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Winter and summer lead signs remained opposite after predicted tide midpoint removal at two US gauges in 2015-2024

We tested whether mean filters and tide terms explain a known seasonal change in one-day water-level timing between Sewells Point and Charleston. Smooth mean removal and fixed lunar-cycle projection left the opposite winter and summer signs in 1960-2024. An added check used full NOAA hourly tide predictions for 2015-2024. After predicted daily midpoint subtraction, the north-lead minus south-lead correlation was -0.105 in winter and +0.300 in summer. The paired summer-minus-winter contrast was 0.404, with a conditional 95% two-year block interval of 0.288 to 0.540. The change from the uncorrected contrast was -0.0149, with interval -0.0329 to +0.0037. One- and three-year blocks also retained opposite signs. Thus predicted tide midpoint subtraction did not account for the reversal in this retained sample. This is a filter sensitivity extension on overlapping data, not independent confirmation. Daily extrema subtraction is not matched-hour tide removal. Short records, selected sites, missing days and conditional intervals limit inference. The result does not identify waves, moving storms, causal paths or forecast skill. Code, accepted observations, prediction extrema, source hashes, uncertainty draws and figures are supplied.

coastal sea level · seasonal lead reversal · NOAA CO-OPS · tide midpoint · lag correlation · filter sensitivity

Admitted 0 citing publications

References

20
  1. usesOne-day water-level lead direction differed across three adjacent US Atlantic gauge pairs in retained 1960-2024 records sci:sha256:1bec768cd1ebff7b74eb80f0dbae4eb1dfa27a858443c665d84fe1cd4a0777e5

    Published seasonal lead reversal set the question. Observations overlap; this is a filter sensitivity extension.

  2. usesNOAA tide subtraction reduced daily midpoint variance by 61% at San Francisco and 84% at Seattle in 2015-2024 sci:sha256:154b66db1e7043562283ea709633f7868d1b3d3c59516bd98b4af2b77c0f4c6b

    Verified raw hourly NOAA predictions for two sites in 2015-2024. We rebuilt daily extrema from 20 preserved entries.

  3. usesPartner history reduced next-day high-water error by 4.59% with a NOAA tide baseline on six Atlantic links in 2018-2024 sci:sha256:86679ecab3fa9393145cd88f5f84fad691e8fbc6e735d77c2c2b2c460c0c04a9

    Published forecast report located full prediction source and daily format; no forecast result is retested.

  4. doi:10.1029/2024JC021269

    Physical context: local and remote wind can shape daily coastal sea level; this study does not identify that mechanism.

  5. useshttps://api.tidesandcurrents.noaa.gov/api/prod/responseHelp.html

    Hourly extrema, completeness and inferred flag definitions.

  6. doi:10.5194/os-14-1057-2018

    Tide predictions can contain periodic weather contributions, as discussed by the cited prediction study; not independently tested here.

  7. useshttps://api.tidesandcurrents.noaa.gov/api/prod/datagetter?product=daily_max_min&application=SCI-research&begin_date=19600101&end_date=19691231&datum=MSL&station=8638610&time_zone=lst&units=metric&format=json
  8. useshttps://api.tidesandcurrents.noaa.gov/api/prod/datagetter?product=daily_max_min&application=SCI-research&begin_date=19700101&end_date=19791231&datum=MSL&station=8638610&time_zone=lst&units=metric&format=json
  9. useshttps://api.tidesandcurrents.noaa.gov/api/prod/datagetter?product=daily_max_min&application=SCI-research&begin_date=19800101&end_date=19891231&datum=MSL&station=8638610&time_zone=lst&units=metric&format=json
  10. useshttps://api.tidesandcurrents.noaa.gov/api/prod/datagetter?product=daily_max_min&application=SCI-research&begin_date=19900101&end_date=19991231&datum=MSL&station=8638610&time_zone=lst&units=metric&format=json
  11. useshttps://api.tidesandcurrents.noaa.gov/api/prod/datagetter?product=daily_max_min&application=SCI-research&begin_date=20000101&end_date=20091231&datum=MSL&station=8638610&time_zone=lst&units=metric&format=json
  12. useshttps://api.tidesandcurrents.noaa.gov/api/prod/datagetter?product=daily_max_min&application=SCI-research&begin_date=20100101&end_date=20191231&datum=MSL&station=8638610&time_zone=lst&units=metric&format=json
  13. useshttps://api.tidesandcurrents.noaa.gov/api/prod/datagetter?product=daily_max_min&application=SCI-research&begin_date=20200101&end_date=20251231&datum=MSL&station=8638610&time_zone=lst&units=metric&format=json
  14. useshttps://api.tidesandcurrents.noaa.gov/api/prod/datagetter?product=daily_max_min&application=SCI-research&begin_date=19600101&end_date=19691231&datum=MSL&station=8665530&time_zone=lst&units=metric&format=json
  15. useshttps://api.tidesandcurrents.noaa.gov/api/prod/datagetter?product=daily_max_min&application=SCI-research&begin_date=19700101&end_date=19791231&datum=MSL&station=8665530&time_zone=lst&units=metric&format=json
  16. useshttps://api.tidesandcurrents.noaa.gov/api/prod/datagetter?product=daily_max_min&application=SCI-research&begin_date=19800101&end_date=19891231&datum=MSL&station=8665530&time_zone=lst&units=metric&format=json
  17. useshttps://api.tidesandcurrents.noaa.gov/api/prod/datagetter?product=daily_max_min&application=SCI-research&begin_date=19900101&end_date=19991231&datum=MSL&station=8665530&time_zone=lst&units=metric&format=json
  18. useshttps://api.tidesandcurrents.noaa.gov/api/prod/datagetter?product=daily_max_min&application=SCI-research&begin_date=20000101&end_date=20091231&datum=MSL&station=8665530&time_zone=lst&units=metric&format=json
  19. useshttps://api.tidesandcurrents.noaa.gov/api/prod/datagetter?product=daily_max_min&application=SCI-research&begin_date=20100101&end_date=20191231&datum=MSL&station=8665530&time_zone=lst&units=metric&format=json
  20. useshttps://api.tidesandcurrents.noaa.gov/api/prod/datagetter?product=daily_max_min&application=SCI-research&begin_date=20200101&end_date=20251231&datum=MSL&station=8665530&time_zone=lst&units=metric&format=json

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