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Observing System Experiments Using the NCEP Global Data Assimilation System

Observing System Experiments Using the NCEP Global Data Assimilation System. James Jung Cooperative Institute for Meteorological Satellite Studies Lars Peter Riishojgaard University of Maryland, Baltimore County. Overview. Background / Experiments Anomaly Correlations

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Observing System Experiments Using the NCEP Global Data Assimilation System

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  1. Observing System Experiments Using the NCEP Global Data Assimilation System James Jung Cooperative Institute for Meteorological Satellite Studies Lars Peter Riishojgaard University of Maryland, Baltimore County

  2. Overview 10th JCSDA Workshop 10 - 12 October 2012 Background / Experiments Anomaly Correlations Tropical Wind Vector RMSE Summary

  3. Background 10th JCSDA Workshop 10 - 12 October 2012 • NCEP Operational GDAS/GFS May 2011 version (non-hybrid) • T574L64 operational resolution • Two Seasons • 15 Aug – 30 Sept 2010 • 15 Dec 2010 – 31 Jan 2011 • Cycled experiments • 7 Day forecast at 00Z • Control late analysis (GDAS) used for verification • Not NCEP operations computer

  4. Experiments 10th JCSDA Workshop 10 - 12 October 2012 • No Satellite data • AMSU-A, MHS, AMVs, GPS-RO, Hyperspectral, GOES Sounder, HIRS, Scatterometer (WindSat) • No Conventional data • Rawinsondes, Aircraft, Ship/Buoy, Profilers, VAD winds

  5. ExperimentsSatellite Instruments 10th JCSDA Workshop 10 - 12 October 2012 • No AMSU-A • NOAA-15, NOAA-18, NOAA-19, MetOp-A, Aqua • No MHS • NOAA-18, NOAA-19, MetOp-A • No Atmospheric Motion Vectors (AMV) • MTSAT, Meteosat-7, Meteosat-9, GOES-E, GOES-W, MODIS • No GPS-RO (11) • CNOFS, COSMIC, GRACE, MetOp-A, SACC, TerraSAR-X • No Hyperspectral • AIRS, IASI

  6. ExperimentsConventional Instruments 10th JCSDA Workshop 10 - 12 October 2012 • No Rawinsondes (T, Q, UV) • Rawinsondes, Dropsondes, PIBALs • No Aircraft data • AIREP, ASDAR, AIRCAR

  7. Anomaly Correlations 10th JCSDA Workshop 10 - 12 October 2012

  8. 500 hPa Anomaly Correlations15 Aug – 30 Sep 2010 No Satellite / No Conventional Data Northern Hemisphere Southern Hemisphere 10th JCSDA Workshop 10 - 12 October 2012

  9. 500 hPa Anomaly Correlations 15 Aug – 30 Sep 2010 No AMSU-A / No MHS Northern Hemisphere Southern Hemisphere 10th JCSDA Workshop 10 - 12 October 2012

  10. 500 hPa Anomaly Correlations 15 Aug – 30 Sep 2010 No GPS-RO / No AMV Northern Hemisphere Southern Hemisphere 10th JCSDA Workshop 10 - 12 October 2012

  11. 500 hPa Anomaly Correlations 15 Aug – 30 Sep 2010 No Rawinsondes / No Aircraft Northern Hemisphere Southern Hemisphere 10th JCSDA Workshop 10 - 12 October 2012

  12. 500 hPa Anomaly Correlations 15 Aug – 30 Sep 2010 No Hyperspectral Infrared Northern Hemisphere Southern Hemisphere 10th JCSDA Workshop 10 - 12 October 2012

  13. 500 hPa, Day 5, Average AC scores 10th JCSDA Workshop 10 - 12 October 2012

  14. 1000 hPa, Day 5, Average AC scores 10th JCSDA Workshop 10 - 12 October 2012

  15. Anomaly Correlation Conclusions 500 hPa • No satellite and no conventional data experiments are similar to previous studies. • No Satellite has greatest impact, especially in Southern Hemisphere. • Single instrument scores are much smaller than entire suite denial. • Few instruments have statistically significant impact at day 5. • Rawinsonde, Aircraft (Aug-NH) • Rawinsonde, GPS-RO (Aug-SH) • Rawinsonde, AMSU-A (Dec-NH) • AMSU-A, GPS-RO (Dec-SH) 10th JCSDA Workshop 10 - 12 October 2012

  16. Anomaly Correlation Conclusions 1000 hPa 10th JCSDA Workshop 10 - 12 October 2012 • In general, similar (but less) impact as at 500 hPa • Single instrument scores are much smaller than entire suite denial. • Less sensors have statistically significant impact at day 5. • Rawinsonde (Aug-NH) • Rawinsonde (Dec-NH) • Rawinsonde, AMSU-A (Dec-SH)

  17. Tropical Vector Wind RMSE 10th JCSDA Workshop 10 -12 October 2012

  18. No Satellite / No Conventional Data15 Aug – 30 Sep 2010 RED => RMS (exp) > RMS(control) GREEN => RMS(exp) < RMS(control) 10th JCSDA Workshop 10 - 12 October 2012

  19. No AMSU-A / No MHS 15 Aug -30 Sep 2010 RED => RMS (exp) > RMS(control) GREEN => RMS(exp) < RMS(control) 10th JCSDA Workshop 10 - 12 October 2012

  20. No GPS-RO / No AMV 15 Aug -30 Sep 2010 RED => RMS (exp) > RMS(control) GREEN => RMS(exp) < RMS(control) 10th JCSDA Workshop 10 - 12 October 2012

  21. No Rawinsondes / No Aircraft 15 Aug -30 Sep 2010 RED => RMS (exp) > RMS(control) GREEN => RMS(exp) < RMS(control) 10th JCSDA Workshop 10 - 12 October 2012

  22. No Hyperspectral Infrared 15 Aug -30 Sep 2010 RED => RMS (exp) > RMS(control) GREEN => RMS(exp) < RMS(control) 10th JCSDA Workshop 10 - 12 October 2012

  23. Tropical Wind Statistics Conclusions 10th JCSDA Workshop 10 - 12 October 2012 RED implies data has positive effect on tropical winds All data types have a positive impact on Vector Wind Statistics in the Tropics

  24. Summary 10th JCSDA Workshop 10 - 12 October 2012 • NCEP operations version of the GDAS (May 2011) at the operational resolution (T574L64) was used • Two season cycled experiment • Aug – Sep 2010 • Dec 2010 – Jan 2011 • No Satellite / No Conventional data statistics similar to previous studies. • Impact from individual sensors is less than expected • Few individual sensors make statistically significant changes to the anomaly correlation scores. • All instrument types have a positive impact on tropical winds • AMSU, MHS, AMVs, GPS-RO, Aircraft, Rawinsondes

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