A FORTRAN program to calculate tidal heights using the simplified harmonic method of tidal prediction

Whitcombe, L. J.

doi:10.1016/0098-3004(95)00132-8

Cited by 13 publications

(2 citation statements)

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“…A sea level can be thus predicted owing to the harmonic components of the tide signal (Whitcombe, 1996;Simon, 2007). However, the tide level which is observed can be different from the tidal prediction, mainly because of meteorological phenomena (Bode and Hardy, 1997;Olbert and Hartnett, 2010).…”

Section: Introductionmentioning

confidence: 99%

Regional frequency analysis of extreme storm surges along the French coast

Bardet

Duluc

Rebour

et al. 2011

Nat. Hazards Earth Syst. Sci.

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Abstract.A good knowledge of extreme storm surges is necessary to ensure protection against flood. In this paper we introduce a methodology to determine time series of skew surges in France as well as a statistical approach for estimating extreme storm surges. With the aim to cope with the outlier issue in surge series, a regional frequency analysis has been carried out for the surges along the Atlantic coast and the Channel coast. This methodology is not the current approach used to estimate extreme surges in France. First results showed that the extreme events identified as outliers in at-site analyses do not appear to be outliers any more in the regional empirical distribution. Indeed the regional distribution presents a curve to the top with these extreme events that a mixed exponential distribution seems to recreate. Thus, the regional approach appears to be more reliable for some sites than at-site analyses. A fast comparison at a given site showed surge estimates with the regional approach and a mixed exponential distribution are higher than surge estimates with an at-site fitting. In the case of Brest, the 1000-yr return surge is 167 cm in height with the regional approach instead of 126 cm with an at-site analysis.

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Section: Introductionmentioning

confidence: 99%

Regional frequency analysis of extreme storm surges along the French coast

Bardet

Duluc

Rebour

et al. 2011

Nat. Hazards Earth Syst. Sci.

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“…In order to choose an appropriate tide prediction approach, many effective factors should be taken into account, and a wide range of researches have focused on the same subject. Among well-known algorithms implemented to predict tide level are Kalman Filter (Yen et al 1996), Neural Network Models (Lee 2004), Harmonic Method (HM) (Doodson 1921;Schureman 1958;Godin 1972;Foreman 1979), Simplified Harmonic Method (SHM) (Whitcombe 1996), and Spectral Analysis (Vaníček 1971).…”

Section: Introductionmentioning

confidence: 99%

GIS-based seamless tide prediction framework in the Persian Gulf

2018

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Prediction of international water tides induced by gravitational centripetal forces of the Earth-Sun-Moon system is vital in various applications. Available methodologies and software that offer observation analysis and tide level prediction often support limited points of interest (mainly islands and ports), and they are mostly based on Harmonic Analysis algorithms. The present study proposes a geographical information system-based framework in order to store and retrieve tide information derived from co-tidal charts such as amplitude and phase charts. By retrieving the exact corresponding information of any point in Persian Gulf, the developed programme makes continuous tide prediction possible for every area of interest, including offshore locations, island boundaries, and alongside coasts of Persian Gulf's states. ARTICLE HISTORY

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Time-Series Analysis and Cyclostratigraphy

Weedon

2003

248

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Increasingly environmental scientists, palaeoceanographers and geologists are collecting quantitative records of environmental changes (time-series) from sediments, ice cores, cave calcite, corals and trees. This book explains how to analyse these records, using straightforward explanations and diagrams rather than formal mathematical derivations. All the main cyclostratigraphic methods are covered including spectral analysis, cross-spectral analysis, filtering, complex demodulation, wavelet and singular spectrum analysis. Practical problems of time-series analysis, including those of distortions of environmental signals during stratigraphic encoding, are considered in detail. Recent research into various types of tidal and climatic cycles is summarised. The book ends with an extensive reference section, and an appendix listing sources of computer algorithms. This book provides the ideal reference for all those using time-series analysis to study the nature and history of climatic and tidal cycles. It is suitable for senior undergraduate and graduate courses in environmental science, palaeoceanography and geology.

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A FORTRAN program to calculate tidal heights using the simplified harmonic method of tidal prediction

Cited by 13 publications

References 0 publications

Regional frequency analysis of extreme storm surges along the French coast

Regional frequency analysis of extreme storm surges along the French coast

GIS-based seamless tide prediction framework in the Persian Gulf

Time-Series Analysis and Cyclostratigraphy

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