New parameterized model for GPS water vapor tomography

Ding, Nan; Zhang, Shubi; Zhang, Qiuzhao

doi:https://doi.org/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

Data sets

GNSS data GEODETIC http://www.geodetic.gov.hk/smo/gsi/programs/en/GSS/satref/satref.htm

Radiosonde data of Kings Park Observations Department of Atmospheric Science http://weather.uwyo.edu/upperair/sounding.html

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.