1 / 17

Model Initialization Using Single-Doppler Retrieved Fields Obtained From WSR-88D Level-II Data

Model Initialization Using Single-Doppler Retrieved Fields Obtained From WSR-88D Level-II Data. Steve Weygandt, Alan Shapiro, Keith Brewster, Jason Levit, Kelvin Droegemeier Center for Analysis and Prediction of Storms, Coastal Meteorology Research Project, University of Oklahoma. BACKGROUND.

hija
Download Presentation

Model Initialization Using Single-Doppler Retrieved Fields Obtained From WSR-88D Level-II Data

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Model Initialization Using Single-Doppler Retrieved Fields Obtained From WSR-88D Level-II Data Steve Weygandt, Alan Shapiro, Keith Brewster, Jason Levit, Kelvin DroegemeierCenter for Analysis and Prediction of Storms, Coastal Meteorology Research Project, University of Oklahoma

  2. BACKGROUND • Single-Doppler Parameter Retrieval developed to explicitly initialize ongoing convection in a high-resolution model using WSR-88D wideband data • Research and quasi-operational testing ongoing • Issues related to operational implementation: • Retrieval sensitivity to storm and data characteristics? • Predictability limits for storm-scale phenomena? • Computer power for real-time retrieval/prediction? • Band-width for rapid transfer of level-II data?

  3. Results From Four Cases • 2 km forecast of 24 August 1994 MCS (Wichita) (data sensitivity study by J. Zong) • 9 km test on 4 December 1998 squall line (Oklahoma City) • 9 km test on 5 April 1999 squall line (Oklahoma City, Dallas, Fort Smith) • 3 km test on 3 May 1999 OKC tornado outbreak (Oklahoma City) • Oklahoma Mesonet, GOES Satellite, Wind Profiler, Surface METARS, MDCRS Commercial Aircraft, NIDS Level-III Radar Data • Full model physics including radiation, ice microphysics, terrain, surface energy budget

  4. 0100 UTC 4 DEC 1999 KTLX Refl. W E *

  5. Initial 700 mb VERT VEL (Dx = 9km) * * * RETR NO RETR Wmax = 0.65 m/s Wmax = 0.26 m/s

  6. 1-hr Model Forecast Surface Refl. * * * RETR NO RETR

  7. 5 April 1999 - Level-II Data with Retrieval vs. NIDS Level-III Data 12 Z Obs Reflectivity Initial 700 mb Vertical Velocity Using NIDS Initial 700 mb Vertical Velocity with Level-II Data and Retrieval Wmax = 0.09 m/s Wmax = 0.33 m/s

  8. 5 April 1999 - Level-II Data with Retrieval vs. NIDS Level-III Data 15 Z Obs Reflectivity 3 Hour ARPS Refl Forecast (9 km) Using Level II Data and Retrieval Valid 15Z 3 Hour ARPS Refl Forecast (9 km) Using NIDS Data Valid 15Z

  9. 3 May 1999 Tornadoes Level-II Data and Retrieval Single-Doppler Retrieved Fields at 2200 UTC (Dx = 3 km) Z=5 km Reflectivity and Vertical Velocity Z=5 km Reflectivity and Pert. Horizontal Winds

  10. 3 May 1999 Tornadoes Level-II Data and Retrieval 1 Hour Model Prediction at 2300 UTC Z=2 km Reflectivity and Horizontal Winds Observed Reflectivity (dBZ)

  11. 3 May 1999 Tornadoes Level-II Data and Retrieval 1.5 Hour Model Prediction at 2330 UTC Z=2 km Reflectivity and Horizontal Winds Observed Reflectivity (dBZ)

  12. 3 May 1999 Tornadoes Level-II Data and Retrieval 2 Hour Model Prediction at 0000 UTC 4 May Z=2 km Reflectivity and Horizontal Winds Observed Reflectivity (dBZ)

  13. FUTURE • Detailed analysis of forecast impact from Single-Doppler retrieved fields • Real-time testing of retrieval package • Continued development of retrieval algorithm • Basic storm-scale sensitivity/predictability experiments

  14. Shapiro’s Two-Scalar Single-Doppler Velocity Retrieval Assume reflectivity is conserved: Assume velocity field satisfies a velocity constraint: where U and V are constant pattern translation components following Gal-Chen (1982)

More Related