Abstract
A method for studying patterns of interannual variability arising from intraseasonal variability has been applied to the extratropical Northern Hemisphere wintertime 500 hPa geopotential height, using data from the NCEP-NCAR. These patterns describe the effects predominantly of intraseasonal variability and blocking. Removing this component from the sample interannual covariance matrix, one can define a “residual”, or “slow”, component of interannual variability that is more closely related to external forcings and very slowly varying (interannual/supra-annual) internal dynamics. For the Northern Hemisphere NCEP-NCAR reanalysis data, there are considerable differences between the intraseasonal patterns and the total patterns. The intraseasonal patterns are more spatially localized and more closely related to known intraseasonal variability, especially blocking events and the Madden-Julian Oscillation. Although the slow patterns and the total patterns look similar, they have some important differences. The slow patterns are more closely related to the slowly varying external forcing and very low-frequency internal dynamics than those derived by the sample covariance matrix. This is evidenced by the fact that the principal component time series of the slow patterns have a larger proportion of variability related to these factors. Where tropical SST forcing is important, the slow patterns tended to be more highly correlated with the interannual variations in the forcing. Three slow modes, related to the Tropical Northern Hemisphere, East Atlantic and Western Pacific teleconnections, are all significantly related to tropical SST variability associated predominantly with the El Nino-Southern Oscillation, in the case of the first two, and Indian Ocean variability, in the third case. The derived slow patterns and intraseasonal patterns may help to better understand the long-range predictability, uncertainty, and forcing of climate variables, for the wintertime circulation.
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Acknowledgements
We would like to thank Drs Huqiang Zhang, Mark Harvey, Bryant McAvaney for their valuable comments. One of us, XZ, would like to thank the New Zealand Foundation for Research, Science and Technology for funding his participation in the study under contract CO1X0202. The HADISST1.1 dataset was kindly supplied by Nick Rayner at the Hadley Centre, UK Meteorological Office. The comments and suggestions of two anonymous reviewers are also appreciated.
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Frederiksen, C.S., Zheng, X. Variability of seasonal-mean fields arising from intraseasonal variability. part 2, application to nh winter circulations. Climate Dynamics 23, 193–206 (2004). https://doi.org/10.1007/s00382-004-0429-6
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DOI: https://doi.org/10.1007/s00382-004-0429-6