1. TEC introduced high ratios of std(Tbmeas-Tbmodel)/ radio_accuracy X. Yin, J. Boutin LOCEAN

2. At QWG 6, some of us noticed that ratios of std(Tbmeas-Tbmodel)/radio_accuracy are very high in the top-left of the FOV (desc Nov.) Why? TEC? Given that we have L1c with different versions of TEC now, the effect of strong TEC on the ratios of std(Tbmeas-tbmodel)/radio_resolution can be studied.

3. Method 1. 5 descending orbits in November 2010 between 5S and 45S. mean TEC is around 20 tecu 2. 3 descending orbits in July 2010 between 5S and 45S. mean TEC is around 10 tecu Flag: Sun point + Suntail

4. Part I, Nov 2010, 5 descending 20101101T004554_20101101T013909 20101104T002911_20101104T012223 20101105T013018_20101105T022331 20101106T005122_20101106T014436 20101108T011335_20101108T020647 L1op v504 DPGS reprocessing Consolidated TEC FTT June 2011 L1pp v500 Sun on, Deimos IRI predicted TEC FTT July 2010

5. 5S-45S Mean consolidated TEC = 20.2 tecu Mean IRI predicted TEC = 25.0 tecu predicted

6. Consolidated TEC IRI TEC X pol. std(Tbmeas-Tbmodel)/ radio_accuracy std(Tbmeas)/ radio_accuracy std(Tbmodel)/ radio_accuracy 1.6 0.8 1.6 0.8 1.6 0.8 1.6 0.8 1 0 1 0

7. Consolidated TEC IRI TEC Y pol. std(Tbmeas-Tbmodel)/ radio_accuracy std(Tbmeas)/ radio_accuracy std(Tbmodel)/ radio_accuracy 1.6 0.8 1.6 0.8 1.6 0.8 1.6 0.8 1 0 1 0

8. Consolidated TEC T3 std(Tbmeas-Tbmodel)/ radio_accuracy std(Tbmeas)/ radio_accuracy IRI TEC std(Tbmodel)/ radio_accuracy 1 0 1 0 1.6 0.8 1.6 0.8 1.6 0.8 1.6 0.8

9. IRI TEC OTTConsolidated TEC OTT X pol. Y pol. diff 10 -10 10 -10 2 -2 10 -10 10 -10 2 -2

10. IRI TEC OTT T3 Consolidated TEC OTT 10 -10 10 -10 2 -2 diff

11. Part II, July 2010, descending 20100701T003344_20100701T012657 20100703T005556_20100703T014908 20100704T001658_20100704T011011 L1op v504 DPGS reprocessing Consolidated TEC FTT June 2011 L1pp v504 GPOD IRI predicted TEC FTT July 2010

12. 5S-45S Mean consolidated TEC = 9.6 tecu Mean IRI predicted TEC = 14.5 tecu predicted

13. Consolidated TEC IRI TEC X pol. std(Tbmeas-Tbmodel)/ radio_accuracy std(Tbmeas)/ radio_accuracy std(Tbmodel)/ radio_accuracy 1.6 0.8 1.6 0.8 1.6 0.8 1.6 0.8 1 0 1 0

14. Consolidated TEC IRI TEC Y pol. std(Tbmeas-Tbmodel)/ radio_accuracy std(Tbmeas)/ radio_accuracy std(Tbmodel)/ radio_accuracy 1.6 0.8 1.6 0.8 1 0 1.6 0.8 1.6 0.8 1 0

15. Consolidated TEC T3 std(Tbmeas-Tbmodel)/ radio_accuracy std(Tbmeas)/ radio_accuracy IRI TEC std(Tbmodel)/ radio_accuracy 1.6 0.8 1.6 0.8 1.6 0.8 1.6 0.8 1 0 1 0

16. IRI TEC OTT Deimos v500 Consolidated TEC OTT reprocessing X pol. Y pol. diff 10 -10 10 -10 2 -2 10 -10 10 -10 2 -2 FTT July 2010 June 2011;less galaxy signal

17. IRI TEC OTT T3 Consolidated TEC OTT 10 -10 10 -10 2 -2 diff

18. Conclusions 1.Consolidated TEC is lower than IRI predicted TEC 2.With consolidated TEC, ratios of std(Tbmeas- Ybmodel)/radio_accuracy are lower than those computed with IRI predicted TEC, but still too high in the front of the FOV compared with other regions in the FOV. 3.High ratios of std(Tbmeas-Tbmodel)/radio_accuracy could be caused by bad TEC: more accurate TEC, especially when and where Tb sensitivity to TEC is strong (see presentation by JLV and PW). 4. Compared to TX and TY, T3 is more sensitive to variations of TEC in the front of FOV, descending orbits, between 45S-5S. 5. Large influence of FTT on OTT!!