Abstract
The coordinates of a static Global Navigation Satellite System (GNSS) station placed on the ground are estimated together with the delay suffered by the incoming satellite signals through the atmosphere. The tropospheric delay (TD) is shaped as the product of the zenith total delay (ZTD) times a slant factor or mapping function (MF) depending on the sine of elevation angles. In processing chain ZTD is just estimated together with the coordinates; while the MF is modeled apart, in an independent way, by using atmospheric profiles retrieved with balloon observations (RAOB) as done for the Niell (1996) or provided by climate or Numerical Weather Prediction (NWP) models as in the Vienna MFs. The several space missions devoted to GNSS-RO (e.g. COSMIC-FORMOSAT, METOP, CHAMP, GRACE end others) are providing a huge amount of data which makes worthwhile to be attempted the reconstruction of a new mapping function (MTMF) based on such kind of data. First results have been achieved merging GNSS-RO data with model. The merging is made necessary because often the GNSS-RO profiles don’t reach the ground. The validation activity however has pointed out not meaningful improvements. Thus we have changed algorithms just to minimize the impact of external data provided by the model. We have performed of course comparisons and validation activities as already done, working with data of GNSS stations spread in the Mediterranean area. In particular formal errors and repeatability of ZTD, coordinates and baselines estimated with the MTMF will be compared with those achieved applying the Niell mapping function. In validation activities we have implemented new MTMFs in bernese software.
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References
Anthes RA, Bernhardt PA, Chen Y et al (2008) The COSMIC/FORMOSAT-3 mission: early results. Bull Am Met Soc 89(3)
Ashby N (2003) Relativity in the global positioning system. Living Rev. Relativ 6
Bar-Sever YE, Kroger PM, Borjesson JA (1998) Estimating horizontal gradients of tropospheric path delay with a single GPS receiver. J Geophys Res 103(B3):5019–5035
Boehm J, Niell A, Tregoning P et al (2006a) Global mapping function (GMF): a new empirical mapping function based on numerical weather model data. Geophys Res Lett 33(7):L07304. doi:10.1029/2005GL025546
Boehm J, Werl B, Schuh H (2006b) Troposphere mapping functions for GPS and very long baseline interferometry from European Centre for Medium-Range Weather Forecasts operational analysis data. J Geophys Res 111:B02406. doi:10.1029/2005JB003629
Boehm J, Kouba J, Schuh H (2009) Forecast Vienna mapping functions for real-time analysis of space geodetic observations. J Geod 86(5):397–401
Dach R, Brockman E, Schaer S et al (2009) 2009: GNSS processing at CODE, status report. J Geod 83(3–4):353–365
Davis JL, Herring TA, Shapiro II et al (1985) Geodesy by radio interferometry: effects of atmospheric modelling errors on estimates of baseline length. Radio Sci 20:1593–1607
Herring TA (1992) Modelling atmospheric delays in the analysis of space geodetic data. In: DeMunk JC, Spoelstra TA (ed) Symposium on refraction of transatmospheric signals in geodesy, Netherlands Geodetic Commission Series 36, pp 157–164, Ned. Comm. voorGeod., Delft
Hoffmann-Wellenhof B, Lichtenegger H, Collins J (2001) GPS theory and practice. Springer, Berlin
Ifadis I (2003) The atmospheric delay of radio waves: modeling the elevation dependence on a global scale. Technical. Report 38L. Sch. of El. and Com. Eng., Chalmers Univ. of Techn., Gothemburg, Sweden
Kirchengast G, Hafner J, Poetzi W (1999) The CIRA86aQ UoG model: an extension of the CIRA-86 monthly tables including humidity tables and a Fortran95 global moist air climatology model. Technical Report for ESA/ESTEC No.8/1999
Lanyi G (1984) Tropospheric delay effects in radio interferometry. TDA Prog Rep 42-78, April–June 1984, pp 152–159, JPL Pasadena (CA)
MacMillan DS (1995) Atmospheric gradients from very long baseline interferometry atmospheric modeling improvements. Geophys Res Lett 22(9):1041–1044
Marini JW (1972) Correction of satellite tracking data for an arbitrary tropospheric profile. Radio Sci 7:223–231
Marini JW, Murray CW (1973) Correction of laser range tracking data for atmospheric refraction at elevations above 10 degrees, NASA Tech. Memo, NASA-TM-X-70555, 60
Niell AE (1996) Global mapping functions for the atmosphere delay at radio wavelengths. J Geophys Res 100:3227–3246
Snajdrova K, Boehm J, Willis P et al (2006) Multi-technique comparison of tropospheric zenith delays derived during the CONT02 campaign. J Geod 79(10–11):613–623. doi:10.1007/s00190-005-0010-z
Vespe F (2013) Atmosphere humidity profiles from GNSS radio occultation observations. IV GALILEO Scientific Colloquium, Prague
Vespe F (2016) Retrieval of atmosphere humidity profiles from GNSS radio occultations observation. In: 67th international astronautical congress, IAC-16,B1,IP,31,x33889
Vespe F, Persia T (2006) Derivation of the water vapor content from the GNSS radio occultations observations. J Atmos Oceanic Technol 23(7):936–943
Von Engeln A, Andres Y, Marquardt C, Sancho F et al (2011) GRAS radio occultation onboard of Metop, vol 47(2). doi:10.1016/j.asr.2010.07.028
Wickert J, Reigber C, Beyerle G et al (2001) Atmosphere sounding by GPS radio occultation: first results from CHAMP. Geophys Res Lett 28:3263–3266
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Vespe, F., Rosciano, E., Vizziello, G. (2018). Improvements in Geodetic Surveying Using GNSS Radio Occultation Observations. In: Cefalo, R., Zieliński, J., Barbarella, M. (eds) New Advanced GNSS and 3D Spatial Techniques. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-56218-6_7
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DOI: https://doi.org/10.1007/978-3-319-56218-6_7
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