Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 3
Articles | Volume 16, issue 3
https://doi.org/10.5194/essd-16-1425-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/essd-16-1425-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 3
Data description paper
 | 
15 Mar 2024
Data description paper |  | 15 Mar 2024

An observational network of ground surface temperature under different land-cover types on the northeastern Qinghai–Tibet Plateau

Raul-David Şerban, Huijun Jin, Mihaela Şerban, Giacomo Bertoldi, Dongliang Luo, Qingfeng Wang, Qiang Ma, Ruixia He, Xiaoying Jin, Xinze Li, Jianjun Tang, and Hongwei Wang

Viewed

Total article views: 2,831 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,182 535 114 2,831 126 132
  • HTML: 2,182
  • PDF: 535
  • XML: 114
  • Total: 2,831
  • BibTeX: 126
  • EndNote: 132
Views and downloads (calculated since 14 Jul 2023)
Cumulative views and downloads (calculated since 14 Jul 2023)

Viewed (geographical distribution)

Total article views: 2,831 (including HTML, PDF, and XML) Thereof 2,767 with geography defined and 64 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 03 Nov 2025
Download
Short summary
A particular observational network for ground surface temperature (GST) has been established on the northeastern Qinghai–Tibet Plateau, covering various environmental conditions and scales. This analysis revealed the substantial influences of the land cover on the spatial variability in GST over short distances (<16 m). Improving the monitoring of GST is important for the biophysical processes at the land–atmosphere boundary and for understanding the climate change impacts on cold environments.
Read more
Share
Special issue
Extreme environment datasets for the three poles
Altmetrics
Final-revised paper
Preprint