Articles | Volume 14, issue 3
https://doi.org/10.5194/amt-14-2529-2021
https://doi.org/10.5194/amt-14-2529-2021
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

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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.
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