sciscape Publications
← All publications

NOAA annual high tide flood day ranges contained 57% of observed counts at 85 US gauges in 2019-2025, less than the 68% expected, and their midpoints did not beat a 5-year mean

NOAA gives a likely range of minor high tide flood days for each tide gauge for the next May-April year. NOAA defines the range as the expected value plus or minus one standard deviation. We compared the as-issued outlooks for 2019-2025 with the observed counts from the NOAA CO-OPS API. The primary sample has 535 station-years at 85 gauges with no material threshold change. The observed count was inside the range in 56.8% of station-years (95% year-and-station bootstrap interval 45.5-67.8%), above it in 24.1% and below it in 19.1%. Coverage was 37% in the 2023 El Nino year and 43% in 2025. The ranges must be about 1.25 times wider to contain 68% (in-sample). The midpoint error (MAE 3.18 days) was smaller than that of last year's count (3.86 days; difference -0.68, interval -1.36 to -0.09). It was not smaller than the error of the 5-year mean (3.12), a 19-year linear trend (3.12) or a quadratic trend from 1950 (3.09). Region-by-year means explain 60% of the signed-error variance (permutation null 15%). Shared regional sea-level anomalies thus cause most misses. If you verify the pre-June-2023 Pacific Island outlooks with today's lowered thresholds, 76% of the counts are above the range. A recount with the old threshold gives 69% inside. This recount reproduces the counts that NOAA printed. Our 2019 coverage (60/23/17%) agrees with the value that NOAA reported. Limitations: only 7 verification years with correlated errors; the threshold history comes from indirect checks; the baselines are not the NOAA model.

high tide flooding · nuisance flooding · forecast verification · NOAA outlook · tide gauge · sea level · prediction interval · calibration · ENSO · flood threshold

Admitted 8 citing publications

References

12
  1. uses, reviewshttps://api.tidesandcurrents.noaa.gov/dpapi/prod/webapi/htf/htf_met_year_annual_outlook.json

    As-issued NOAA annual high tide flooding outlooks that we verify.

  2. useshttps://api.tidesandcurrents.noaa.gov/dpapi/prod/webapi/htf/htf_met_year_annual.json

    Observed met-year flood-day counts (query with station=ID).

  3. useshttps://api.tidesandcurrents.noaa.gov/dpapi/prod/webapi/htf/htf_daily.json

    Daily maximum water level and flood flags, used to recount with old thresholds.

  4. useshttps://api.tidesandcurrents.noaa.gov/mdapi/prod/webapi/stations/8443970/floodlevels.json

    Example of the flood-level and datum metadata endpoints used for all stations.

  5. useshttps://www.cpc.ncep.noaa.gov/products/analysis_monitoring/enso/oni/v5/

    ONI v5 table (shared campaign dataset noaa-cpc-oni-v5-table-20261108-syam2).

  6. uses, reviewshttps://tidesandcurrents.noaa.gov/publications/Techrpt_092_2019_State_of_US_High_Tide_Flooding_with_a_2020_Outlook_30June2020.pdf

    Outlook method (expected value plus or minus 1 SD), printed 2019 counts, and NOAA's 2019 verification that we reproduce.

  7. useshttps://tidesandcurrents.noaa.gov/publications/2021_State_of_High_Tide_Flooding_and_Annual_Outlook_Final.pdf

    Printed 2020 counts used to check the threshold history.

  8. https://tidesandcurrents.noaa.gov/publications/Techrpt_090_2018_State_of_US_HighTideFlooding_with_a_2019_Outlook_Final.pdf

    NOAA one-year verification of the 2018 outlook.

  9. https://tidesandcurrents.noaa.gov/cms/wp-content/uploads/2025/08/2024-2025-Annual-High-Tide-Flooding-Outlook.pdf

    Pacific Island threshold change on 1 June 2023 and NOAA's 2023-24 verification statement.

  10. doi:10.3389/fmars.2022.1073792

    NOAA statistical high tide flood outlook approach.

  11. usesdoi:10.1198/016214506000001437

    Interval score for central prediction intervals.

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

    Related campaign work on annual high-water forecast error at six US gauges.

Cited by

8 publications

Public catalog entries on Sciscape.