reconciling trends from radiosondes and satellites (msu4 and ssu15x) data: lks radiosondes (87...
TRANSCRIPT
![Page 1: Reconciling trends from radiosondes and satellites (MSU4 and SSU15x) Data: LKS radiosondes (87 stations), updated to 2004 using IGRA data MSU4 and SSU15x](https://reader035.vdocuments.us/reader035/viewer/2022062619/5515fa40550346a2308b48ea/html5/thumbnails/1.jpg)
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)
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vertical integrals of radiosonde data
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Problem: radiosondeds give substantially larger cooling than satellites
Seidel et al., 2004
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radiosonde vs. satellite trends
trends of differences(evaluated at each station)
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Trend differences are associated with jumps
jump
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Jumps occur at different times at different stations, suggesting problems originate with sondes (not satellites)
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Simple solution: just omit stations with large biases (identified by MSU4 comparisons)
trend biases< 0.3 K/decade
this retains ~ 40 stations
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Sondes vs. MSU4 for limited LKS stations
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Time series: satellite vs. ensemble radiosondes
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Time series: satellite vs. ensemble radiosondes
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satellite vs. ensemble radiosondes: global means
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Radiosonde trends
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Radiosonde trends
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Seasonality of radiosonde trends spring-summercooling in bothpolar regions
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seasonal variation of MSU4 trends
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Seasonality of radiosonde trends small seasonality
at all latitudes
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vertical profile
of trends
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Seasonal variation of polar trends
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Solar cycle
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Solar cycle
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vertical profile of solar signal in tropicsfrom radiosondes
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comparisons with SSU15x
note SSU data arenot co-located
with sonde station(10 degree zonal means)
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SSU15x trends vs. sondes
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SSU15x time series vs. sondes
note trends in differences(SSU15x cooling too much)
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SSU15x time series vs. sondes
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SSU15x time series vs. sondes
global mean
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