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Don Morton 1 , Kayla Harrison 1 , Brad Zavodsky 2 , Shih-Hung Chou 2 , Ming Hu 3

Assessment of data assimilation with the prototype High Resolution Rapid Refresh for Alaska (HRRRAK). Don Morton 1 , Kayla Harrison 1 , Brad Zavodsky 2 , Shih-Hung Chou 2 , Ming Hu 3 1 Arctic Region Supercomputing Center, University of Alaska Fairbanks, Fairbanks, Alaska USA

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Don Morton 1 , Kayla Harrison 1 , Brad Zavodsky 2 , Shih-Hung Chou 2 , Ming Hu 3

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  1. Assessment of data assimilation with the prototype High Resolution Rapid Refresh for Alaska (HRRRAK) Don Morton1, Kayla Harrison1, Brad Zavodsky2, Shih-Hung Chou2 , Ming Hu3 1Arctic Region Supercomputing Center, University of Alaska Fairbanks, Fairbanks, Alaska USA 2NASA Short-term Prediction Research and Transition Center, Huntsville, Alabama USA 3Developmental Testbed Center, National Center for Atmospheric Research, Boulder Colorado USA Introduction The Arctic Region Supercomputing Center has been running a prototype of the High Resolution Rapid Refresh for Alaska (HRRRAK) at 3 km resolution, initialized by the 13 km Rapid Refresh (RR). Although the RR assimilates observations into its analyses, experiments with the HRRRAK suggest that there is added value in assimilating additional observations into the initial conditions. The work described here results from a project sponsored by the Developmental Testbed Center (DTC) to improve the operational presence of the HRRRAK through the use of Model Evaluation Tools (MET) for verification and Gridpoint Statistical Interpolation (GSI) for data assimilation. The primary intent has been to deploy MET for automated verification of real-time HRRRAK forecasts, and then add a GSI-assimilated HRRRAK into the mix. Additional support for the work came from the Alaska NASA EPSCoR to promote collaboration with NASA groups, and this led to partnership with the NASA Short-term Prediction Research and Transition (SPoRT) Center. The NASA SPoRT group has been using data from the Atmospheric Infrared Sounder (AIRS) in Weather Research and Forecasting (WRF) model simulations in the CONUS with promising results. The sounder is aboard NASA’s Aqua satellite, and provides vertical profiles of temperature and humidity. The Gridpoint Statistical Interpolation (GSI) system is used to assimilate these vertical profiles into model forecasts. Accomplishments 1: Operational verfiication of each forecast against obs for crude spot checking. Raw data and statistics are archived for future use. 2: Testing of GSI in case study. Control vs radiances vs profiles 3: Incorporation into operational…. Verification Post Processing GDAS prepbufr HRRRAK netcdf wrfout files U Wyoming Raobs Raobs vs HRRRAK Soundings WRF postprocessor (wrfout2grib) FetchPREPBUFRAndDecode (used PB2NC) • R Scripts • Boxplots • Station time series • Scatter plots GDAS netCDF HRRRAK GRIB1 Web graphics with menu pointstat output RunForecastPointStat Archived long-term Future Work Blah blah blah FH24 Control-GDAS+radiances and profiles FH24 Control-GDAS+radiances and profiles FH00 and FH24 Control-GDAS FH00 and FH24 Control-GDAS+radiances Goals Prepare an automated verification system based on MET, providing simple capabilities to compare individual forecasts against observations Perform initial tests on the GSI-assimilation of NASA AIRS data in the HRRRAK model Incorporate the AIRS data into an operational HRRRAK for side by side comparison with the non-assimilated forecasts FH00 and FH24 Control-GDAS+profiles Acknowledgements This work was supported by the Developmental Testbed Center. Additional supported provided by the Alaska NASA EPSCoR Program and the Arctic Region Supercomputing Center at the University of Alaska Fairbanks. Special thanks to NASA SPoRT for collaboration efforts during this project. FIND DTC LOGO Figure 4:

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