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Wind errors in the GFS Tommy Gun's Valentine's Massacre Dinner Show - February 14 and 17 – Forget dat romantic Valentine's Day and.

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Presentation on theme: "Wind errors in the GFS Tommy Gun's Valentine's Massacre Dinner Show - February 14 and 17 – Forget dat romantic Valentine's Day and."— Presentation transcript:

1 Wind errors in the GFS Glenn.White@noaa.gov Tommy Gun's Valentine's Massacre Dinner Show - February 14 and 17 – Forget dat romantic Valentine's Day and celebrate it wit a bang! Join us in our annual re-enactment of the St. Valentine's Day Massacre after our dinner show, in honor of Valentine's Day - Chicago- style.

2 Fang-Lin Yang GFS.033 behind ECMWF,.006 behind Met Office GFS.019 ahead of ECMWF

3 Fang-Lin Yang GFS.051 behind ECMWF,.037 behind Met Office GFS.078 behind ECMWF

4 GFS slightly better than ECMWF; GFS 6-10 day forecasts explain 50% of variance CPC

5 GFS poor precip forecasts, large bias MMB

6 Jan. 2000 T170 L42 May 2001 cloud liquid water, momentum mixing, stonger QC AMSU Oct. 2002 T254 L64, analysis changes May 2005 T382 L64, increased mountain blocking, decreased vertical diffusion May 2007 GSI, hybrid vertical coordinate

7 Note increase in number Of observations

8 Improvement has leveled off Last 2 years

9 Little improvement last 5 years

10 GSI improved agreement with analyses, not with raobs

11 GFS analyses Closer to rawinsondes

12 ECMWF forecasts Closer to Rawinsondes

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14 GFS Day 1 problem GFS day 1 and day2 problem

15 In NH extratropics, fall behind ECMWF first 24 hours In tropics fall behind ECMWF day 2 Wind errors not just a tropical problem.

16 Zonal mean RMS difference in wind analyses

17 Analyses most different at equator Above 700 hPa GFS most like ECMWF Most different from FNMOC EC more similar to Met Office Than GFS except above 150hPa at equator

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19 RMS difference in wind analyses at equator

20 Biggest differences in analyses 200 hPa and above And in ePacific 800-400 hPa

21 GFS stronger trades than other centers

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41 GFS more variability in forecasts than other centers FNMOC less variability Transient eddy kinetic energy (1/2(u’ 2 +v’ 2 ))

42 GFS tends to have larger rms wind errors than ECMWF, Met Office Not just a tropical problem Analysis differences quite large near equator GFS stronger trade winds western hemisphere FNMOC less variability than other centers GFS more variability in forecasts Initially GFS error grows more slowly near equator than other centers, more rapidly than other centers in midlatitudes.


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