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

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

doi:https://doi.org/10.5194/amt-14-2529-2021

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

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Final revised paper (published on 31 Mar 2021)
Supplement to the final revised paper
Preprint (discussion started on 07 Oct 2020)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Comment on ‘A new global grid-based weighted mean temperature model considering vertical nonlinear variation’', Maohua Ding, 31 Oct 2020
- AC1: 'Reply on RC1', Peng Sun, 28 Dec 2020
RC2: 'Review of “A new global grid-based weighted mean temperature model considering vertical nonlinear variation” by Peng Sun et al.', Anonymous Referee #2, 27 Nov 2020
- AC2: 'Reply on RC2', Peng Sun, 28 Dec 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Peng Sun on behalf of the Authors (31 Dec 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (19 Jan 2021) by Roeland Van Malderen

RR by Anonymous Referee #2 (05 Feb 2021)

ED: Publish subject to minor revisions (review by editor) (05 Feb 2021) by Roeland Van Malderen

AR by Peng Sun on behalf of the Authors (12 Feb 2021) Author's response Author's tracked changes Manuscript

ED: Publish as is (19 Feb 2021) by Roeland Van Malderen

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 (T_m) over the site. We developed a new global grid-based empirical Tm model using ERA5 reanalysis data. The model-predicted T_m value has significance for applications needing real-time or near real-time PWV converted from GNSS signals.