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: 3,772 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,439
1,220
113
3,772
122
171
HTML: 2,439
PDF: 1,220
XML: 113
Total: 3,772
BibTeX: 122
EndNote: 171
Views and downloads (calculated since 13 Oct 2023)
Cumulative views and downloads
(calculated since 13 Oct 2023)
Total article views: 2,975 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,034
861
80
2,975
99
151
HTML: 2,034
PDF: 861
XML: 80
Total: 2,975
BibTeX: 99
EndNote: 151
Views and downloads (calculated since 18 Apr 2024)
Cumulative views and downloads
(calculated since 18 Apr 2024)
Total article views: 797 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
405
359
33
797
23
20
HTML: 405
PDF: 359
XML: 33
Total: 797
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: 3,772 (including HTML, PDF, and XML)
Thereof 3,654 with geography defined
and 118 with unknown origin.
Total article views: 2,975 (including HTML, PDF, and XML)
Thereof 2,891 with geography defined
and 84 with unknown origin.
Total article views: 797 (including HTML, PDF, and XML)
Thereof 763 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...