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Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations. Cliff Mass and David Ovens University of Washington Seattle, Washington. Is there an easy way to get beyond cold starts?. For many WRF applications, users take either of two routes:

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Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

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  1. Getting Beyond Cold Starts:Improving WRF Forecasts with Rapid Refresh Initializations Cliff Mass and David Ovens University of Washington Seattle, Washington

  2. Is there an easy way to get beyond cold starts? • For many WRF applications, users take either of two routes: • Cold start using GFS, ECMWF, or other operational model grids • High-resolution data assimilation using local data assets using WRFDA, DART EnKF, or something else. • Today, there is potentially another possibility over much of North America: high-resolution initialization using NOAA Rapid Refresh grids.

  3. Mesoscale Data Assimilation: Why not let someone else do the hard work? • The NOAA/NWS runs the Rapid Refresh (RR) and High Resolution Rapid Refresh (HRRR) systems hourly, completing analyses and short-term forecasts. • RR: 13 km grid spacing, 18 hr forecast • HRRR, 3-km grid spacing, 15 hr forecast • Both make use a wide variety of mesoscale data sources, including radar, satellite, mesonets, soundings, aircraft data, and more.

  4. Rapid Refresh

  5. HRRR

  6. Rapid Refresh for WRF Initialization • My perception is that Rapid Refresh has become substantially more realistic and skillful during the last few years. • But one is hard pressed to prove this from stats on their web site! • The 3-D grids are available. • So why not try using RR grids for initialization of WRF?

  7. June 3, 2014 21 UTC A test: Can mesoscale initialization from RR help with coastal stratus, major problem for the Northwest real-time WRF?

  8. Three Runs • UW Real-time WRF initialized with GFS using YSU PBL, Thompson Microphysics, NOAA LSM, SAS Cumulus Param. ,RRTM radiation • UW Real-Time WRF with same physics, but initialized with Rapid Refresh grids • WRF with RUC physics and Rapid Refresh initialization (RUC LSM, MYNN PBL, Grell CU, Thompson Micro)

  9. GFS Initialization

  10. Using Rapid Refresh Initialization

  11. Using Rapid Refresh Initialization and Rapid Refresh Physics

  12. Observed Sounding at Quillayute on the Washington Coast: 6/4/13 at 12UTC

  13. 900

  14. 925

  15. May 20th, 18 UTC

  16. What about the next morning? 12 UTC 21 May 2014

  17. Real-Time GFS-forced 925

  18. Forced by RR 925

  19. RR Init and RR Physics 925

  20. Long-Term TestsApril-May

  21. Temperature MAE, 12 hr forecast GFS Init RR Init RR Init and RR Physics

  22. Dew Point MAE

  23. Wind Direction MAE

  24. WSP MAE

  25. Conclusions • Initialization with NOAA Rapid Refresh grids does help in initializing shallow low clouds and maintaining them early in the forecasts. • Rapid Refresh (RUC) physics package contributes to establishment and maintenance of shallow, stable features. • Overall verification for the entire domain (NW U.S. and adjacent waters) for an extended does not suggest much overall improvement.

  26. Conclusions • The effects of initialization fades over the first day of the forecast, but physics effects remain substantial. • Will verify impacts on other seasons before deciding to go with this approach in the operational system.

  27. The End

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