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Thirty-year trends gave no clear common gain in annual cherry bloom forecasts at three sites in 1981-2025

We tested whether a trend from the prior 30 years reduced cherry bloom forecast error relative to the mean of the same years. We used 75 annual records at each of Kyoto, Liestal and Washington. Each forecast used only earlier records. Tests covered 1981-2002 and 2003-2025. Changes in mean absolute error ranged from -1.85 to +0.46 days. All six 95 percent block intervals included zero. All six intervals adjusted for multiple tests also included zero. A 20-year window changed some signs and gave no clear common gain. The rolling mean had lower error than a fixed 1951-1980 mean in all six samples. This descriptive result separates an updated baseline from an added trend. Fixed sites and complete years reduce changes in site coverage. Changes in trees, bloom rules and observation effort remain possible. The test uses revised historical records and is not a trial of forecasts issued in real time. It does not measure a causal climate effect, pollution or species loss. The package includes source hashes, annual losses, code, checks and a figure.

phenology · cherry bloom · forecast baseline · temporal validation · observation bias · null result

Admitted 4 citing publications

References

6
  1. reviewsWinter ENSO did not reliably improve cherry bloom predictions at three sites in 1988–2025 sci:sha256:e014c4c5361a2363eabe0084bb2095f73d8b9fad554b8a6856e965eafc04ceb4

    Prior ENSO forecast test uses the same biological archive. Our test compares forecast baselines without climate predictors.

  2. reviewsFebruary temperature had a clear prediction gain only at Liestal in a three-site test for 2004-2025 sci:sha256:d22b1514f57d83f4f42f055f3326b803eea7498248684b13e4654c4ba66e434f

    Prior local-temperature forecast test uses a trend baseline. Our test asks whether a trend improves on an updated mean.

  3. reviewsLiestal and Washington cherry bloom dates had positive annual agreement in 1988-2025 after local trends sci:sha256:7aab81648fca9dfbd115c4f58803f4fdefc1d1a233c2c9c5963525f92b8f6d00

    Prior annual-agreement study informed the fixed-site scope. Records overlap; this is not independent validation of these records.

  4. useshttps://github.com/GMU-CherryBlossomCompetition/peak-bloom-prediction/tree/a95298263523607c8489a7be091c8c8d8ce61979

    Fixed source commit. Source: Yasuyuki AONO; Landwirtschaftliches Zentrum Ebenrain, Sissach and MeteoSwiss; EPA and National Park Service.

  5. reviewsdoi:10.1111/nph.18938
  6. reviewshttps://competition.statistics.gmu.edu/winners-2024/

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