National Oceanic and
Atmospheric Administration
United States Department of Commerce


FY 2009

Principal component analysis of tsunami buoy record: Tide prediction and removal

Tolkova, E.

Dynam. Atmos. Ocean, 46(1–4), 62–82, doi: 10.1016/j.dynatmoce.2008.03.001 (2009)

Principal component or Empirical Orthogonal Function (EOF) analysis is applied to tsunameter records by treating them as two-dimensional signals, where the second dimension is created by breaking a single time series into cycles and treating the cycle number as a second dimension. Under certain conditions, principal components calculated from different records are shown to determine the same functional space. Signal decomposition into pre-calculated principal components is used to predict or extract the tidal component of a record. This work shows that EOF processing allows for short-term tidal predictions at tsunami buoy locations with the precision of more advanced methods and with minimal a priori knowledge about tidal dynamics. Also shown is that filtering in EOF domain is sensitive to the non-tidal component of a record and therefore presents a tool for early tsunami detection and quantification.

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