Characterizing global CO2 interannual variability with empirical orthogonal function/principal component (EOF/PC) analysis

Details Characterizing global CO2 interannual variability with empirical orthogonal function/principal component (EOF/PC) analysis Characterizing global CO2 interannual variability with empirical orthogonal function/principal component (EOF/PC) analysis

Oct 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002georl..29s..27l&link_type=abstract

Geophysical Research Letters, Volume 29, Issue 19, pp. 27-1, CiteID 1921, DOI 10.1029/2001GL014419

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Global Change: Atmosphere (0315, 0325), Global Change: Climate Dynamics (3309), Global Change: Biogeochemical Processes (4805)

Scientific paper

EOF/PC analysis is applied to low-pass filtered deseasonalized CO2 growth rates from a global observational network, and two statistically-significant modes of interannual variability are identified. The spatial structure of the 1st mode is characterized by an interhemispheric gradient, while the 2nd mode is characterized by a land-ocean dipole in the Northern Hemisphere midlatitudes. The gravest PC reflects ENSO-like variability, although the phase relationship to ENSO appears to change around 1990. However, the leading PC exhibits a statistically-significant, stationary phase relative to an index of the Pacific Decadal Oscillation (PDO) throughout the sampling period. The next-to-leading PC, on the other hand, shows little relation to any of the climate indices examined here. These relationships intimate that, while ENSO may play a substantial role in interannual CO2 growth rate variability, the ENSO-growth rate relationship is not stationary, and additional modes of interannual variability may significantly influence year-to-year changes in CO2.

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