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False springs and spring phenology: Propagating effects of downscaling technique and training data

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Adrienne M. Wootten, Keith W. Dixon, Dennis J. Adams-Smith, and Renee A. McPherson, 2024-03-15, False springs and spring phenology: Propagating effects of downscaling technique and training data: International Journal of Climatology.

Summary

Projected changes to spring phenological indicators (such as first leaf and first bloom) are of importance to assessing the impacts of climate change on ecosystems and species. The risk of false springs (when a killing freeze occurs after plants of interest bloom), which can cause ecological and economic damage, is also projected to change across much of the United States. Given the coarse nature of global climate models, downscaled climate projections have commonly been used to assess local changes in spring phenological indices. Few studies that examine the influence of the sources of uncertainty sources in the downscaling approach on projections of phenological changes. This study examines the influence of sources of uncertainty [...]

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  • National and Regional Climate Adaptation Science Centers
  • South Central CASC

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citationTypeJournal Article
journalInternational Journal of Climatology
parts
typeDOI
valuehttps://doi.org/10.1002/joc.8438

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