Global tidal variables

SND-ID: ecds0243-1. Version: 1.0. DOI: https://doi.org/10.5879/c49r-x993

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Citation

Creator/Principal investigator(s)

Matthias Obst - University of Gothenburg

Research principal

University of Gothenburg - Department of Marine Sciences rorId

Description

This dataset contains global tidal variables in form of GeoTIFF raster layers generated by Vestbo et al (2018). The raster layers were generated using the Finite Element Solution oceanographic model (FES2012), provided by Noveltis, Legos and CLS Space Oceanography Division and distributed by AVISO+ (http://www.aviso.altimetry.fr). FES2012 includes overall 32 tidal constituents distributed on 1/16° grids (amplitude and phase), corresponding to 3.75 arc-minutes.

The dataset contains the following five raster layers, plus the algorithm for calling the FES program (written in C).

(1) Annual average cycle amplitude in cm.
(2) Maximum annual cycle amplitude in cm.
(3) Annual standard deviation of cycle amplitude in cm.
(4) Annual average duration of tidal cycles in hours.
(5) Annual number of cycles.

... Show more..
This dataset contains global tidal variables in form of GeoTIFF raster layers generated by Vestbo et al (2018). The raster layers were generated using the Finite Element Solution oceanographic model (FES2012), provided by Noveltis, Legos and CLS Space Oceanography Division and distributed by AVISO+ (http://www.aviso.altimetry.fr). FES2012 includes overall 32 tidal constituents distributed on 1/16° grids (amplitude and phase), corresponding to 3.75 arc-minutes.

The dataset contains the following five raster layers, plus the algorithm for calling the FES program (written in C).

(1) Annual average cycle amplitude in cm.
(2) Maximum annual cycle amplitude in cm.
(3) Annual standard deviation of cycle amplitude in cm.
(4) Annual average duration of tidal cycles in hours.
(5) Annual number of cycles.

A detailed description of the data generation procedure is provided in the original paper (Vestbo et al 2018).
References: Vestbo S, Obst M, Quevedo-Fernandez F, Intanai I, Funch P (2018). Present and Potential Future Distributions of Asian Horseshoe Crabs Determine Areas for Conservation. Frontiers in Marine Science. doi: 10.3389/fmars.2018.00164 https://www.frontiersin.org/articles/10.3389/fmars.2018.00164/abstract

The dataset contains the following five raster layers, plus the algorithm for calling the FES program (written in C):
(1) Annual average cycle amplitude in cm
(2) Maximum annual cycle amplitude in cm
(3) Annual standard deviation of cycle amplitude in cm
(4) Annual average duration of tidal cycles in hours
(5) Annual number of cycles Show less..

Data contains personal data

No

Method and outcome

Data format / data structure

Data collection
Geographic coverage

Geographic spread

Geographic description: Global coverage

Administrative information

Responsible department/unit

Department of Marine Sciences

Topic and keywords

Research area

Earth and related environmental sciences (Standard för svensk indelning av forskningsämnen 2011)

Oceans (INSPIRE topic categories)

Environment (INSPIRE topic categories)

Publications

Vestbo S, Obst M, Quevedo-Fernandez F, Intanai I, Funch P (2018). Present and Potential Future Distributions of Asian Horseshoe Crabs Determine Areas for Conservation. Frontiers in Marine Science (In Press).
Frontiers in Marine Science

If you have published anything based on these data, please notify us with a reference to your publication(s). If you are responsible for the catalogue entry, you can update the metadata/data description in DORIS.

Published: 2017-12-11
Last updated: 2019-06-11