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

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

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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: - PowerPoint PPT Presentation

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Page 1: Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

Getting Beyond Cold Starts:Improving WRF Forecasts with

Rapid Refresh InitializationsCliff Mass and David OvensUniversity of Washington

Seattle, Washington

Page 2: Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

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.

Page 3: Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

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.

Page 4: Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

RapidRefresh

Page 5: Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

HRRR

Page 6: Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

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?

Page 7: Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

June 3, 2014 21 UTC

A test: Can mesoscale initialization from RR help with coastal stratus, major problem for the Northwest real-time WRF?

Page 8: Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

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)

Page 9: Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

GFS Initialization

Page 10: Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

Using Rapid Refresh Initialization

Page 11: Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

Using Rapid Refresh Initialization and Rapid Refresh Physics

Page 12: Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

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

Page 13: Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

900

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925

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May 20th, 18 UTC

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What about the next morning? 12 UTC 21 May 2014

Page 23: Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

Real-Time GFS-forced

925

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Forced by RR

925

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RR Init and RR Physics

925

Page 26: Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

Long-Term TestsApril-May

Page 27: Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

Temperature MAE, 12 hr forecast

RR Init

GFS Init

RR Init and RR Physics

Page 28: Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

Dew Point MAE

Page 29: Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

Wind Direction MAE

Page 30: Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

WSP MAE

Page 31: Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

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.

Page 32: Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

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.

Page 33: Getting Beyond Cold Starts: Improving WRF Forecasts with Rapid Refresh Initializations

The End