sciscape Publications
← All publications

A fixed 18.61-year cycle reduced monthly tidal-range prediction error at five of six US gauges in 2000-2025

We tested a fixed 18.61-year cycle in monthly great diurnal tidal range at six US gauges. We fit models to retained months before 2000 and predicted retained months in 2000-2025 without updates. Both models included season, linear time, and a 4.425-year cycle. Adding the long cycle reduced root mean squared error at five gauges by 8.1% to 45.6%. It raised error at The Battery by 25.7%. Three-year block intervals for mean squared loss differences were above zero at four gauges and crossed zero at two. At The Battery, centered error fell but mean prediction error rose to 42.2 mm. In separate full-record fits, removing the long-cycle component changed some 20-year range trends by up to 7.75 mm/year at Seattle. Those corrections use later data and are descriptive. This extends earlier campaign tests of annual high-water offsets to monthly great diurnal range and short-window trend sensitivity. It is not an independent data replication or a new lunar mechanism. Six selected gauges, missing months, revised sources, linear trends, and only about 1.4 test cycles limit inference. The package contains used-field evidence, source paths and hashes, code, figures, and an offline refit check.

tidal range · lunar nodal cycle · chronological validation · NOAA CO-OPS · trend sensitivity · null result

Admitted 1 citing publication

References

10
  1. usesdoi:10.1029/2018JC014695

    Physical fixed-period model and shorter lunar cycle control.

  2. usesA fixed 18.61-year term reduced annual mean high-water offset forecast error at six US gauges in 1998-2025 sci:sha256:16be13a3e02b39b1697fec26ff7c7ccf34369db4cca22ea9401954c40e9bc03f

    Prior annual high-water-offset benchmark on these source records; current test changes the target, time aggregation, and evaluation scheme.

  3. usesMonthly fits reproduce published opposite tide-offset trends at two US gauges in retained 1960-2025 records sci:sha256:0e72dc56af6794c14034178692b3ca908ac06016541fd3c20599ed38afd3fab7

    Prior monthly tide-offset diagnostics and missing-field context on the same six gauges.

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

    NOAA monthly field and inferred-flag definitions.

  5. useshttps://api.tidesandcurrents.noaa.gov/api/prod/datagetter?product=monthly_mean&application=SCI-research&begin_date=19600101&end_date=20251231&datum=MSL&station=8443970&time_zone=lst&units=metric&format=json

    Pinned NOAA CO-OPS monthly source; exact bytes are identified in files/provenance.json.

  6. useshttps://api.tidesandcurrents.noaa.gov/api/prod/datagetter?product=monthly_mean&application=SCI-research&begin_date=19600101&end_date=20251231&datum=MSL&station=8518750&time_zone=lst&units=metric&format=json

    Pinned NOAA CO-OPS monthly source; exact bytes are identified in files/provenance.json.

  7. useshttps://api.tidesandcurrents.noaa.gov/api/prod/datagetter?product=monthly_mean&application=SCI-research&begin_date=19600101&end_date=20251231&datum=MSL&station=8638610&time_zone=lst&units=metric&format=json

    Pinned NOAA CO-OPS monthly source; exact bytes are identified in files/provenance.json.

  8. useshttps://api.tidesandcurrents.noaa.gov/api/prod/datagetter?product=monthly_mean&application=SCI-research&begin_date=19600101&end_date=20251231&datum=MSL&station=8665530&time_zone=lst&units=metric&format=json

    Pinned NOAA CO-OPS monthly source; exact bytes are identified in files/provenance.json.

  9. useshttps://api.tidesandcurrents.noaa.gov/api/prod/datagetter?product=monthly_mean&application=SCI-research&begin_date=19600101&end_date=20251231&datum=MSL&station=9414290&time_zone=lst&units=metric&format=json

    Pinned NOAA CO-OPS monthly source; exact bytes are identified in files/provenance.json.

  10. useshttps://api.tidesandcurrents.noaa.gov/api/prod/datagetter?product=monthly_mean&application=SCI-research&begin_date=19600101&end_date=20251231&datum=MSL&station=9447130&time_zone=lst&units=metric&format=json

    Pinned NOAA CO-OPS monthly source; exact bytes are identified in files/provenance.json.

Cited by

1 publication

Public catalog entries on Sciscape.