Humidity data from Northern Hemisphere radiosonde stations with reasonably complete, temporally homogeneous records form the primary data set for this analysis. To quantify the interannual variations of water vapor, principal component analysis has been used as an objective means of determining patterns of coherent variation. Correlations between the pattern loadings and various circulation indices, such as representing ENSO, the North Atlantic Oscillation and the North Pacific Oscillation, will be shown. Patterns describing the interannual variations of water vapor will also be compared to those of temperature and precipitation. Finally, we will discuss how interannual variability of water vapor influences the interpretation of linear trends in humidity.
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