New parameterized model for GPS water vapor tomography

Ding, Nan; Zhang, Shubi; Zhang, Qiuzhao

doi:10.5194/angeo-35-311-2017

Articles | Volume 35, issue 2

https://doi.org/10.5194/angeo-35-311-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/angeo-35-311-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 35, issue 2

Regular paper

|

28 Feb 2017

Regular paper |

| 28 Feb 2017

New parameterized model for GPS water vapor tomography

Nan Ding, Shubi Zhang, and Qiuzhao Zhang

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Feb 2017	15	4	0	19
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Jun 2017	30	8	0	38
Jul 2017	21	10	0	31
Aug 2017	8	8	0	16
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May 2018	6	10	0	16
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Jul 2020	24	12	7	43
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Jul 2025	21	16	2	39
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Cumulative views and downloads (calculated since 28 Feb 2017)

Month	HTML	PDF	XML	Total
Feb 2017	15	4	0	19
Mar 2017	113	24	12	149
Apr 2017	79	13	11	103
May 2017	28	11	3	42
Jun 2017	30	8	0	38
Jul 2017	21	10	0	31
Aug 2017	8	8	0	16
Sep 2017	16	11	0	27
Oct 2017	3	9	0	12
Nov 2017	12	9	1	22
Dec 2017	10	6	0	16
Jan 2018	8	12	0	20
Feb 2018	7	9	1	17
Mar 2018	7	17	1	25
Apr 2018	5	7	1	13
May 2018	6	10	0	16
Jun 2018	12	7	1	20
Jul 2018	3	7	0	10
Aug 2018	4	3	0	7
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Oct 2018	7	9	2	18
Nov 2018	17	6	2	25
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May 2023	21	12	3	36
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Feb 2025	17	6	2	25
Mar 2025	19	2	1	22
Apr 2025	13	9	2	24
May 2025	13	4	2	19
Jun 2025	43	7	0	50
Jul 2025	21	16	2	39
Aug 2025	20	10	0	30
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Oct 2025	11	19	3	33
Nov 2025	28	19	2	49
Dec 2025	13	13	1	27
Jan 2026	17	6	5	28

Latest update: 28 Jan 2026

Short summary

We propose a new GPS tomographic parameterization approach based on inverse distance weighted (IDW) interpolation. This approach can reconstruct a humidity field. In the future, the fusion of GNSS and external measurements from other sensors in the GPS tomography system will be a potential means to enhance the stability and reliability of water vapor tomography and to decrease tomography intervals.