Upload
allison-whitehead
View
214
Download
1
Tags:
Embed Size (px)
Citation preview
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)
vertical integrals of radiosonde data
Problem: radiosondeds give substantially larger cooling than satellites
Seidel et al., 2004
radiosonde vs. satellite trends
trends of differences(evaluated at each station)
Trend differences are associated with jumps
jump
Jumps occur at different times at different stations, suggesting problems originate with sondes (not satellites)
Simple solution: just omit stations with large biases (identified by MSU4 comparisons)
trend biases< 0.3 K/decade
this retains ~ 40 stations
Sondes vs. MSU4 for limited LKS stations
Time series: satellite vs. ensemble radiosondes
Time series: satellite vs. ensemble radiosondes
satellite vs. ensemble radiosondes: global means
Radiosonde trends
Radiosonde trends
Seasonality of radiosonde trends spring-summercooling in bothpolar regions
seasonal variation of MSU4 trends
Seasonality of radiosonde trends small seasonality
at all latitudes
vertical profile
of trends
Seasonal variation of polar trends
Solar cycle
Solar cycle
vertical profile of solar signal in tropicsfrom radiosondes
comparisons with SSU15x
note SSU data arenot co-located
with sonde station(10 degree zonal means)
SSU15x trends vs. sondes
SSU15x time series vs. sondes
note trends in differences(SSU15x cooling too much)
SSU15x time series vs. sondes
SSU15x time series vs. sondes
global mean