The uncertainty of the GNSS-derived IWV

Introduction Conclusions References Tables Figures

[1]  I. Shapiro,et al.  Geodesy by radio interferometry: Effects of atmospheric modeling errors on estimates of baseline length , 1985 .

[2]  A. Propst Think and explain with statistics , 1988 .

[3]  Steven Businger,et al.  GPS Meteorology: Mapping Zenith Wet Delays onto Precipitable Water , 1994 .

[4]  A. Niell Global mapping functions for the atmosphere delay at radio wavelengths , 1996 .

[5]  W. Elliott,et al.  Tropospheric Water Vapor Climatology and Trends over North America: 1973–93 , 1996 .

[6]  Ragne Emardson,et al.  The systematic behavior of water vapor estimates using four years of GPS observations , 2000, IEEE Trans. Geosci. Remote. Sens..

[7]  A. E. Niell,et al.  Improved atmospheric mapping functions for VLBI and GPS , 2000 .

[8]  M. Rothacher Estimation of Station Heights with GPS , 2002 .

[9]  R. Pacione,et al.  Comparison of atmospheric parameters derived from GPS, VLBI and a ground-based microwave radiometer in Italy , 2002 .

[10]  Gerd Gendt,et al.  On the determination of atmospheric water vapor from GPS measurements , 2003 .

[11]  R. Haas,et al.  Multi-technique comparison of tropospheric zenith delays derived during the CONT02 campaign , 2006 .

[12]  Junhong Wang,et al.  A near-global, 2-hourly data set of atmospheric precipitable water from ground-based GPS measurements , 2007 .

[13]  Peter Steigenberger,et al.  Generation of a consistent absolute phase-center correction model for GPS receiver and satellite antennas , 2007 .

[14]  Tobias Nilsson,et al.  Temporal correlations of atmospheric mapping function errors in GPS estimation , 2007 .

[15]  H. Wolf Determination of water density: limitations at the uncertainty level of 1 × 10−6 , 2008 .

[16]  Thomas C. Peterson,et al.  Reference Upper-Air Observations for Climate: Rationale, Progress, and Plans , 2009 .

[17]  Galina Dick,et al.  Integrated water vapor from IGS ground-based GPS observations: initial results from a global 5-min data set , 2009 .

[18]  Sung H. Byun,et al.  A new type of troposphere zenith path delay product of the international GNSS service , 2009 .

[19]  David LaVallee,et al.  Higher‐order ionospheric effects on the GPS reference frame and velocities , 2009 .

[20]  Tom Gardiner,et al.  Reference Quality Upper-Air Measurements: guidance for developing GRUAN data products , 2010 .

[21]  Valery U. Zavorotny,et al.  GPS Multipath and Its Relation to Near-Surface Soil Moisture Content , 2010, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[22]  J. Douša The impact of errors in predicted GPS orbits on zenith troposphere delay estimation , 2010 .

[23]  Peter Steigenberger,et al.  Validation of precipitable water vapor within the NCEP/DOE reanalysis using global GPS observations from one decade. , 2010 .

[24]  Jan M. Johansson,et al.  The impact of microwave absorber and radome geometries on GNSS measurements of station coordinates and atmospheric water vapour , 2011 .

[25]  Gunnar Elgered,et al.  Multi-technique comparisons of 10 years of wet delay estimates on the west coast of Sweden , 2012, Journal of Geodesy.

[26]  Gunnar Elgered,et al.  Trends in the Atmospheric Water Vapor Content From Ground-Based GPS: The Impact of the Elevation Cutoff Angle , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[27]  Gunnar Elgered,et al.  Evaluation of the atmospheric water vapor content in a regional climate model using ground‐based GPS measurements , 2013 .

[28]  R. Van Malderen,et al.  A multi-site intercomparison of integrated water vapour observations for climate change analysis , 2014 .

[29]  Galina Dick,et al.  Systematic errors of mapping functions which are based on the VMF1 concept , 2014, GPS Solutions.

[30]  S. Rózsa Uncertainty Considerations for the Comparison of Water Vapour Derived from Radiosondes and GNSS , 2014 .

[31]  Marco Brogioni,et al.  SAVERS: A Simulator of GNSS Reflections From Bare and Vegetated Soils , 2014, IEEE Transactions on Geoscience and Remote Sensing.