High resolution rapid refresh (HRRR): Recent enhancements and evaluation during the 2010 convective season
Curtis R. Alexander, NOAA/ESRL/GSD and CIRES / Univ. of Colorado, Boulder, CO; and S. S. Weygandt, T. G. Smirnova, S. Benjamin, P. Hofmann, E. P. James, and D. A. Koch
The first hourly updated, 3-km storm-resolving model, the HRRR (High-Resolution Rapid Refresh), is being run at NOAA/ESRL/GSD and is nested within the Rapid Update Cycle (RUC) and future Rapid Refresh (RR). The breakthrough with the HRRR is the development of an effective technique for assimilating 3-d radar reflectivity data in the 13km RUC and upcoming 13km Rapid Refresh using a version of the WRF model.
The HRRR relies on the RUC13 data assimilation, which includes radar reflectivity assimilation based on a digital filter initialization (DFI) technique. Use of the forward (diabatic) DFI inside the RUC (and in the future 13km Rapid Refresh) is shown to dramatically improve reflectivity forecasts from the HRRR.
The HRRR has considerable promise for short-range thunderstorm prediction and future warn-on-forecast applications. The HRRR has shown particular skill at accurately depicting storm mode (structure) and location. Also, the hourly output and hourly update frequency of the HRRR provide a large number predictors for the creation of a HRRR-based convective probability guidance product known as the HRRR convective probabilistic forecast (HCPF).
A description of the HRRR configuration will be provided along with case studies including 15-hour forecasts run hourly during the spring and summer of 2010 over the CONUS demonstrating the predictive skill of HRRR individual (deterministic) and time-lagged ensemble (probabilistic) forecasts. Future enhancements including radar assimilation at 3-km within the HRRR will also be discussed.
Session 9, Numerical Weather Prediction: Overview of Modeling/Assimilation Systems
Tuesday, 12 October 2010, 4:30 PM-6:15 PM, Grand Mesa Ballroom F
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