Hostname: page-component-cd9895bd7-fscjk Total loading time: 0 Render date: 2024-12-23T14:31:51.105Z Has data issue: false hasContentIssue false

Time-series analysis of tides and similar motions of the sea surface

Published online by Cambridge University Press:  14 July 2016

D. E. Cartwright*
Affiliation:
National Institute of Oceanography, Wormley, Godalming, Surrey, U. K.

Extract

This survey article, most of whose results are described in greater detail in Munk and Cartwright (1966), which will hereafter be abbreviated to MC, describes methods which aim to separate the response of the sea level at a given place due to various exciting forces such as gravity, solar radiation, non-linear effects, and weather. In so doing, it provides predictors for sea level which are formally simpler and somewhat more accurate than those given by the classical methods.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Amos, D. E. and Koopmans, L. H. (1963) Tables of the distribution of the coefficient of coherence for stationary bivariate Gaussian processes. Sandia Corporation Monograph SCR–483, U.S.A. Google Scholar
Munk, W. H. and Cartwright, D. E. (1966) Tidal spectroscopy and prediction Phil. Trans. A 259, 533581.Google Scholar
Rossiter, J. R. (1959) Research on methods of forecasting storm surges on the east and south coasts of Great Britain. Quart. J.R. Met. Soc. 85, 262277.CrossRefGoogle Scholar