Interdecadal oscillations and the warming trend in global temperature time series

THE ability to distinguish a warming trend from natural variability is critical for an understanding of the climatic response to increasing greenhouse-gas concentrations. Here we use singular spectrum analysis1 to analyse the time series of global surface air tem-peratures for the past 135 years2, allowing a secular warming trend and a small number of oscillatory modes to be separated from the noise. The trend is flat until 1910, with an increase of 0.4 °C since then. The oscillations exhibit interdecadal periods of 21 and 16 years, and interannual periods of 6 and 5 years. The interannual oscillations are probably related to global aspects of the El Niño-Southern Oscillation (ENSO) phenomenon3. The interdecadal oscillations could be associated with changes in the extratropical ocean circulation4. The oscillatory components have combined (peak-to-peak) amplitudes of >0.2 °C, and therefore limit our ability to predict whether the inferred secular warming trend of 0.005 °Cyr−1 will continue. This could postpone incontrovertible detection of the greenhouse warming signal for one or two decades.

[1]  Michael Ghil,et al.  Intraseasonal oscillations in the global atmosphere. I - Northern Hemisphere and tropics , 1991 .

[2]  J. Bjerknes Atlantic Air-Sea Interaction , 1964 .

[3]  R. Newell,et al.  Global marine temperature variation and the solar magnetic cycle , 1989 .

[4]  J. Hansen,et al.  Global trends of measured surface air temperature , 1987 .

[5]  R. Vautard,et al.  Singular spectrum analysis in nonlinear dynamics, with applications to paleoclimatic time series , 1989 .

[6]  Mark A. Cane,et al.  Experimental forecasts of El Niño , 1986, Nature.

[7]  Frank L. Vernon,et al.  Multitaper spectral analysis of high-frequency seismograms , 1987 .

[8]  G. P. King,et al.  Extracting qualitative dynamics from experimental data , 1986 .

[9]  T. P. Barnett,et al.  Multifield Analog Prediction of Short-Term Climate Fluctuations Using a Climate State vector , 1978 .

[10]  S. Levitus Interpentadal variability of temperature and salinity at intermediate depths of the North-Atlantic O , 1989 .

[11]  Klaus Fraedrich,et al.  Estimating the Dimensions of Weather and Climate Attractors , 1986 .

[12]  D. Thomson,et al.  Spectrum estimation and harmonic analysis , 1982, Proceedings of the IEEE.

[13]  David J. Thomson,et al.  Coherence established between atmospheric carbon dioxide and global temperature , 1990, Nature.

[14]  T. Wigley,et al.  Global temperature variations between 1861 and 1984 , 1986, Nature.

[15]  T. Karl Multi-year fluctuations of temperature and precipitation: The gray area of climate change , 1988 .

[16]  E. Rasmusson,et al.  The biennial component of ENSO variability , 1990 .

[17]  A. Oort,et al.  Correlation analyses between sea surface temperature anomalies in the eastern equatorial Pacific and the world ocean , 1990 .

[18]  D. Slepian Prolate spheroidal wave functions, fourier analysis, and uncertainty — V: the discrete case , 1978, The Bell System Technical Journal.

[19]  D. Parker,et al.  Worldwide marine temperature fluctuations 1856–1981 , 1984, Nature.