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GFS Model activities in India (NCMRWF)

Explore the advancements in the Global Forecast System (GFS) model activities by the National Centre for Medium Range Weather Forecasting (NCMRWF) in India. Discover recent developments, new observations assimilated, data pre-processing techniques, observational data coverage, the implementation of upgraded models, highlights of the new GFS model, and more. Gain insights into the GFS directory structure, dynamics, time integration, physics, resolution changes, and major modifications in the model. Evaluate the GFS model performance, output files, post-processing options, analysis, verification, and case studies related to monsoon dynamics. Stay updated on the innovative enhancements in GFS activities at NCMRWF for improved weather forecasting.

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GFS Model activities in India (NCMRWF)

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  1. GFS Model activities in India (NCMRWF) Saji Mohandas V S Prasad G R Iyengar R G Ashrit Surya Kanti Dutta M Das Gupta E N Rajagopal National Centre for Medium Range Weather Forecasting

  2. Global Spectral models at NCMRWF

  3. Recent developments in Global Forecast System Implementation of the T382L64 GFS from May 2010 (latest versions of upgraded model and GSI) Assimilation of additional data in T382L64 GFS The Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) winds Rainfall rates (TRMM, SSMI) NOAA19 radiances Atmospheric Infrared Sounder (AIRS) radiances GPSRO (COSMIC) Evaluation of the T382L64 GFS for Monsoon-2010 Implementation of the T574L64 GFS from mid-November, 2010 (July 2010 Version)

  4. Data Pre-processing • In T80L18 system ECMWF decoders were used in data pre-processing and then data was packed them in prepqm format. • From T254L64 onwards a complete NCEP data pre-processing system was implemented. • Presently this data pre-processing system even linked UKMO OBSTORE data processing (for conventional observations only).

  5. New Observations Apart from the observations that are used in the earlier system the following new observations are being assimilated. • 1. Precipitation rates from SSM/I & TRMM • 2. GPSRO occultation • 3. AIRS and AMSRE radiances • 4. MODIS winds

  6. Types of Observations Assimilated in GFS DAF system ADPSFC Land surface, Mobile, Ship, Buoy (SYNOPs) ADPUPA TEMP (land and marine), PILOT (land and marine), Dropsonde, Wind profiler Aircar/aircft AIREP, AMDAR, TAMDAR, ACARS satwind AMV from Meteosat-7, Meteosat-9, GOES-11, GOES-13, MTSAT-1R, MODIS (TERRA and AQUA), Scatwind (presently not going at NCMRWF) ERS-2 wind, ASCAT winds from METOP-A satellite, Winsat winds from Coriolis satellite NESDIS/POES ATOVS sounding and radiance data 1bamua, 1bamub, 1bmhs,1bhirs3, 1bhirs4,MHS sbuv NESDIS/POES, METOP-2 and AURA orbital ozone data  Spssmi, SPTRMM NASA/TRMM (Tropical Rainfall Measuring Mission) and SSM/I precip. rates GPSRO Atmospheric profiles from radio occultation data using GPS satellites NASA/AQUA and EUMETSAT/METOP/IASI brightness temperature data IASI,AIRS,AMSR-E brightness temperatures

  7. Conventional datasets

  8. Satellite datasets

  9. Data Coverage GPSRO RADIANCE

  10. Data Coverage AMV AWS Observations

  11. New GFS model-Highlights • Higher resolution and modified science options • Implementation on IBM Power 6 • Directory structure suitable for easy portability • Improved Initial conditions (GSI) and more non-conventional observations • New post processors and more diagnostics • Improved performance

  12. Directory Structure

  13. GFS Overview • Dynamics : Spectral, Hybrid sigma-p, Reduced Gaussian grid • Time integration : Leapfrog/Semi-implicit • Time filter : Asselin • Horizontal diffusion : 8th order wavenumber dependent • Orography : Mean orography • Surface fluxes : Monin-obhukov Similarity • Turbulent fluxes : Non-local closure • SW Radiation : RRTM • LW Radiation : RRTM • Deep Convection : SAS • Shallow convection : Mass-flux based • Grid-scale condensation : Zhao Microphysics • Land Surface Processes : 4-layer NOAH LSM • Cloud generation : Xu and Randal • Rainfall evaporation : Kessler • Air-sea interaction : Roughness length by Charnock • Gravity Wave Drag : Based on Alpert • Sea-Ice model : Based on Winton

  14. Major Changes • Resolution and model parameters -T382L64/T574L64 • Vertical coordinate system (Hybrid sigma-p) • Upgraded ESMF library (esmf v 3.1.0rp2) • Restructured GFS code (namelist options, DIAG3D and GOC3D o/p) • Modified dynamics/physics (thru namelist) • Post processing options (postgp/nceppost)

  15. 40 deg. North 90 deg. East Saha et al., 2010

  16. Resolutions • T382L64 (~35Km) • May 2010 • 1152x574 grid • Timestep:180 sec • CPU: 3min/24hr (IBM-P6 24 node x 8 proc) Physics: minor changes from T254L64 • T574L64 (~23Km) • November 2010 • 1760x880 grid • Timestep:120 sec • CPU: 15min/24hr (IBM-P6 16 node x 32 proc) Completely modified physics package

  17. Modified Physics • Radiation and clouds • Gravity wave drag • Planetary boundary Layer • Shallow convection • Deep convection • Tracer transport scheme

  18. Post Processing Optionsgfs_post_txxx_6hrly.sh/JGFS_nceppost.sh • POSTGP (old program) - Fast computation, Smoothed fields • NCEPPOST (Unified post processor) - Consists of CHGRES and NCEPPOST steps - CHGRES is computationally expensive thread level application - NCEPPOST is MPI code - More accurate algorithm for some diagnostics - Much more number of output fields

  19. Output Files • Global model outputs: SF, BF and FLX DIAG3D and GOCART (Optional) • Post processed outputs: PGB (Pressure level 3D atmospheric fields)

  20. Analysis and Forecast Verification

  21. 500 (GEOP) SH 250 CORR COEFF RSME

  22. 500 (TEMP) SH 250 CORR COEFF RSME

  23. RMSE (VECTOR WIND500) SH

  24. RMSE (VECTOR WIND500) NH

  25. Verification Against Mean Analysis Anomaly Correlation WIND500 Using NCEP VSDB verification

  26. Case Studies • Monsoon Depression (30 Aug 2010) • Tropical Cyclone ‘JAL’ (06 Nov 2010) • Western Disturbance (8 Feb 2011) • Easterly Wave (2 Feb 2011) • False alarm (28 March 2011)

  27. MD (30 Aug 2010) T382L64

  28. MD (30 Aug 2010) T254L64

  29. MD (30 Aug 2010) T382L64 T254L64

  30. MD (30 Aug 2010) T382L64

  31. MD (30 Aug 2010) T254L64

  32. MD (30 Aug 2010) T382L64 T254L64

  33. TC (06 Nov 2010) T382L64

  34. TC (06 Nov 2010) T254L64

  35. TC (06 Nov 2010) T382L64 T254L64

  36. TC (06 Nov 2010) T382L64

  37. TC (06 Nov 2010) T254L64

  38. TC (06 Nov 2010) T382L64 T254L64

  39. WD (08 Feb 2011) T574L64

  40. WD (08 Feb 2011) T382L64

  41. WD (08 Feb 2011) T254L64

  42. T574L64 T254L64 T382L64

  43. WD (08 Feb 2011) T574L64

  44. WD (08 Feb 2011) T382L64

  45. WD (08 Feb 2011) T254L64

  46. T574L64 T254L64 T382L64

  47. EW (02 Feb 2011) T574L64 a b c e f d

  48. EW (02 Feb 2011) T382L64

  49. EW (02 Feb 2011) T254L64

  50. T574L64 T254L64 T382L64

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