Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 6
Articles | Volume 15, issue 6
https://doi.org/10.5194/amt-15-1675-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-15-1675-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 6
Research article
 | 
22 Mar 2022
Research article |  | 22 Mar 2022

Water vapor estimation based on 1-year data of E-band millimeter wave link in North China

Siming Zheng, Juan Huo, Wenbing Cai, Yinhui Zhang, Peng Li, Gaoyuan Zhang, Baofeng Ji, Jiafeng Zhou, and Congzheng Han

Viewed

Total article views: 1,807 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,261 484 62 1,807 55 48
  • HTML: 1,261
  • PDF: 484
  • XML: 62
  • Total: 1,807
  • BibTeX: 55
  • EndNote: 48
Views and downloads (calculated since 12 Nov 2021)
Cumulative views and downloads (calculated since 12 Nov 2021)

Viewed (geographical distribution)

Total article views: 1,807 (including HTML, PDF, and XML) Thereof 1,760 with geography defined and 47 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
We demonstrated the processing of millimeter wave link data with a time resolution of 1 min for 60 dry periods from August 2020 to July 2021. We have proposed a new method for extracting water vapor attenuation values and applied this method to data processing within this year. We found that the water vapor density value obtained from the millimeter wave link is highly correlated with the actual measurement value of the weather station.
Read more
Special issue
Analysis of atmospheric water vapour observations and their...