Removing tidal-period variations from time-series data using low-pass digital filters
Journal of Physical Oceanography
By: Roy A. Walters and Cynthia Heston
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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.
| 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 |
| Google Analytic Metrics | Metrics page |