earth_science4 papersavg year 2025weak evidence

The sensitivity of tidal trends to data quality and changes in data

Research gap analysis derived from 4 earth_science papers in our local library.

The gap

The sensitivity of tidal trends to data quality and changes in data. The limited availability of time-series data on beach slopes, which can lead to errors in estimations. The need to filter out large annual fluctuations in mean shorelines due to coastal erosion and human activity.

Evidence profile

Sourced from the stated challenges and stated research gap and limitations section and future-work section of the source papers, classified as general, drawn from work published between 2024 and 2026, spanning 4 journals. Those papers have been cited 14 times in total.

Research trend

Established — well-defined area with open sub-problems.

Supporting evidence — 5 representative gaps

  • Beach scale tidal variations observed from satellite-derived shoreline time series (2026) · Communications Earth & Environment · doi

    The sensitivity of tidal trends to data quality and changes in data. The limited availability of time-series data on beach slopes, which can lead to errors in estimations. The need to filter out large annual fluctuations in mean shorelines due to coastal erosion and human activity.

    generalstated challengesevidence 5/5
    Keywords: sensitivity tidal trends data quality changes limited availability
  • An improvement to short term variability in Global Mean Sea Level reconstruction (2026) · Ocean science · doi

    The gap in the current GMSL variability estimates due to differences between tide gauge observations and altimetry data. The need to improve the GMSL variability estimates prior 1993. The lack of a method to adjust the tide gauge observations for Signal Differences prior to EOF reconstruction.

    generalstated research gapevidence 5/5
    Keywords: gap current gmsl variability estimates due differences between
  • Long-Term and Decadal Sea-Level Trends of the Baltic Sea Using Along-Track Satellite Altimetry (2024) · Remote Sensing · cited 8× · doi

    The quality of historical tide gauge records could be quite heterogeneous. The land-bound tide gauge observations yield the relative sea level, which may be susceptible to uncertainties due to vertical land motion. Data gaps in tide gauge records may influence the calculated trend estimates.

    generalstated challengesevidence 5/5
    Keywords: quality historical tide gauge records quite heterogeneous land-bound
  • Sea level reconstruction reveals improved separation of regional climate and trend patterns over the last seven decades (2025) · Earth system science data · cited 3× · doi

    The current 29-year dataset derived from satellite altimetry is insufficient to capture long-term trends, - Long-term tide gauge records are hindered by scarcity and spatial unevenness, - The deficiencies of tide gauge records and the temporal mismatches between the two types of measurements limit the quality of the reconstructed sea level, - The study uses a limited number of tide gauge records, - The study focuses on a specific time period, from January 1950 to January 2022

    generallimitations sectionevidence 5/5
    Keywords: current year dataset derived satellite altimetry insufficient capture
  • Sea level reconstruction reveals improved separation of regional climate and trend patterns over the last seven decades (2025) · Earth system science data · cited 3× · doi

    Further research is needed to improve the quality of the reconstructed sea level, - Studies should focus on increasing the number of global tide records and reducing the temporal mismatches between satellite altimetry and tide gauge records, - Research should investigate the effects of other climate patterns on sea level changes, - More work is needed to develop more accurate methods for reconstructing sea level

    generalfuture-work sectionevidence 4/5
    Keywords: further research needed improve quality reconstructed sea level

Questions about this gap

The sensitivity of tidal trends to data quality and changes in data. The limited availability of time-series data on beach slopes, which can lead to errors in estimations. The need to filter out… This is supported by 5 representative gap statements extracted from 4 papers, rated weak evidence.

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