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   NWP Models at DGMAN
   Study Domain and Configurations
   GME (Global Model) analysis as an Input to
    HRM/COSMO
   Evaluating Forecasted:
     Tracks
     Intensity
     rainfall
   Conclusion & future work
Operational Forecasting Model




   Prognostic variables               Diagnostic variables
Surface pressure        ps
Temperature             T         Vertical velocity        ω
Water vapour            qv        Geopotential             φ
Cloud water             qc        Cloud cover              clc
Cloud ice               qi        Diffusion coefficients   tkvm/h
Horizontal wind         u, v
Several surface/soil parameters
Research Evaluation Model




   Prognostic variables        Diagnostic variables
pressure perturbation p‘
Temperature             T      Total air density
specific humidity       qv     precipitation fluxes of rain
Cloud water             qc     and snow.
Cloud ice               qi
Horizontal/virtical
wind                  u, v,w
   x: 193
   y:114
   levels: 40
   FCT Hours:78
   FCT times: 00,12 UTC
   7 – 35.25 N
   30 – 78 E
   Initial/LBC: GME
   x: 241
   y: 241
   levels : 40
   FCT Hours:78
   FCT times: 00,12 UTC
   14.0 – 29.0 N
   48.5 – 63.5 E
   Initial/LBC: GME
   x: 241 y: 241 levels :40
   Lat: 11.0 – 26 N
   Lon: 57.0 – 72.0 E
   Initial/LBC: GME
   Period: 3-6 June 2007
   Model Version:
      HRM 2.4
      COSMO 3.4
Category     Wind Speed


  Deep         kt 28-33
Depression
 Cyclonic      kt 34-47
  Storm
  Severe       kt 48-63
 Cyclonic
  Storm
Very Severe    64-119kt
 Cyclonic
   Storm
  Super        kt 120=<
 Cyclonic
  Storm
mm
mm
mm
   GME (driving model) miss located Gonu center and underestimated the
    associated wind and pressure drop.
   Clear dependency between GME forecast quality and HRM/COSMO
    forecast quality.
   Even though HRM/COSMO are not TC specialized models, both have
    given the signal for Gonu.
   COSMO_07 were able to forecast Gonu as Severe Cyclonic Storm starting
    from 12UTC run of 4th June 2007.
   On average COSMO shows 5% improvement of track forecast and 3% on
    the wind intensity over HRM.
   Both HRM_07 and COSMO_07 have signaled 48h rainfall of more than
    900mm starting at June 5th with reasonable spacial and good amount
    agreement with the recorded rainfall.
   Both HRM & COSMO are not specialized TC models, Testing the new “TC
    bogussing” scheme developed on the HRM community.

   Testing the effect of introducing Data Assimilation system for the HRM
    model.

   Plan to introduce SREF system, and test the performance.
Nwp performance gonu Tropical Cyclone conference

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Nwp performance gonu Tropical Cyclone conference

  • 1.
  • 2. NWP Models at DGMAN  Study Domain and Configurations  GME (Global Model) analysis as an Input to HRM/COSMO  Evaluating Forecasted:  Tracks  Intensity  rainfall  Conclusion & future work
  • 3. Operational Forecasting Model Prognostic variables Diagnostic variables Surface pressure ps Temperature T Vertical velocity ω Water vapour qv Geopotential φ Cloud water qc Cloud cover clc Cloud ice qi Diffusion coefficients tkvm/h Horizontal wind u, v Several surface/soil parameters
  • 4. Research Evaluation Model Prognostic variables Diagnostic variables pressure perturbation p‘ Temperature T Total air density specific humidity qv precipitation fluxes of rain Cloud water qc and snow. Cloud ice qi Horizontal/virtical wind u, v,w
  • 5. x: 193  y:114  levels: 40  FCT Hours:78  FCT times: 00,12 UTC  7 – 35.25 N  30 – 78 E  Initial/LBC: GME
  • 6. x: 241  y: 241  levels : 40  FCT Hours:78  FCT times: 00,12 UTC  14.0 – 29.0 N  48.5 – 63.5 E  Initial/LBC: GME
  • 7. x: 241 y: 241 levels :40  Lat: 11.0 – 26 N  Lon: 57.0 – 72.0 E  Initial/LBC: GME  Period: 3-6 June 2007  Model Version:  HRM 2.4  COSMO 3.4
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15. Category Wind Speed Deep kt 28-33 Depression Cyclonic kt 34-47 Storm Severe kt 48-63 Cyclonic Storm Very Severe 64-119kt Cyclonic Storm Super kt 120=< Cyclonic Storm
  • 16. mm
  • 17. mm
  • 18. mm
  • 19. GME (driving model) miss located Gonu center and underestimated the associated wind and pressure drop.  Clear dependency between GME forecast quality and HRM/COSMO forecast quality.  Even though HRM/COSMO are not TC specialized models, both have given the signal for Gonu.  COSMO_07 were able to forecast Gonu as Severe Cyclonic Storm starting from 12UTC run of 4th June 2007.  On average COSMO shows 5% improvement of track forecast and 3% on the wind intensity over HRM.  Both HRM_07 and COSMO_07 have signaled 48h rainfall of more than 900mm starting at June 5th with reasonable spacial and good amount agreement with the recorded rainfall.
  • 20. Both HRM & COSMO are not specialized TC models, Testing the new “TC bogussing” scheme developed on the HRM community.  Testing the effect of introducing Data Assimilation system for the HRM model.  Plan to introduce SREF system, and test the performance.