Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 14, issue 3
Articles | Volume 14, issue 3
https://doi.org/10.5194/amt-14-2529-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-2529-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 3
Research article
 | 
31 Mar 2021
Research article |  | 31 Mar 2021

A new global grid-based weighted mean temperature model considering vertical nonlinear variation

Peng Sun, Suqin Wu, Kefei Zhang, Moufeng Wan, and Ren Wang

Viewed

Total article views: 2,809 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,789 927 93 2,809 173 106 136
  • HTML: 1,789
  • PDF: 927
  • XML: 93
  • Total: 2,809
  • Supplement: 173
  • BibTeX: 106
  • EndNote: 136
Views and downloads (calculated since 07 Oct 2020)
Cumulative views and downloads (calculated since 07 Oct 2020)

Viewed (geographical distribution)

Total article views: 2,809 (including HTML, PDF, and XML) Thereof 2,667 with geography defined and 142 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 27 Jan 2026
Download
Short summary
In GPS or Global navigation satellite systems (GNSS) meteorology, precipitable water vapor (PWV) at a station is obtained from a conversion of the GNSS signal zenith wet delay (ZWD) using a conversion factor which is a function of weighted mean temperature (Tm) over the site. We developed a new global grid-based empirical Tm model using ERA5 reanalysis data. The model-predicted Tm value has significance for applications needing real-time or near real-time PWV converted from GNSS signals.
Read more
Share