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
Jiahui Xu
Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, 200241, China
School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai, 200241, China
Yao Tang
Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, 200241, China
School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai, 200241, China
Linxin Dong
Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, 200241, China
School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai, 200241, China
Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, 200241, China
School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai, 200241, China
Jianping Wu
Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, 200241, China
School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai, 200241, China
Zhaojun Zheng
National Satellite Meteorological Center, Beijing, 100081, China
Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, 200241, China
School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai, 200241, China
Viewed
Total article views: 3,550 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,363
1,078
109
3,550
119
156
HTML: 2,363
PDF: 1,078
XML: 109
Total: 3,550
BibTeX: 119
EndNote: 156
Views and downloads (calculated since 13 Oct 2023)
Cumulative views and downloads
(calculated since 13 Oct 2023)
Total article views: 2,778 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,971
731
76
2,778
96
136
HTML: 1,971
PDF: 731
XML: 76
Total: 2,778
BibTeX: 96
EndNote: 136
Views and downloads (calculated since 18 Apr 2024)
Cumulative views and downloads
(calculated since 18 Apr 2024)
Total article views: 772 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
392
347
33
772
23
20
HTML: 392
PDF: 347
XML: 33
Total: 772
BibTeX: 23
EndNote: 20
Views and downloads (calculated since 13 Oct 2023)
Cumulative views and downloads
(calculated since 13 Oct 2023)
Viewed (geographical distribution)
Total article views: 3,550 (including HTML, PDF, and XML)
Thereof 3,436 with geography defined
and 114 with unknown origin.
Total article views: 2,778 (including HTML, PDF, and XML)
Thereof 2,698 with geography defined
and 80 with unknown origin.
Total article views: 772 (including HTML, PDF, and XML)
Thereof 738 with geography defined
and 34 with unknown origin.
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.
Understanding snow phenology (SP) and its possible feedback are important. We reveal...
