GPS-PWV estimation and validation with radiosonde data and numerical weather prediction model in Antarctica
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Three permanent GPS tracking stations in the trans Antarctic mountain deformation (TAMDEF) network were used to estimate precipitable water vapor (PWV) using measurement series covering the period of 2002–2005. TAMDEF is a National Science Foundation funded joint project between The Ohio State University and the United States Geological Survey. The TAMDEF sites with the longest GPS data spans considered in this research are Franklin Island East (FIE0), the International GNSS Service site McMurdo (MCM4), and Cape Roberts (ROB1). For the experiment, PWV was extracted from the ionosphere-free double-difference carrier phase observations, processed using the adjustment of GPS ephemerides (PAGES) software. The GPS data were processed with a 30 s sampling rate, 15-degree cutoff angle, and precise GPS orbits disseminated by IGS. The time-varying part of the zenith wet delay is estimated using the Marini mapping function, while the constant part is evaluated using the corresponding Marini tropospheric model. Previous studies using TAMDEF data for PWV estimation show that the Marini mapping function performs the best among the models offered by PAGES. The data reduction to compute the zenith wet delay follows the step piecewise linear strategy, which is subsequently transformed to PWV. The resulting GPS-based PWV is compared to the radiosonde observations and to values obtained from the Antarctic mesoscale prediction system (AMPS). This comparison revealed a consistent bias of 1.7 mm between the GPS solution and the radiosonde and AMPS reference values.
KeywordsGPS PWV Radiosonde AMPS TAMDEF Antarctica
The authors would like to thank Dr. Matthew A. Lazzara and Shelley L. Knuth from the Space Science and Engineering Center, University of Wisconsin-Madison, for providing the radiosonde PWV data series for McMurdo. Thanks to Dr. Mark Schenewerk for his valuable comments on dealing with troposphere in PAGES. Special thanks go to Dr. Terry Wilson and Mike Willis from the School of Earth Sciences at OSU and the United States Geological Survey Antarctic Mapping group for providing the TAMDEF data. This research was supported by a National Science Foundation grant.
- Chao C (1973) A model for tropospheric calibration from daily surface and radiosonde balloon measurement. Technical Memorandum, pp 391–350. Jet Propulsion Laboratory, Pasadena CaliforniaGoogle Scholar
- Ifadis IM (2000) A new approach to mapping the atmospheric effect for GPS observations. Earth Planets Space 52:703–708Google Scholar
- Lancaster P, Salkauskas K (1986) Curve and surface fitting: an introduction. Academic Press, Harcourt Brace Jovanovich, New YorkGoogle Scholar
- Mader GL, Schenewerk MS, Ray JR, Kass WG, Spofford PR, Dulaney RL, Pursell DG (1995) GPS orbit and earth orientation parameter production at NOAA for the International GPS service for geodynamics for 1994. In: Zumberge JF et al (eds) International GPS service/or geodynamics 1994 annual report. California Institute of Technology, Pasadena, CA, Jet Propulsion Lab, pp 197–212Google Scholar
- Schenewerk M (2004) Workshop in PAGES. The Ohio State University, Columbus OHGoogle Scholar
- Schenewerk MS, Marshall J, Dillinger W (2001) Vertical ocean loading deformations derived from a global GPS network. J Geod Soc Jpn 47(1):237–242Google Scholar
- Troller M (2004) GPS-based determination of the integrated and spatially distributed water vapor in the troposphere. Geodätisch-geophysikalische Arbeiten in der Schweiz, vol 67. Swiss Geodetic CommissionGoogle Scholar
- Vázquez GE (2009) Geodesy in Antarctica: a pilot study based on the TAMDEF GPS network, Victoria Land, Antarctica. PhD Thesis, Geodetic Science Department, The Ohio State University, Columbus, OHGoogle Scholar
- Vázquez GE, Brzezinska D (2005) Precipitable water vapor from GPS in Antarctica: opportunities from the TAMDEF GPS network, Victoria Land. Poster at the AGU Fall Meeting. San Francisco CAGoogle Scholar