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Volume 11, issue 9 | Copyright

Special issue: Advanced Global Navigation Satellite Systems tropospheric...

Atmos. Meas. Tech., 11, 5153-5166, 2018
https://doi.org/10.5194/amt-11-5153-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 11 Sep 2018

Research article | 11 Sep 2018

Constructing a precipitable water vapor map from regional GNSS network observations without collocated meteorological data for weather forecasting

Biyan Chen1,2,3, Wujiao Dai1,2,3, Zhizhao Liu4, Lixin Wu1,3, Cuilin Kuang1,2,3, and Minsi Ao5 Biyan Chen et al.
  • 1School of Geosciences and Info-Physics, Central South University, Changsha, Hunan, China
  • 2Key Laboratory of Precise Engineering Surveying and Deformation Disaster Monitoring of Hunan Province, Changsha, Hunan, China
  • 3Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring Ministry of Education, School of Geosciences and Info-Physics, Central South University, Changsha, Hunan, China
  • 4Department of Land Surveying and Geo-Informatics, Hong Kong Polytechnic University, Hong Kong, China
  • 5Hunan Province Mapping and Science and Technology Investigation Institute, Changsha, Hunan, China

Abstract. Surface pressure (Ps) and weighted mean temperature (Tm) are two necessary variables for the accurate retrieval of precipitable water vapor (PWV) from Global Navigation Satellite System (GNSS) zenith total delay (ZTD) estimates. The lack of Ps or Tm information is a concern for those GNSS sites that are not collocated with meteorological sensors. This paper investigates an alternative method of inferring accurate Ps and Tm at the GNSS station using nearby synoptic observations. Ps and Tm obtained at the nearby synoptic sites are interpolated onto the location of the GNSS station by performing both vertical and horizontal adjustments, in which the parameters involved in Ps and Tm calculation are estimated from ERA-Interim reanalysis profiles. In addition, we present a method of constructing high-quality PWV maps through vertical reduction and horizontal interpolation of the retrieved GNSS PWVs. To evaluate the performances of the Ps and Tm retrieval, and the PWV map construction, GNSS data collected from 58 stations of the Hunan GNSS network and synoptic observations from 20 nearby sites in 2015 were processed to extract the PWV so as to subsequently generate the PWV maps. The retrieved Ps and Tm and constructed PWV maps were assessed by the results derived from radiosonde and the ERA-Interim reanalysis. The results show that (1) accuracies of Ps and Tm derived by synoptic interpolation are within the range of 1.7–3.0hPa and 2.5–3.0K, respectively, which are much better than the GPT2w model; (2) the constructed PWV maps have good agreements with radiosonde and ERA-Interim reanalysis data with the overall accuracy being better than 3mm; and (3) PWV maps can well reveal the moisture advection, transportation and convergence during heavy rainfall.

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The lack of collocated meteorological data at GNSS stations makes it difficult to take full advantage of GNSS observations for weather studies. This research demonstrates the potentials of retrieving accurate PWV from GNSS using adjacent synoptic data and generating high-quality PWV maps from the GNSS network for weather prediction in near-real time. Results also demonstrate that it's possible to reveal the moisture advection, transportation and convergence during heavy rainfalls using PWV maps.
The lack of collocated meteorological data at GNSS stations makes it difficult to take full...
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