Trends in the relative sea level rises in French Polynesia for coastal submersion assessment from the comparative analysis of GLORYS and tide gauges / GNSS data

In this study, we performed a comparative analysis, on different sites in French Polynesia, between 11 years of Tide Gauge (TG) and GNSS data and the 27 years of gridded sea level data from GLORYS (GL). The TG data provide Relative Sea Level variations (ΔRSL), while the GNSS provide Vertical Land Motions (VLM) and GL Absolute Sea Level Variations (ΔASL), at six sites (Papeete, Vairao, Rikitea, Tubuai, Makemo, and Rangiroa). In both data sets (TG and GL records), we found all the frequencies associated with climate indicators like the Interdecadal Pacific Oscillation (IPO), the Pacific Decadal Oscillation (PDO), and the El Niño Southern Oscillation (ENSO). A regional difference is found between a Northern group (TGs from the Society and Tuamotu archipelagos) and a Southern group (TGs from the Gambier and Austral islands). A strong signal of the IPO is detected at the Tubuai TG (Austral Islands), this signal could blur the secular trend. The main conclusions of this paper are: a) the inter-annual IPO variability is the only phenomenon affecting the ΔASLGL determination on the 27-year long GL series; b) due to the inter-annual variability, the 11-year time span of TG records is too short to determine reliable long-term ΔRSLTG trends; c) The subtraction of GL data from TG data, which eliminates the common inter-annual variability, provides a proxy for the determination of VLMTG, as -VLM = ∆RSL − ∆ASL and the VLMTG are reliable when compared to the VLM derived from GNSS data records; d) reliable ∆RSL=∆ASLGL-VLMTG trends are obtained from the combination of TG and GL data. ∆RSL values around 2.2 mm/yr are obtained at Vairao and Rangiroa. For the Southern group, much larger values are observed due mainly to the contribution of IPO. After correction we get 2.45 mm/yr at Rikitea and 3.33 mm/yr at Tubuai.

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Publication Details

Journal
Regional Studies in Marine Science
Published
2026-03-01
DOI
https://doi.org/10.1016/j.rsma.2026.104950
Primary Topic
Geophysics and Gravity Measurements
Type
article
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article

Trends in the relative sea level rises in French Polynesia for coastal submersion assessment from the comparative analysis of GLORYS and tide gauges / GNSS data

Marania Hopuare, Xianjie Li, Keitapu Maamaatuaiahutapu, B. Ducarme et al.
Regional Studies in Marine Science
Geophysics and Gravity Measurements
article

Trends in the relative sea level rises in French Polynesia for coastal submersion assessment from the comparative analysis of GLORYS and tide gauges / GNSS data

Marania Hopuare, Xianjie Li, Keitapu Maamaatuaiahutapu, B. Ducarme, Jean-Pierre Barriot
article en

Abstract

In this study, we performed a comparative analysis, on different sites in French Polynesia, between 11 years of Tide Gauge (TG) and GNSS data and the 27 years of gridded sea level data from GLORYS (GL). The TG data provide Relative Sea Level variations (ΔRSL), while the GNSS provide Vertical Land Motions (VLM) and GL Absolute Sea Level Variations (ΔASL), at six sites (Papeete, Vairao, Rikitea, Tubuai, Makemo, and Rangiroa). In both data sets (TG and GL records), we found all the frequencies associated with climate indicators like the Interdecadal Pacific Oscillation (IPO), the Pacific Decadal Oscillation (PDO), and the El Niño Southern Oscillation (ENSO). A regional difference is found between a Northern group (TGs from the Society and Tuamotu archipelagos) and a Southern group (TGs from the Gambier and Austral islands). A strong signal of the IPO is detected at the Tubuai TG (Austral Islands), this signal could blur the secular trend. The main conclusions of this paper are: a) the inter-annual IPO variability is the only phenomenon affecting the ΔASLGL determination on the 27-year long GL series; b) due to the inter-annual variability, the 11-year time span of TG records is too short to determine reliable long-term ΔRSLTG trends; c) The subtraction of GL data from TG data, which eliminates the common inter-annual variability, provides a proxy for the determination of VLMTG, as -VLM = ∆RSL − ∆ASL and the VLMTG are reliable when compared to the VLM derived from GNSS data records; d) reliable ∆RSL=∆ASLGL-VLMTG trends are obtained from the combination of TG and GL data. ∆RSL values around 2.2 mm/yr are obtained at Vairao and Rangiroa. For the Southern group, much larger values are observed due mainly to the contribution of IPO. After correction we get 2.45 mm/yr at Rikitea and 3.33 mm/yr at Tubuai.

Regional Studies in Marine Science
Wuhan University (CN), State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN), University of French Polynesia (PF), UCLouvain (BE)
Life below water
Openalex Percentile: Top 4%
Geophysics and Gravity Measurements
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