1. Reconciling trends from radiosondes and satellites (MSU4 and SSU15x) Data: LKS radiosondes (87 stations), updated to 2004 using IGRA data MSU4 and SSU15x data (1979-2004)

2. vertical integrals of radiosonde data

3. Problem: radiosondeds give substantially larger cooling than satellites Seidel et al., 2004

4. radiosonde vs. satellite trends trends of differences (evaluated at each station)

5. Trend differences are associated with jumps jump

6. Jumps occur at different times at different stations, suggesting problems originate with sondes (not satellites)

7. Simple solution: just omit stations with large biases (identified by MSU4 comparisons) trend biases < 0.3 K/decade this retains ~ 40 stations

8. Sondes vs. MSU4 for limited LKS stations

9. Time series: satellite vs. ensemble radiosondes

11. satellite vs. ensemble radiosondes: global means

12. Radiosonde trends

14. Seasonality of radiosonde trends spring-summer cooling in both polar regions

15. seasonal variation of MSU4 trends

16. Seasonality of radiosonde trends small seasonality at all latitudes

17. vertical profile of trends

18. Seasonal variation of polar trends

19. Solar cycle

21. vertical profile of solar signal in tropics from radiosondes

22. comparisons with SSU15x note SSU data are not co-located with sonde station (10 degree zonal means)

23. SSU15x trends vs. sondes

24. SSU15x time series vs. sondes note trends in differences (SSU15x cooling too much)

25. SSU15x time series vs. sondes

26. global mean