P5     Assessment of Data Assimilation with the Prototype High     Resolution Rapid Refresh for Alaska (HRRRAK)

Morton, Don, Kayla Harrison, Arctic Region Supercommuting Center, University of Alaska, Brad Zavodsky, Shih-Hung Chou, NASA Short-term Prediction Research and Transition Center, Ming Hu, Developmental Testbed Center

The Arctic Region Supercomputing Center has been running a quasi-operational prototype of a High Resolution Rapid Refresh for Alaska (HRRRAK) at 3km resolution, initialized by the 13km Rapid Refresh (RR). Although the RR assimilates a broad range of observations into its analyses, experiments with the HRRRAK suggest that there may be added value in assimilating observations into the 3km initial conditions, downscaled from the 13km RR analyses. The NASA Short-term Prediction Research and Transition (SPoRT) group has been using assimilated data from the Atmospheric Infrared Sounder (AIRS) in WRF and WRF-Var simulations since 2004 with promising results. The sounder is aboard NASAÕs Aqua satellite, and provides vertical profiles of temperature and humidity. The Gridpoint Statistical Interpolation (GSI) system is then used to assimilate these vertical profiles into WRF HRRRAK forecasts. In this work, we perform a preliminary assessment of the use of AIRS data by comparing non-assimilated real-time HRRRAK forecasts with otherwise identical AIRS-assimilated forecasts.