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Linear autumn ENSO forecasts gave no clear gain for a California winter precipitation contrast in 1981-2026

We tested whether September-November Nino 3.4 improved forecasts of the next January-March south-minus-north precipitation index in California. We used two fixed NOAA sources and division scales from 1951-1980. North combined divisions 1 and 2. South combined divisions 6 and 7. Each forecast used earlier target years only. In 46 evaluation years, 1981-2026, linear-model mean squared error skill was -2.57% relative to the earlier-year mean. Its conditional 95% five-year block interval was -12.71% to 5.70%. Skill for the common component was 7.88%, with an interval of -20.76% to 26.30%. Their skill difference was uncertain. Both regional fitted linear associations were positive, so subtraction removed much of the shared association. A quadratic model gave contrast skill of 7.98%, with an interval of -0.10% to 15.32%. Thus, the result depends on model form and does not exclude useful ENSO information. Fixed regions, revised data, a short record, and conditional intervals limit inference. The package preserves source rows, provenance, code, forecasts, resamples, figures, a scalar audit, and offline repeat evidence.

ENSO · California · precipitation · regional contrast · chronological forecast · null result · Nino 3.4

Admitted 4 citing publications

References

8
  1. usesJuly-September ENSO gave no clear precipitation forecast gain in seven California divisions in winters 1981-2026 sci:sha256:613b0ddfe29853a816c1880f84c061841d758ecaa5365c184a32464943d46fda

    We reuse its public shared source snapshots and saved NOAA format document. We test a new regional difference with new code.

  2. doi:10.1088/1748-9326/11/5/054021

    Prior evidence for regional, seasonal, and strength-dependent ENSO precipitation links.

  3. doi:10.1029/2024GL110326

    Prior study of weather patterns and ENSO forecast uncertainty.

  4. doi:10.1175/JAMC-D-13-0248.1

    Method for the gridded climate data that supply the division estimates.

  5. useshttps://www.cpc.ncep.noaa.gov/data/indices/ersst5.nino.mth.91-20.ascii
  6. useshttps://www.ncei.noaa.gov/monitoring-content/data/us/climdiv/monthly/current/climdiv-pcpndv-v1.0.0-20261006
  7. useshttps://www.ncei.noaa.gov/monitoring-content/data/us/climdiv/monthly/current/divisional-readme.txt

    Source format document preserved from the cited SCI publication.

  8. https://psl.noaa.gov/data/usclimdivs/data/map.html

    Official California division names.

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