Climate Dynamics

, Volume 16, Issue 1, pp 49–61 | Cite as

Modelled and observed variability in atmospheric vertical temperature structure

  • N. P. Gillett
  • M. R. Allen
  • S. F. B. Tett


Realistic simulation of the internal variability of the climate system is important both for climate change detection and as an indicator of whether the physics of the climate system is well-represented in a climate model. In this work zonal mean atmospheric temperatures from a control run of the second Hadley Centre coupled GCM are compared with gridded radiosonde observations for the past 38 years to examine how well modelled and observed variability agree. On time scales of between six months and twenty years, simulated and observed variability of global mean temperatures agree well for the troposphere, but in the equatorial stratosphere variability is lower in the model than in the observations, particularly at periods of two years and seven to twenty years. We find good agreement between modelled and observed variability in the mass-weighted amplitude of a forcing-response pattern, as used for climate change detection, but variability in a signal-to-noise optimised fingerprint pattern is significantly greater in the observations than in a model control run. This discrepancy is marginally consistent with anthropogenic forcing, but more clearly explained by a combination of solar and volcanic forcing, suggesting these should be considered in future `vertical detection' studies. When the relationship between tropical lapse rate and mean temperature was examined, it was found that these quantities are unrealistically coherent in the model at periods above three years. However, there is a clear negative lapse rate feedback in both model and observations: as the tropical troposphere warms, the mid-tropospheric lapse rate decreases on all the time scales considered.


Lapse Rate Climate System Internal Variability Rate Feedback Observe Variability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • N. P. Gillett
    • 1
  • M. R. Allen
    • 2
  • S. F. B. Tett
    • 3
  1. 1.Atmospheric, Oceanic and Planetary Physics, Oxford University, Oxford, UK e-mail:
  2. 2.Space Science Dept., Rutherford Appleton Laboratory, Chilton, Didcot, UKGB
  3. 3.Hadley Centre for Climate Prediction and Research, Meteorological Office, Bracknell, UKGB

Personalised recommendations