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Added winter SST cut northeast Atlantic forecast error in expanding fits for 1981-2025, but rolling fits were uncertain

We tested whether previous winter sea surface temperature (SST) adds next-winter forecast information after local summer SST and a linear time term. We used two fixed North Atlantic boxes, ERSSTv5 and HadISST1, and 45 test years from 1981 to 2025. Each fit used earlier years only. In the northeast Atlantic, added winter SST cut mean squared error by 19.19% in ERSSTv5 and 26.86% in HadISST1. Conditional 97.5% three-year block intervals were -0.03% to 33.09% and 7.24% to 41.96%. Sargasso gains were 15.30% and 11.01%, with intervals that included zero. With rolling 30-year training, northeast Atlantic gains fell to 6.87% and 6.42%, with uncertain signs. Thus the point gains depend on the training history. This is a forecast benchmark for known winter recurrence, not proof of heat storage below the surface. Revised data, shared source observations, two selected boxes, linear models, and uncertainty conditional on fitted forecasts limit the result.

North Atlantic · sea surface temperature · reemergence · seasonal forecast · training history

Admitted 1 citing publication

References

8
  1. https://journals.ametsoc.org/abstract/journals/clim/15/18/1520-0442_2002_015_2707_otrona_2.0.co_2.xml

    Prior North Atlantic reemergence study; motivates the Sargasso and northeast Atlantic regions.

  2. https://journals.ametsoc.org/view/journals/clim/16/9/1520-0442_2003_16_1364_tpowss_2.0.co_2.xml

    Prior study of winter persistence with seasonal mixed-layer depth.

  3. Adding winter SST raised error in 2002-2025 October-December linear forecasts in three North Pacific regions sci:sha256:02a1e8154b2eaa815e8fd879d65457a99b8b3fc75f47922b1629bc42bb9984de

    Related North Pacific forecast test. Our target is January-March and our regions and years differ. We reuse no code.

  4. usesdoi:10.7289/V5T72FNM

    ERSSTv5 data.

  5. usesdoi:10.1029/2002JD002670

    HadISST1 data and reconstruction method.

  6. https://www.metoffice.gov.uk/hadobs/hadisst/

    Source description and January 2025 correction notice.

  7. useshttps://downloads.psl.noaa.gov/Datasets/noaa.ersst.v5/sst.mnmean.nc

    Raw source; hashes in the package define the tested snapshot.

  8. useshttps://www.metoffice.gov.uk/hadobs/hadisst/data/HadISST_sst.nc.gz

    Raw source; hashes in the package define the tested snapshot.

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