Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
An improved method for computing tidal datums
https://orcid.org/0000-0003-1813-4376
Abstract Tidal datums are reference water levels describing the characteristic periodic variations in sea surface elevation relative to a vertical datum at a particular location. There are two common approaches for computing tidal datums: 1) the harmonic constituent approach, and 2) the peaks approach. Using a new method based on the peaks approach, tidal datums were computed and compared with theoretically equivalent constituent-based datums for a global set of 206 coastal tide gauges. The peak-based method described herein identifies high and low water turning points and then systematically classifies each according to semidiurnal, diurnal, and spring tidal cycles. The classified peaks and troughs in both predicted (excluding non-astronomical influences) and observed water level time series were averaged over a 19-year period. Tidal datums, such as Mean High Water Springs and Mean Higher High Water, are relied upon by many coastal authorities to define the tidal component of coastal inundation thresholds. Differences of >20 cm were found across tidal regimes and continents, demonstrating that the peaks approach is preferable over the constituent approach where such differences are non-negligible. An open source Tide Peaks Toolbox for use in MATLAB is presented for computing peak-based datums from any high frequency water level observation record.
Highlights A new method is described for computing the arithmetic means of specified high and low water turning points, reliably producing tidal datums consistent with their definitions. Differences between tidal datums computed by the peaks method and the constituent method are shown to be non-negligible in possible coastal hazard scenarios for many locations. An open source MATLAB Toolbox is presented that computes such tidal datums from high and low water peaks and troughs in a tide gauge record.
An improved method for computing tidal datums
https://orcid.org/0000-0003-1813-4376
Abstract Tidal datums are reference water levels describing the characteristic periodic variations in sea surface elevation relative to a vertical datum at a particular location. There are two common approaches for computing tidal datums: 1) the harmonic constituent approach, and 2) the peaks approach. Using a new method based on the peaks approach, tidal datums were computed and compared with theoretically equivalent constituent-based datums for a global set of 206 coastal tide gauges. The peak-based method described herein identifies high and low water turning points and then systematically classifies each according to semidiurnal, diurnal, and spring tidal cycles. The classified peaks and troughs in both predicted (excluding non-astronomical influences) and observed water level time series were averaged over a 19-year period. Tidal datums, such as Mean High Water Springs and Mean Higher High Water, are relied upon by many coastal authorities to define the tidal component of coastal inundation thresholds. Differences of >20 cm were found across tidal regimes and continents, demonstrating that the peaks approach is preferable over the constituent approach where such differences are non-negligible. An open source Tide Peaks Toolbox for use in MATLAB is presented for computing peak-based datums from any high frequency water level observation record.
Highlights A new method is described for computing the arithmetic means of specified high and low water turning points, reliably producing tidal datums consistent with their definitions. Differences between tidal datums computed by the peaks method and the constituent method are shown to be non-negligible in possible coastal hazard scenarios for many locations. An open source MATLAB Toolbox is presented that computes such tidal datums from high and low water peaks and troughs in a tide gauge record.
An improved method for computing tidal datums
https://orcid.org/0000-0003-1813-4376
Abstract Tidal datums are reference water levels describing the characteristic periodic variations in sea surface elevation relative to a vertical datum at a particular location. There are two common approaches for computing tidal datums: 1) the harmonic constituent approach, and 2) the peaks approach. Using a new method based on the peaks approach, tidal datums were computed and compared with theoretically equivalent constituent-based datums for a global set of 206 coastal tide gauges. The peak-based method described herein identifies high and low water turning points and then systematically classifies each according to semidiurnal, diurnal, and spring tidal cycles. The classified peaks and troughs in both predicted (excluding non-astronomical influences) and observed water level time series were averaged over a 19-year period. Tidal datums, such as Mean High Water Springs and Mean Higher High Water, are relied upon by many coastal authorities to define the tidal component of coastal inundation thresholds. Differences of >20 cm were found across tidal regimes and continents, demonstrating that the peaks approach is preferable over the constituent approach where such differences are non-negligible. An open source Tide Peaks Toolbox for use in MATLAB is presented for computing peak-based datums from any high frequency water level observation record.
Highlights A new method is described for computing the arithmetic means of specified high and low water turning points, reliably producing tidal datums consistent with their definitions. Differences between tidal datums computed by the peaks method and the constituent method are shown to be non-negligible in possible coastal hazard scenarios for many locations. An open source MATLAB Toolbox is presented that computes such tidal datums from high and low water peaks and troughs in a tide gauge record.
An improved method for computing tidal datums
Palmer, Karen (Autor:in) / Watson, Christopher S. (Autor:in) / Hunter, John R. (Autor:in) / Hague, Ben S. (Autor:in) / Power, Hannah E. (Autor:in)
Coastal Engineering ; 184
10.06.2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Highlight Article - Implementing Tidal Datums in GeoCue
| Online Contents | 2009
Online Contents | 1998
Online Contents | 1997
Online Contents | 1998