Articles | Volume 12, issue 2
https://doi.org/10.5194/amt-12-1233-2019
https://doi.org/10.5194/amt-12-1233-2019
Research article
 | 
27 Feb 2019
Research article |  | 27 Feb 2019

Development of time-varying global gridded TsTm model for precise GPS–PWV retrieval

Peng Jiang, Shirong Ye, Yinhao Lu, Yanyan Liu, Dezhong Chen, and Yanlan Wu

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Svenja Lange on behalf of the Authors (02 Nov 2018)  Author's response
ED: Referee Nomination & Report Request started (20 Nov 2018) by Roeland Van Malderen
RR by Anonymous Referee #3 (23 Nov 2018)
RR by Anonymous Referee #5 (26 Nov 2018)
RR by David Adams (26 Nov 2018)
ED: Publish subject to minor revisions (review by editor) (06 Dec 2018) by Roeland Van Malderen
AR by Anna Wenzel on behalf of the Authors (02 Jan 2019)  Author's response    Manuscript
ED: Reconsider after major revisions (14 Jan 2019) by Roeland Van Malderen
AR by Peng Jiang on behalf of the Authors (07 Feb 2019)  Author's response    Manuscript
ED: Publish as is (12 Feb 2019) by Roeland Van Malderen
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Short summary
A time-varying global gridded TsTm model with 0.75 × 0.75 degree spatial resolution is developed in our study to precisely estimate water-vapor-weighted mean temperature Tm from surface air temperature Ts. Using multiple statistical tests, we assessed the Tm of our model and its impact on the GPS–PWV retrievals. Comparisons with other models demonstrate that our model has prominent advantages. Matlab codes and arrays used to realize our model are provided in the supplement of this study.