1 / 20

Impact of the 4D-Var Regional Analysis System on the new Canadian RDPS System

Impact of the 4D-Var Regional Analysis System on the new Canadian RDPS System. Luc Fillion 1 Monique Tanguay 1 , Ervig Lapalme 1 , Mateusz Reszka 2 , Judy St-James 2 , Manon Lajoie 2 , Bin He 1 , Stephen Macpherson 1 , Paul Vaillancourt 1 , Alain Patoine 2 , C é cilien Charette 1

rosine
Télécharger la présentation

Impact of the 4D-Var Regional Analysis System on the new Canadian RDPS System

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. Impact of the 4D-Var Regional Analysis System on the new Canadian RDPS System Luc Fillion1 Monique Tanguay1, Ervig Lapalme1, Mateusz Reszka2 , Judy St-James2 , Manon Lajoie2, Bin He1, Stephen Macpherson1, Paul Vaillancourt1 , Alain Patoine2, Cécilien Charette1 46th CMOS Congress 26th Conference on Weather & Forecasting 21st Conference on NWP DAII: Data Assimilation Systems Session 1E1 Hyatt Regency Hotel, 1255 rue Jeanne Mance, Montréal, Qc, CAN. H5B1E5 Grand Salon B Tuesday, 29th May 2012, 17h-17h15. 1Meteorological Research Division 2 CanadianMeteorological Center (Development)

  2. NL-High 15-km grid (649x672) NL-High 10-km grid (996x1028) NL-Low/TL/AD 100-km grid (141x141)

  3. Prof1TL ProfiTL ProfNTL 3D-Var MPI 3D-Var MPI GEM TL MPI GEM AD MPI Prof1AD ProfiAD ProfNAD dxTL dxAD ORIGINAL 289 s 210 s 281 s 358 s 3D-Var MPI GEM TL MPI GEM AD MPI dxTL dxAD Prof1TL ProfiTL ProfNTL Reduction 20% REVISED 3D-Var MPI Prof1AD ProfiAD ProfNAD 289 s 281 s 358 s REG-4D : 18 min/ 45 it = 24 sec/it Topologie = 2x(8x8x16)=2048

  4. 4D-Var configuration • Same observations assimilated as in the operational 3D-Var • 15 min binning (45 min for the operational) • 45 iterations(1 Loop)

  5. Number of Assimilated Observations 2011012012 2011051700

  6. Verifications against G2 4D-Var Analyses 48-h DIFF RMSE (m) GZ-250 hPa Summer-2011 Blue: 33 kmDriver is better

  7. Verifications against G2 4D-Var Analyses 48-h DIFF RMSE (m) GZ-500 hPa Summer-2011 Blue: 33 kmDriver is better

  8. WINTER-2011 40 cases 48h Forecast NA+ 15 km

  9. WINTER-2011 40 cases 48h Forecast ARCTIC 15 km

  10. WINTER-2011 40 cases 48h Forecast CANADA 15 km

  11. SUMMER-2011 40 cases 48h Forecast NA+ 15 km

  12. SUMMER-2011 40 cases 24h Forecast/ CANADA 15 km

  13. SUMMER-2011 40 cases 36h Forecast/ CANADA 15 km

  14. SUMMER-2011 40 cases 48h Forecast/ CANADA 15 km

  15. Verifications against G2 4D-Var Analyses 48-h DIFF RMSE (m) GZ-500 hPa Summer-2011 Blue: 4D-Var is better 15 km

  16. Verifications against G2 4D-Var Analyses 48-h DIFF RMSE (m) GZ-250 hPa Summer-2011 Blue: 4D-Var is better 15 km

  17. Verifications against G2 4D-Var Analyses 48-h DIFF RMSE (m) GZ-500 hPa Winter-2011 Blue: 4D-Var is better 15 km

  18. Summary and Conclusions 4D-Var component of RDPS_3.0.0: • Clear improvements in UA scores for both seasons in most of troposphere (Major improvements over Canada and the Arctic) • Optimized 4D-Var still can sustain significant increase in Nb. of Observations assimilated without affecting execution time • Don’t Miss Alain Patoine’s talk on RDPS-10km/4D-Var Wednesday 30th May 14h15, Session 2C3

  19. T= - 3 hr T= 3 hr REG-4D-GLB 100 km, 400x200 Cœur TL Frontière NL REG-4D-LAM 100 km, 104x104 REG-4D-LAM 100 km, 138x138

More Related