abstract.</strong> The 2.5<span class="thinspace"></span>km convection-permitting (CP) ensemble AROME-EPS (Applications of Research to Operations at Mesoscale – Ensemble Prediction System) is evaluated by comparison with the regional 11<span class="thinspace"></span>km ensemble ALADIN-LAEF (Aire Limitée Adaption dynamique Développement InterNational – Limited Area Ensemble Forecasting) to show whether a benefit is provided by a CP EPS. The evaluation focuses on the abilities of the ensembles to quantitatively predict precipitation during a 3-month convective summer period over areas consisting of mountains and lowlands. The statistical verification uses surface observations and 1<span class="thinspace"></span>km<span class="thinspace"></span> × <span class="thinspace"></span>1<span class="thinspace"></span>km precipitation analyses, and the verification scores involve state-of-the-art statistical measures for deterministic and probabilistic forecasts as well as novel spatial verification methods. The results show that the convection-permitting ensemble with higher-resolution AROME-EPS outperforms its mesoscale counterpart ALADIN-LAEF for precipitation forecasts. The positive impact is larger for the mountainous areas than for the lowlands. In particular, the diurnal precipitation cycle is improved in AROME-EPS, which leads to a significant improvement of scores at the concerned times of day (up to approximately one-third of the scored verification measure). Moreover, there are advantages for higher precipitation thresholds at small spatial scales, which are due to the improved simulation of the spatial structure of precipitation.</p>

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          VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY

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            Author and article information

            Journal
            Geoscientific Model Development
            Geosci. Model Dev.
            Copernicus GmbH
            1991-9603
            2017
            January 03 2017
            : 10
            : 1
            : 35-56
            10.5194/gmd-10-35-2017
            © 2017

            https://creativecommons.org/licenses/by/3.0/

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