AI summary · arXiv: 2205.03895v1 · physics.ao-ph

On Sea-Level Change in Coastal Areas

V. Courtillot, JL. Le Mouël, F. Lopes

Original paper · DOI Submitted to arXiv on 08 May. 2022 J. Mar. Sci. Eng. 2022, 10, 1871 License: CC BY 4.0

The essentials

  • Tide gauge data and satellite observations analyzed using singular spectrum analysis (SSA)
  • Tide gauge data covers 200 years, satellite observations span over 30 years
  • SSA revealed annual to multi-decadal periods of ~90/80, 60, 30, 20, 10/11, and 4/5 years in both global sea-level based on tide gauges (GSLTG) and global sea-level based on combining tide gauges and satellite data (GSLl)
  • These periods are commensurable with the periods of Jovian planets - Neptune (165 yr), Uranus (84 yr), Saturn (29 yr), and Jupiter (12 yr)
  • First SSA components accounted for most of the signal variance: 95% for GSLTG, 89% for GSLl, 98% for global pressure (GP), and 75% for polar motion (RP)
  • Almost all identified periods in sea-level changes, motion of the rotation pole RP, and evolution of global pressure GP could be associated with Jovian planets
  • Smooth mathematical model of mean sea-level variations as a function of time using sine functions consisting of eight sine components representing an annual oscillation with peak-to-trough amplitude around 100 mm was determined
  • Uncertainties due to geography and tectonics highlighted but original data subjected to minimal manipulation
  • Recordings from only thirty-one stations selected based on longest possible span of time and best possible spatial coverage
  • Model obtained from these selected stations called GSLTG

Key points written by AI: they may contain errors, check them against the paper.

AI-generated keywords: Sea-level variations SSA analysis Tide gauge data Planetary movements Global pressure

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  • Original abstract
Sea-level variations have been a topic of interest for researchers for many years. In a recent study by Courtillot et al. (2020b), tide gauge data and satellite observations were analyzed using singular spectrum analysis (SSA) to determine their trends and periodic components. The tide gauge data used in the study covered a period of 200 years, while the satellite observations spanned over 30 years. The tide gauge data was subjected to SSA, which revealed annual to multi-decadal periods of ~90/80, 60, 30, 20, 10/11, and 4/5 years in both global sea-level based on tide gauges (GSLTG) and global sea-level based on combining tide gauges and satellite data (GSLl). These periods were found to be commensurable with the periods of the Jovian planets - Neptune (165 yr), Uranus (84 yr), Saturn (29 yr), and Jupiter (12 yr). The first SSA components accounted for most of the signal variance: 95% for GSLTG, 89% for GSLl, 98% for global pressure (GP), and 75% for polar motion (RP). The study also found that almost all the periods identified in sea-level changes, motion of the rotation pole RP, and evolution of global pressure GP could be associated with the Jovian planets. In addition to analyzing tide gauge data using SSA, Courtillot et al. also determined a smooth mathematical model of mean sea-level variations as a function of time using sine functions. This model consisted of eight sine components that represented an annual oscillation with peak-to-trough amplitude around 100 mm. The study also highlighted some uncertainties due to geography and tectonics but aimed to subject original data to minimal manipulation. To achieve this goal, recordings from only thirty-one stations were selected based on two criteria: the longest possible span of time and the best possible spatial coverage. The model obtained from these selected stations was called GSLTG.

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