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

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Peng Jiang on behalf of the Authors (01 Nov 2018)
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 Peng Jiang on behalf of the Authors (23 Dec 2018)
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
AR by Peng Jiang on behalf of the Authors (15 Feb 2019)
Download
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.