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Fusion of Radiosonde and GPS Data for Water Vapor Tomography

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China Satellite Navigation Conference (CSNC) 2019 Proceedings (CSNC 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 562))

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Abstract

The technique of ground-based GPS tomography is a newly spatial tool to sense the water vapor profile in atmosphere area. It has become a complementary technique for other conventional atmospheric sounding techniques. In this study, the radiosonde data was utilized to improve the accuracy of GPS tomography by forming the vertical constraint information. The experiment of Xi’an area tomography campaign was employed to assess the performance. The result shows that approach of fusion of radiosonde and GPS data for water vapor tomography can improve the accuracy of wet reflectivity, increase utilization of radiosonde data.

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References

  1. Bi Y (2006) The study of global positioning system (GPS) remote sensing of atmospheric water vapor. Beijing University

    Google Scholar 

  2. Flores A, Ruffini G, Rius A (2000) 4D tropospheric tomography using GPS slant wet delays. Ann Geophys 18(2):223–234

    Article  Google Scholar 

  3. Skone S, Hoyle V (2005) Troposphere modeling in a regional GPS network. Positioning 4(1&2):230–239

    Article  Google Scholar 

  4. Song S, Zhu W, Ding J et al (2006) 3D water-vapor tomography with Shanghai GPS network to improve forecasted moisture field. Chin Sci Bull 51(5):607–614

    Article  Google Scholar 

  5. Cao Y, Chen Y, Li B (2006) Determining atmospheric absolute humidity by GPS. Chin J Sci Instrument 27(s2):1132–1135

    Google Scholar 

  6. Yu S, Liu L, Liang X (2010) Influence analysis of conditions on GPS water vapor tomography. Acta Geod Cartogr Sin 39(5):491–496

    Google Scholar 

  7. Zhang S, Zhang P, Zhang Q et al (2013) Ground-based GPS tomography spatial water vapor distribution with robust variance components estimation. Geomat Inf Sci Wuhan Univ 38(2):144–147

    Google Scholar 

  8. Yao Y, Zhao Q, Luo Y (2017) An approach of imposing virtual signals to sophisticate water vapor tomographic model. Geomat Inf Sci Wuhan Univ 42(11):1658–1664

    Google Scholar 

  9. Zhao Q, Yao Y, Luo Y (2017) A method to improve the utilization of observation for water vapor tomography by adding assisted tomographic area. Geomat Inf Sci Wuhan Univ 42(9):1203–1208

    Google Scholar 

  10. Zhang S, Ye S, Wan R et al (2008) Preliminary tomography spatial wet refractivity distribution based on Kalman filter. Geomat Inf Sci Wuhan Univ 33(8):797–799

    Google Scholar 

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Correspondence to Na Liu .

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© 2019 Springer Nature Singapore Pte Ltd.

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Liu, N., Zhang, P., Gao, Y., Wang, P., Zhao, C. (2019). Fusion of Radiosonde and GPS Data for Water Vapor Tomography. In: Sun, J., Yang, C., Yang, Y. (eds) China Satellite Navigation Conference (CSNC) 2019 Proceedings. CSNC 2019. Lecture Notes in Electrical Engineering, vol 562. Springer, Singapore. https://doi.org/10.1007/978-981-13-7751-8_12

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  • DOI: https://doi.org/10.1007/978-981-13-7751-8_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7750-1

  • Online ISBN: 978-981-13-7751-8

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