Document of bibliographic reference 360185

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
Combination of Tsoft and ET34-ANA-V80 software for the preprocessing and analysis of tide gauge data in French Polynesia
Abstract
Since 2008 a network of five sea-level monitoring stations was progressively installed in French Polynesia. The stations are autonomous and data, collected at a sampling rate of 1 or 2 min, are not only recorded locally, but also transferred in real time by a radio-link to the NOAA through the GOES satellite. The new ET34-ANA-V80 version of ETERNA, initially developed for Earth Tides analysis, is now able to analyze ocean tides records. Through a two-step validation scheme, we took advantage of the flexibility of this new version, operated in conjunction with the preprocessing facilities of the Tsoft software, to recover corrected data series able to model sea-level variations after elimination of the ocean tides signal. We performed the tidal analysis of the tide gauge data with the highest possible selectivity (optimal wave grouping) and a maximum of additional terms (shallow water constituents). Our goal was to provide corrected data series and modelled ocean tides signal to compute tide-free sea-level variations as well as tidal prediction models with centimeter precision. We also present in this study the characteristics of the ocean tides in French Polynesia and preliminary results concerning the non-tidal variations of the sea level concerning the tide gauge setting.
WebOfScience code
https://www.webofscience.com/wos/woscc/full-record/WOS:000926632500001
Bibliographic citation
Ducarme, B.; Barriot, J.-P.; Zhang, F. (2023). Combination of Tsoft and ET34-ANA-V80 software for the preprocessing and analysis of tide gauge data in French Polynesia. Journal of Geodesy and Geodynamics 14(1): 26-34. https://dx.doi.org/10.1016/j.geog.2022.05.002
Topic
Marine
Is peer reviewed
true
Access rights
open access
Is accessible for free
true

Authors

author
Name
Bernard Ducarme
Affiliation
Université Catholique de Louvain; Science and Technology Sector; Earth and Life Institute; Earth and Climate division
author
Name
Jean-Pierre Barriot
author
Name
Fangzhao Zhang

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.1016/j.geog.2022.05.002

Document metadata

date created
2023-01-09
date modified
2023-04-12