Reforecasting Two Heavy-Precipitation Events with Three Convection-Permitting Ensembles

نویسندگان

چکیده

Abstract We investigate the potential added value of running three limited-area ensemble systems (with WRF, Meso-NH, and MOLOCH models a grid spacing approximately 2.5 km) for two heavy-precipitation events in Italy. Such high-resolution ensembles include an explicit treatment convective processes dynamically downscale ECMWF global predictions, which have 18 km. The predictions are verified against rain gauge data, their accuracy is evaluated over that driving coarser-resolution system. Furthermore, we compare simulation speed (defined as ratio length to wall-clock time) estimate computational effort operational convection-permitting forecasting. also study how time scales with increasing numbers computing elements (from 36 1152 cores). Objective verification methods generally show forecasts outperform both events, although precipitation peaks remain largely underestimated one events. Comparing speeds, model fastest Meso-NH slowest one. WRF Model attains efficient scalability, whereas it limited when using more than 288 cores. finally demonstrate has largest impact on joint evaluation performance because ensembles, amplifying forecasting capability does not differ substantially.

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ژورنال

عنوان ژورنال: Weather and Forecasting

سال: 2021

ISSN: ['0882-8156', '1520-0434']

DOI: https://doi.org/10.1175/waf-d-20-0130.1