Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 10, issue 4
Articles | Volume 10, issue 4
https://doi.org/10.5194/essd-10-2097-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-10-2097-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 4
Data review article
 | 
27 Nov 2018
Data review article |  | 27 Nov 2018

A high-resolution air temperature data set for the Chinese Tian Shan in 1979–2016

Lu Gao, Jianhui Wei, Lingxiao Wang, Matthias Bernhardt, Karsten Schulz, and Xingwei Chen

Viewed

Total article views: 8,091 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
6,439 1,488 164 8,091 366 179 212
  • HTML: 6,439
  • PDF: 1,488
  • XML: 164
  • Total: 8,091
  • Supplement: 366
  • BibTeX: 179
  • EndNote: 212
Views and downloads (calculated since 28 Jun 2018)
Cumulative views and downloads (calculated since 28 Jun 2018)

Viewed (geographical distribution)

Total article views: 8,091 (including HTML, PDF, and XML) Thereof 7,296 with geography defined and 795 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Mar 2026
Download
Short summary
High-resolution temperature data sets are important for the Chinese Tian Shan, which has a complex ecological environment system. This study presents a unique high-resolution (1 km, 6-hourly) air temperature data set for this area from 1979 to 2016 based on a robust statistical downscaling framework. The strongest advantage of this method is its independence of local meteorological stations due to a model internal, vertical lapse rate scheme. This method was validated for other mountains.
Read more
Share
Altmetrics
Final-revised paper
Preprint