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Winter storm forecast at 1-12 h range

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Presentation on theme: "Winter storm forecast at 1-12 h range"— Presentation transcript:

1 Winter storm forecast at 1-12 h range
Develop a method to initialize mesoscale models with radar data to capture snowband initiation and dissipation. Implement the above into the Weather Support to Decision Making (WSDM) automated winter weather nowcasting system.

2 Approaches The numerical forecasting system
adapted from NCAR/ARMY RTFDDA system based on MM5 and observational nudging suitable for case studies and real-time operations Assimilating Level II radar data (available in real-time from NSSL) 3D mosaic reflectivity from multiple radars raw radial velocity from individual radars

3 NCAR/ATEC RTFDDA 1-3.3 km fine mesh; highly re-locatable
Continuously nudging observations at the stations 3 hourly cycles Currrently assimilating: Surface stations, rawinsonde, metar, ship/buoy reports, mesonet, aircraft reports, profiler and satellite wind, special range observations, … MM5* OBS ETA/AVN Analysis Forecast

4 Realtime Radar Observations
1 km horizontal resolution 21 levels extending to 17 km - 3D mosaic reflectivity over CONUS - raw radial velocity from individual radars (available in real-time from NSSL)

5 Using radar data with RTFDDA
Assimilating 3D mosaic reflectivity Convert Z to rain/snow mixing ratio QR on the model grid Nudge the QR field on the model grid Add the latent heat associated with QR on the model grid Assimilating radial velocity observations Perform volume-velocity-processing (VVP) analysis using observations from radars on the 10 km grid Assimilate VVP wind vectors using observational nudging

6 Activities in 2004-2005 (1) Case studies:
On assimilating 3D radar reflectivity (converted to QR) and adding back latent heating Radial velocity analysis and impact of assimilating VVP wind (2) Real-time system development: software for data transfer, conversion, quality control, interpolation, and assimilation, and system automation integration of the model forecast product with WSDM display (3) Real-time tests Winter 2004 for NYC, and winter 2005 for Illinois Summer 2005 for Illinois-Indiana assimilated 3D mosaic reflectivity data (QR and latent heat)

7 Winter 2005 Operation – MM5 Domain
30km, 10km and 3.3km nested grid 12 h forecast every 3h cycle January – March 2005

8 Winter 2005 Operation – Display

9 Summary of Results The 3D radar reflectivity assimilation scheme
blends qr observations into MM5 analyses, and improves the skills for 0-3 h precipitation forecasts. produces little improvement in qr forecasts beyond 3 hour improves temperature forecasts in the 3-9 h range. An improvement of the wind forecast is needed. Assimilating VVP vectors from multiple radars showed positive impact in some case studies need to spatially and temporally filter the VVP wind

10 a small positive effect
Winter Storm Dec , 2002 RADAR OBS RTFDDA + QR NUDGE RTFDDA: NO QR NUDGE 4 hour forecast RADAR OBS analysis hour RTFDDA: NO QR NUDGE RTFDDA + QR NUDGE a small positive effect

11 Statistical Verification – surface T and RH
T Bias RH Bias T RMS RH RMS Bias and RMS errors in the 6-9 h forecast of T and RH. Each value is a 7 week-long average for the hour of the day. Red: Parallel run with radar data nudging. Blue: Control run.

12 Statistical Verification – surface WS and DIR
WS Bias DIR Bias WS RMS DIR RMS Bias and RMS errors in the 6-9 h forecast of Ws and Wd. Each value is a 7 week-long average for the hour of the day. Red: Parallel run with radar data nudging. Blue: Control run.

13 An Example of VVP Wind Vectors

14 Impact of assimilating VVP wind winter storm on January 13, 2005
4h forecasts valid at 6Z of Jan. 13 No Radar Reflectivity only Reflectivity + VVP

15 Summer Case Study and Operation
6 h forecast every 3 h cycle May 15 – August 31, 2005

16 Impact of assimilating reflectivity convective storm July 13, 2004
3h forecasts valid at 23Z of July 13 With Reflectivity (and latent heat) Observation No Reflectivity

17 Furure Work System development and evaluation
Statistical verification of the previous real-time tests Further develop and test the wind analysis scheme (2) Real-time operations in summer and winter Winter test is going on for Denver January-March 2006 Summer test is planned for May-August 2006 (3) Product design and display develop model forecast products that suits aviation users’ needs integrate model products with WSDM nowcasting system (4) System upgrade – transition to WRF


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