Articles | Volume 19, issue 7
https://doi.org/10.5194/tc-19-2733-2025
https://doi.org/10.5194/tc-19-2733-2025
Research article
 | 
31 Jul 2025
Research article |  | 31 Jul 2025

Dynamic identification of snow phenology in the Northern Hemisphere

Le Wang, Xin Miao, Xinyun Hu, Yizhuo Li, Bo Qiu, Jun Ge, and Weidong Guo

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Cited articles

Armstrong, R. L. and Brodzik, M. J.: Recent northern hemisphere snow extent: A comparison of data derived from visible and microwave satellite sensors, Geophys. Res. Lett., 28, 3673–3676, https://doi.org/10.1029/2000GL012556, 2001. 
Barnett, T. P., Adam, J. C., and Lettenmaier, D. P.: Potential impacts of a warming climate on water availability in snow-dominated regions, Nature, 438, 303–309, https://doi.org/10.1038/nature04141, 2005. 
Blau, M. T., Kad, P., Turton, J. V., and Ha, K.-J.: Uneven global retreat of persistent mountain snow cover alongside mountain warming from ERA5-land, Npj Clim. Atmos. Sci., 7, 278, https://doi.org/10.1038/s41612-024-00829-5, 2024. 
Bormann, K. J., Brown, R. D., Derksen, C., and Painter, T. H.: Estimating snow-cover trends from space, Nat. Clim. Change, 8, 924–928, https://doi.org/10.1038/s41558-018-0318-3, 2018. 
Brown, R. D. and Mote, P. W.: The Response of Northern Hemisphere Snow Cover to a Changing Climate, J. Clim., 22, 2124–2145, https://doi.org/10.1175/2008JCLI2665.1, 2009. 
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Short summary
Snow phenology is a crucial indicator for assessing seasonal changes in snow. In this work, we find that snow phenology is significantly impacted by the datasets and methods used, and current methods often overlook the spatial and temporal variability in snow across the Northern Hemisphere. To address this, we develop a dynamic-threshold method, which contributes to better representing the seasonal changes in snow cover across the Northern Hemisphere, especially on the Tibetan Plateau.
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