Advertisement

A System Developed for Monitoring and Analyzing Dynamic Changes of GNSS Precipitable Water Vapor and Its Application

  • Li LiEmail author
  • Zhimin Yuan
  • Ping Luo
  • Jun Shen
  • Sichun Long
  • Liya Zhang
  • Zongli Jiang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 340)

Abstract

Water vapor is an important factor to the formation of small and medium-scale disastrous weather. Its temporal and spatial variation is extremely violent and uneven in the air. Therefore, the development of a real-time monitoring and analysis system for dynamic variations characteristics of spatial and temporal water vapor has great practical significance and application value to short-impending rainstorm forecast. The GNSS/PWV dynamic changes monitoring and analysis system was built on the Matlab platform. Based on the calculated PWV of every CORS reference station, it can be used to demonstrate the time series analysis and planar dynamic changes of various kinds of meteorological elements (PWV, temperature, barometric pressure and relative humidity, etc.). Especially, it can accurately reflect one and two dimensional dynamic trends of the water vapor within the CORS coverage area, track the dynamic changes of atmospheric water vapor content and enhance the monitoring and forecasting capabilities of meteorological departments for small and medium scale disastrous weather.

Keywords

Ground-based GNSS Precipitable water vapor Dynamic changes Monitoring system 

Notes

Acknowledgments

This research are supported by the National Natural Science Foundation of China (NSFC) (No: 41304029; 41204034; 41471067; 41474014).

References

  1. 1.
    Ding J (2009) GPS meteorology and its application. China Meteorological Press, BeijingGoogle Scholar
  2. 2.
    Li G (2010) Ground-based GPS meteorology. Science Press, BeijingGoogle Scholar
  3. 3.
    Ding J, Ye Q (2003) The Yangtze river delta region near real time GPS meteorological network. Meteorology 29(6):26–30Google Scholar
  4. 4.
    Zhao F, Dai L, Nie Z, et al (2006) Research and application on GPS water vapor auto processing system. Sci Surveying Mapp 31(6):63–65Google Scholar
  5. 5.
    Li Y, Li W, Cao Y et al (2014) Design and implementation of data management system for ground based navigation satellite remote sensing of water vapor. Meteorol Sci Technol 42(2):273–277Google Scholar
  6. 6.
    Li G (2011) Research of remote sensing technology of atmospheric water vapor by using ground-based GPS and application system of meteorological operations. Trans Atmos Sci 34(4):385–392Google Scholar
  7. 7.
    de Haan S, Holleman I, Holtslag AAM (2009) Real-time water vapor maps from a GPS surface network: construction, validation, and applications. J Appl Meteorol Climatol 48(7):1302–1316Google Scholar
  8. 8.
    Wang R (2012) Precipitable water vapor retrieval technology research and application of ground-based GPS observations. Nanjing University of Information Science and Technology, NanjingGoogle Scholar
  9. 9.
    Fan S (2013) Research on GPS marine water vapor inversion and three dimensional water vapor tomography. Wuhan University, WuhanGoogle Scholar
  10. 10.
    Jiang P, Ye S (2013) Technical advances in water vapor detection using ground-based GPS observations. Chinese J Nature 35(4): 251–257Google Scholar
  11. 11.
    Hao Wang, Guoping Li (2011) Construction and application about the monitoring system of water vapor derived from ground- based GPS in Chengdu. Geo-Inf Sci 13(2):213–218Google Scholar
  12. 12.
    Li L et al (2012) Rainstorm nowcasting based on GPS real-time precise point positioning technology. Chinese J Geophys 55(4):1129–1136Google Scholar
  13. 13.
    Li L, Long S, Shen J et al (2014) ZTD high-frequency variation detection based on the kinematic precise point positioning. Geodesy Geodyn 34(2):74–78Google Scholar
  14. 14.
    Bevis M, Businger S, Herring TA et al (1992) GPS meteorology: remote sensing of atmospheric water vapor using the global positioning system. J Geophys Res 97(D14):15787–15801CrossRefGoogle Scholar
  15. 15.
    Rocken C, Hove TV, Johnson J et al (1995) GPS/STORM-GPS sensing of atmospheric water vapor for meteorology. J Atmos Oceanic Technol 12:468–478CrossRefGoogle Scholar
  16. 16.
    Chen Y et al (2007) GPS real-time estimation of precipitable water vapor-Hong Kong experiences. Acta Geodaetica Cartogr Sin 36(1):9–12Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Li Li
    • 1
    Email author
  • Zhimin Yuan
    • 1
  • Ping Luo
    • 2
  • Jun Shen
    • 3
  • Sichun Long
    • 1
  • Liya Zhang
    • 1
  • Zongli Jiang
    • 1
  1. 1.Hunan Provincial Key Laboratory of Clean Coal Resources Utilization and Mine Environmental ProtectionHunan University of Science and TechnologyXiangtanChina
  2. 2.Guangzhou Hi-Target GNSS Navigation Technology Co. Ltd, R&D CenterGuangzhouChina
  3. 3.The Climate Center of Hunan ProvinceChangshaChina

Personalised recommendations