Evaluation of competing El Nino/Southern Oscillation (ENSO) theories r
equires one to identify separate spectral peaks in equatorial wind and
sea-surface temperature (SST) time series. To sharpen this identifica
tion, we examine the seasonal-to-interannual variability of these fiel
ds by the data-adaptive method of multi-channel singular spectrum anal
ysis (M-SSA). M-SSA is applied to the equatorial band (4 degrees N-4 d
egrees S), using 1950-1990 data from the Comprehensive Ocean and Atmos
phere Data Set. Two major interannual oscillations are found in the eq
uatorial SST and surface zonal wind fields, U. The main peak is center
ed at about 52-months; we refer to it as the quasi-qundrennial (QQ) mo
de. Quasi-biennial (QB) variability is split between two modes, with p
eriods near 28 months and 24 months. A faster, 15-month oscillation ha
s smaller amplitude. The QQ mode dominates the variance and has the mo
st distinct spectral peak. In time-longitude reconstructions of this m
ode, the SST has the form of a standing oscillation in the eastern equ
atorial Pacific, while the U-field is dominated by a standing oscillat
ion pattern in the western Pacific and exhibits also slight eastward p
ropagation in the central and western Pacific. The locations of maximu
m anomalies in both QB modes are similar to those of the QQ mode, Slig
ht westward migration in SST, across the eastern and central, and east
ward propagation of U, across the western and central Pacific, are fou
nd. The significant wind anomaly covers a smaller region than for the
QQ. The QQ and QB modes together represent the ENSO variability well a
nd interfere constructively during major events. The sharper definitio
n of the QQ spectral peak and its dominance are consistent with the ''
devil's staircase'' interaction mechanism between the annual cycle and
ENSO.