Temperature-dominated spatiotemporal variability in snow phenology on the Tibetan Plateau from 2002 to 2022

Xu, Jiahui; Tang, Yao; Dong, Linxin; Wang, Shujie; Yu, Bailang; Wu, Jianping; Zheng, Zhaojun; Huang, Yan

doi:https://doi.org/10.5194/tc-18-1817-2024

Articles | Volume 18, issue 4

https://doi.org/10.5194/tc-18-1817-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-18-1817-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 4

Research article

|

18 Apr 2024

Research article |

| 18 Apr 2024

Temperature-dominated spatiotemporal variability in snow phenology on the Tibetan Plateau from 2002 to 2022

Jiahui Xu, Yao Tang, Linxin Dong, Shujie Wang, Bailang Yu, Jianping Wu, Zhaojun Zheng, and Yan Huang

Data sets

HMRFS-TP: long-term daily gap-free snow cover products over the Tibetan Plateau (2002-2022) Y. Huang and J. Xu https://doi.org/10.11888/Cryos.tpdc.272204

Model code and software

Snow phenology extraction, trend analysis, and M-K test for Tibetan plateau J. Xu https://doi.org/10.5281/zenodo.10974477

Short summary

Understanding snow phenology (SP) and its possible feedback are important. We reveal spatiotemporal heterogeneous SP on the Tibetan Plateau (TP) and the mediating effects from meteorological, topographic, and environmental factors on it. The direct effects of meteorology on SP are much greater than the indirect effects. Topography indirectly effects SP, while vegetation directly effects SP. This study contributes to understanding past global warming and predicting future trends on the TP.