Lc. Breaker et al., Intraseasonal oscillations in sea surface temperature, wind stress, and sea level off the central California coast, CONT SHELF, 21(6-7), 2001, pp. 727-750
The wavelet transform is used to conduct spectral and cross-spectral analys
is of daily time series of sea surface temperature (SST), surface wind stre
ss, and sea level off the central California coast for an 18-year period fr
om 1974 through 1991. The spectral band of primary interest is given by int
raseasonal time scales ranging from 30 to 70 days. Using the wavelet transf
orm, we examine the evolutionary behavior of the frequently observed 40-50
day oscillation originally discovered in the tropics by Madden and Julian,
and explore the relative importance of atmospheric vs oceanic forcing for a
range of periods where both could be important. Wavelet power spectra of e
ach variable reveal the event-like, nonstationary nature of the intraseason
al band. Peaks in wavelet power typically last for 3-4 months and occur, on
average, approximately once every 18 months. Thus, their occurrence and/or
duration off central California is somewhat reduced in comparison to their
presence in the tropics. Although peaks in wind stress often coincide with
peaks in SST and/or sea level, no consistent relationships between the var
iables was initially apparent. The spectra suggest, however, that relations
hips between the variables, if and where they do exist, are event-dependent
and thus have time scales of the same order. Cross-wavelet spectra between
wind stress and SST indicate that periods of high coherence (> 0.90) occur
on at least six occasions over the 18-year period of record. Phase differe
nces tend to be positive, consistent with wind forcing. For wind stress vs
sea level, the cross-wavelet spectra indicate that periods of high coherenc
e, which tend to correlate with lags close to zero, also occur, but are les
s frequent. As with SST, the periods of high coherence usually coincide wit
h events in the wavelet power spectra. The somewhat weaker relationship bet
ween wind stress and sea level may be due to an independent contribution to
sea level through remote forcing by the ocean originating in the tropics.
Finally, simple dynamical arguments regarding the lag relationships between
the variables appear to be consistent with the cross-wavelet results. (C)
2001 Elsevier Science Ltd. All rights reserved.