10.4 The 200-Member West-WRF Near Real-Time Forecast Ensemble

Wednesday, 19 July 2023: 12:00 PM
Madison Ballroom B (Monona Terrace)
Daniel F. Steinhoff, Center for Western Weather and Water Extremes, Scripps Institution of Oceanography, Univ. of California San Diego, San Diego, CA

The Center for Western Weather and Water Extremes (CW3E) has developed a customized version of the Weather Research and Forecasting model (WRF), named West-WRF, that is run in near-real-time (NRT) forecast mode in support of decision making and scientific research of extreme weather events over the Western U.S. The West-WRF NRT framework is used to generate a 200-member ensemble that provides gridded model forecasts tailored for the representation of atmospheric rivers and Western U.S. precipitation. It is run daily from October through March with a 0000 UTC initialization out to 7 day forecast lead time. A single 9-km domain covers much of Western North America and the Northeastern Pacific, and the 60 vertical levels use a configuration customized for optimal resolution of atmospheric river processes. A combination of initial and lateral boundary conditions from the Global Ensemble Forecast System (GEFS) and European Centre for Medium-Range Weather Forecasts (ECMWF) ensemble are used to initialize the ensemble. Additional ensemble perturbations are introduced through multi-physics (100 unique combinations) and stochastic kinetic energy backscatter (SKEB). Performance of the 200-member West-WRF NRT ensemble forecast products during the 2022-2023 season, across a range of metrics and meteorological features, will be discussed. CW3E has also developed novel deep learning-based post-processing methods for the 200-member West-WRF NRT ensemble, for which results show promising applications towards improving predictability of precipitation across the Western U.S.
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