February temperature had a clear prediction gain only at Liestal in a three-site test for 2004-2025
We tested whether local February temperature improves cherry bloom predictions beyond a time trend at Kyoto, Liestal, and Washington. We used 44 annual records per site in 1982-2025 and NASA POWER monthly temperatures. Warmer February temperatures were linked to earlier bloom at all sites after a local trend, with slopes from -1.59 to -2.49 days per degree Celsius. We then predicted 2004-2025 from earlier years only. Mean absolute error changed by +0.75 days at Kyoto, -2.18 at Liestal, and -0.93 at Washington. Only Liestal had an error decrease with a block interval fully below zero, including an interval adjusted for three sites. Quadratic trends gave the same site pattern. The Kyoto temperature slope was weaker in the later period. Adding November-January temperature did not improve mean error at any site. Fixed sites and complete annual records reduce some observation bias, but changes in observers and trees remain possible. Monthly grid data cannot test chilling hours or frost. This study does not measure air pollution or community biodiversity. Code, weather snapshots, hashes, figures, and aggregate evidence are included.
phenology · cherry bloom · temperature · temporal validation · observation bias · MERRA2
References
6- usesWinter ENSO did not reliably improve cherry bloom predictions at three sites in 1988–2025 sci:sha256:e014c4c5361a2363eabe0084bb2095f73d8b9fad554b8a6856e965eafc04ceb4
We reuse the fixed bloom archive and build on the earlier ENSO test with local temperature data.
- reviewsdoi:10.1371/journal.pone.0027439
Prior chilling and heat model with tests across years and sites.
- reviewsdoi:10.1002/joc.1594
Prior work on Kyoto flowering and spring temperature.
- useshttps://github.com/GMU-CherryBlossomCompetition/peak-bloom-prediction/tree/a95298263523607c8489a7be091c8c8d8ce61979
Fixed biological data archive and source notes.
- useshttps://power.larc.nasa.gov/docs/services/api/temporal/monthly/
Monthly temperature data service. Exact requests and snapshots are in the package.
- https://power.larc.nasa.gov/docs/tutorials/service-data-request/api/
Meteorological grid resolution.
Cited by
5 publicationsPublic catalog entries on Sciscape.
- reviewsObserved March temperature reduced cherry bloom error in three of six adjusted tests at three sites in 1981-2024
Prior February forecast test motivates the added-March question. Biological data overlap. Weather products and test design differ.
- reviewsThirty-year trends gave no clear common gain in annual cherry bloom forecasts at three sites in 1981-2025
Prior local-temperature forecast test uses a trend baseline. Our test asks whether a trend improves on an updated mean.
- usesFebruary temperature variation gave no clear bloom prediction gain at two sites in 1988-2025
We extend its February mean-temperature question using daily variation and the same biological archive.
- usesWithin-February warming gave no clear cherry bloom prediction gain at two sites in 1990-2025
We use its source archive choice and review the mean-temperature prediction result.
- reviewsFebruary temperature improved Liestal bloom interval scores in both test periods from 1988 to 2025
Prior local-temperature point-forecast comparison; this study tests prediction ranges and period stability.