The goal of this experiment is to find climate phenomena which would
have prominent variability in the interannual timescale. In other
words, we would like to find climatic events which last longer than
one year and which might have quasi-periodic behavior. A climate
phenomenon has prominent variability in a given timescale if its
corresponding time signal contains a large relative amount of relevant
frequencies. For interannual variability, the period of the relevant
spectral components would be longer than one year. Thus, the
interannual signal structure can be emphasized by using, for example,
the band-pass filter whose frequency response is shown on the
right. The abscissa of the figure is labeled in terms of periods in
years (y) and months (m). This is a linear temporal filter and
therefore the three-step DSS procedure (whitening-filtering-PCA) can
be used to find the most prominent interannual phenomena.
Time course | Surface temperature, °C | Sea level pressure, Pa | Precipitation, kg/m² |
Surface temperature, °C | Sea level pressure, Pa |
Precipitation, kg/m² |
You are at: CIS → ENSO as the component with the most prominent interannual variability
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