Removing tidal-period variations from time-series data using low-pass digital filters

Journal of Physical Oceanography
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Abstract

Several low-pass, digital filters are examined for their ability to remove tidal Period Variations from a time-series of water surface elevation for San Francisco Bay. The most efficient filter is the one which is applied to the Fourier coefficients of the transformed data, and the filtered data recovered through an inverse transform. The ability of the filters to remove the tidal components increased in the following order: 1) cosine-Lanczos filter, 2) cosine-Lanczos squared filter; 3) Godin filter; and 4) a transform fitter. The Godin fitter is not sufficiently sharp to prevent severe attenuation of 2–3 day variations in surface elevation resulting from weather events.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Removing tidal-period variations from time-series data using low-pass digital filters
Series title Journal of Physical Oceanography
DOI 10.1175/1520-0485(1982)012<0112:RTPVFT>2.0.CO;2
Volume 12
Year Published 1982
Language English
Publisher American Meteorological Society
Contributing office(s) San Francisco Bay-Delta, Pacific Regional Director's Office
Description 4 p.
First page 112
Last page 115
Online Only (Y/N) N
Additional Online Files (Y/N) N