Removing tidal-period variations from time-series data using low-pass digital filters
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.
Citation Information
Publication Year | 1982 |
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Title | Removing tidal-period variations from time-series data using low-pass digital filters |
DOI | 10.1175/1520-0485(1982)012<0112:RTPVFT>2.0.CO;2 |
Authors | Roy A. Walters, Cynthia Heston |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Journal of Physical Oceanography |
Index ID | 70174408 |
Record Source | USGS Publications Warehouse |
USGS Organization | San Francisco Bay-Delta; Pacific Regional Director's Office |