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The High-Resolution Rapid Refresh is a NOAA/NCEP operational weather prediction system comprised of a numerical forecast model and an analysis/assimilation system to initialize the model. It is run with a horizontal resolution of 3 km and has 50 vertical levels.
The HRRR was developed to serve users needing frequently updated high-resolution short-range weather forecasts, especially those in the US severe weather forecasting community. The model is run every hour of day and is integrated to 15 hours for each cycle. The HRRR performs a 1-hour spinup using a first guess from the RAP and then assimilates radar reflectivity data every 15 minutes during the spinup forecast. This is followed by a Gridpoint Statistical Interpolation (GSI) analysis. The assimilation of radar data combined with the GSI assimilation of cloud and hydrometeor data provides significant skill in short-range cloud and precipitation forecasts. The forecast model is the ARW core of the WRF model, and output is generated every 15 minutes during the forecast.
Full 3-dimensional upper level fields are not being provided for the HRRR, as there is little relevant synoptic-scale information gained from the resolution difference between the HRRR and its parent, the RAP. The HRRR should be primarily used to examine surface, near-surface, and column parameters. For those interested in upper-level analyses and short-range forecasts, we recommend using the RAP grids that are available on NOMADS.