Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 14, issue 8
Articles | Volume 14, issue 8
https://doi.org/10.5194/essd-14-3509-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/essd-14-3509-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 8
Data description paper
 | 
03 Aug 2022
Data description paper |  | 03 Aug 2022

Microwave radiometry experiment for snow in Altay, China: time series of in situ data for electromagnetic and physical features of snowpack

Liyun Dai, Tao Che, Yang Zhang, Zhiguo Ren, Junlei Tan, Meerzhan Akynbekkyzy, Lin Xiao, Shengnan Zhou, Yuna Yan, Yan Liu, Hongyi Li, and Lifu Wang

Viewed

Total article views: 2,407 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,712 589 106 2,407 76 84
  • HTML: 1,712
  • PDF: 589
  • XML: 106
  • Total: 2,407
  • BibTeX: 76
  • EndNote: 84
Views and downloads (calculated since 04 Mar 2022)
Cumulative views and downloads (calculated since 04 Mar 2022)

Viewed (geographical distribution)

Total article views: 2,407 (including HTML, PDF, and XML) Thereof 2,255 with geography defined and 152 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
An Integrated Microwave Radiometry Campaign for Snow (IMCS) was conducted to collect ground-based passive microwave and optical remote-sensing data, snow pit and underlying soil data, and meteorological parameters. The dataset is unique in continuously providing electromagnetic and physical features of snowpack and environment. The dataset is expected to serve the evaluation and development of microwave radiative transfer models and snow process models, along with land surface process models.
Read more
Special issue
Extreme environment datasets for the three poles
Altmetrics
Final-revised paper
Preprint