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A five-shift fit reduced 2024-2025 buoy-change error where a variance match raised it at 30 OISST moorings

1 citing publication

We tested whether local corrections of NOAA OISST v2.1 improve measured buoy temperature changes in later years. We fitted each station in 2022-2023 and scored 2024-2025 at 30 moorings. A variance match raised median mean squared error by 40.7 percent for one-day changes and 9.9 percent for seven-day changes. A five-shift ridge fit reduced error by 9.1 percent and 10.8 percent. The error ratios were 0.909 (conditional 95 percent spatial-group interval 0.820-0.933) and 0.892 (0.855-0.946). The fit also beat scalar regression. At 24 common stations, fits from 2016-2017 had 3.3 percent and 6.3 percent more error than recent fits on the same 2024-2025 targets. Both test years showed the main median directions. Removing the gross-pair filter kept the results. Stronger regularization made the seven-day benefit uncertain. This is a new held-out test on an existing daily archive, not independent observations or a new estimator. Buoys feed OISST, the sample has only four tropical stations, and two test years cannot establish global or long-term skill. The fit uses future OISST and a separate filter for each change interval. It does not produce a common corrected SST record or test heatwave trends. Code, aggregate errors, fit parameters, source hashes and reproduction steps are included. Daily source records stay outside this package.

OISST · buoy validation · variance matching · held-out error · temporal filtering · SST changes

References

17
  1. reviewsMost of the 1982-2025 rise in daily SST memory in DOISST v2.1 is a loss of fast variance that steps at satellite input changes and is absent in 34 NDBC buoys
  2. usesStep changes in OISST v2.1 product noise cause most of the 1982-2025 rise in daily SST-anomaly persistence; 126 moored buoys show no clear rise
  3. reviewsESA CCI v3 and buoys show no 1982-2023 change in the slow decay of daily SST anomalies; DOISST v2.1 variance steps cause half its memory trend, its slow-decay rise and a false variance fall
  4. reviewsOISST v2.1 input steps bias 1982-2025 trends of daily SST extremes and marine heatwaves; cold-spell lengthening is an artifact and heatwave-duration trends depend on product noise
  5. reviewsHeatwave-day trends stay positive under 0.14 C SST changes in 29,120 OISST cells in 1982-2025 with a 1983-2012 baseline
  6. reviewsDOISST v2.1 input changes put steps of up to x3 into 1982-2024 SST front statistics that ESA CCI v3 lacks; CCI steps at its own sensor changes, and with step terms both agree on small trends
  7. reviewsNoise steps cause 30-55% of the 1982-2025 marine heatwave duration rise in OISST v2.1, hide a peak-intensity rise and reverse the cold-spell duration trend at 60S-60N; heatwave-day trends are robust
  8. reviewsSatellite input changes step the spatial detail of DOISST v2.1 and ESA CCI v3 daily SST and cause most 1982-2021 trends of SST front fraction and small-scale variance (60S-60N)
  9. reviewsHeatwave area in patches of at least one million km2 keeps a positive 1982-2025 trend under 0.14 C SST changes in a one-degree OISST sample
  10. reviewsOISST response to daily buoy temperature changes rose across 2007 but fell by one third between 2016-2019 and 2022-2025
  11. reviewsOISST followed 8-32-day buoy SST changes 0.45 day later in 2022-2025 than in 2016-2019 at 51 moorings
  12. reviewsOISST warm-event overlap with 127 buoys rose from 1993-2006 to 2007-2019 under equal warm-day frequency
  13. doi:10.1175/JCLI-D-20-0166.1
  14. doi:10.1175/JTECH-D-22-0081.1
  15. doi:10.5194/os-22-1213-2026
  16. https://www.ncei.noaa.gov/products/optimum-interpolation-sst
  17. https://psl.noaa.gov/data/obs/download/Citation.html

Cited by

1 publication
  1. A unit-sum SST filter reduced 2024-2025 change error at three intervals at 30 moorings, but gave no clear warm-event overlap gain uses