GPS water vapour tomography: preliminary results from the ESCOMPTE field experiment

Water vapour plays a major role in atmospheric processes but remains difficult to quantify due to its high variability in time and space and the sparse set of available measurements. The GPS has proved its capacity to measure the integrated water vapour at zenith with the same accuracy as other methods. Recent studies show that it is possible to quantify the integrated water vapour in the line of sight of the GPS satellite. These observations can be used to study the 3D heterogeneity of the troposphere using tomographic techniques. We develop three-dimensional tomographic software to model the three-dimensional distribution of the tropospheric water vapour from GPS data. First, the tomographic software is validated by simulations based on the realistic ESCOMPTE GPS network configuration. Without a priori information, the absolute value of water vapour is less resolved as opposed to relative horizontal variations. During the ESCOMPTE field experiment, a dense network of 17 dual frequency GPS receivers was operated for 2 weeks within a 20� 20-km area around Marseille (southern France). The network extends from sea level to the top of the Etoile chain (~700 m high). Optimal results have been obtained with time windows of 30-min intervals and input data evaluation every 15 min. The optimal grid for the ESCOMTE geometrical configuration has a horizontal step size of 0.058� 0.058 and 500 m vertical step size. Second, we have compared the results of real data inversions with independent observations. Three inversions have been compared

[1]  Frederic Masson,et al.  Data analysis of a dense GPS network operated during the ESCOMPTE campaign: first results , 2002 .

[2]  Antonio Rius,et al.  Tomography of the lower troposphere using a small dense network of GPS receivers , 2001, IEEE Trans. Geosci. Remote. Sens..

[3]  Pedro Elosegui Accuracy Assessment of GPS Slant-Path Determinations , 2003 .

[4]  Barry E. Schwartz,et al.  Rapid retrieval and assimilation of ground based GPS precipitable water observations at the NOAA Forecast Systems Laboratory: Impact on weather forecasts , 2004 .

[5]  G. Ruffini,et al.  4D tropospheric tomography using GPS slant wet delays , 2000 .

[6]  Gunnar Elgered,et al.  Climate monitoring using GPS , 2002 .

[7]  Gottfried Kirchengast,et al.  Tropospheric water vapor imaging by combination of ground-based and spaceborne GNSS sounding data , 2001 .

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

[9]  J. Chéry,et al.  The Global Positioning System in mountainous areas : effect of the troposphere on the vertical GPS accuracy , 1998 .

[10]  Steven Businger,et al.  The Promise of GPS in Atmospheric Monitoring , 1996 .

[11]  Christian Rocken,et al.  Obtaining single path phase delays from GPS double differences , 2000 .

[12]  Thomas A. Herring,et al.  Effects of atmospheric azimuthal asymmetry on the analysis of space geodetic data , 1997 .

[13]  Jan M. Johansson,et al.  Wet path delay and delay gradients inferred from microwave radiometer, GPS and VLBI observations , 2000 .

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

[15]  Alejandro Flores Jiménez Atmospheric Tomography Using Satellite Radio Signals , 2000 .

[16]  A. Somieski,et al.  GPS water vapor project associated to the ESCOMPTE programme: description and first results of the field experiment. , 2004 .

[17]  Steven Businger,et al.  GPS Meteorology: Direct Estimation of the Absolute Value of Precipitable Water , 1996 .

[18]  C. Kottmeier,et al.  The ESCOMPTE program: an overview , 2004 .

[19]  D. Jerrett,et al.  Potential uses of surface based GPS water vapour measurements for meteorological purposes , 2001 .

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

[21]  Lester L. Yuan,et al.  Sensing Climate Change Using the Global Positioning System , 1993 .

[22]  Christian Rocken,et al.  Comparisons of Line-of-Sight Water Vapor Observations Using the Global Positioning System and a Pointing Microwave Radiometer , 2003 .

[23]  Effect of small‐scale atmospheric inhomogeneity on positioning accuracy with GPS , 2001 .

[24]  Michael Bevis,et al.  GPS meteorology: Reducing systematic errors in geodetic estimates for zenith delay , 1998 .

[25]  Soroosh Sorooshian,et al.  SuomiNet: A Real-Time National GPS Network for Atmospheric Research and Education. , 2000 .

[26]  Lubomir Gradinarsky,et al.  Sensing Atmospheric Water Vapor Using Radio Waves: Studies of the 2, 3 and 4-D Structure of the Atmospheric Water Vapor Using Ground-based Radio Techniques Comprising the Global Positioning System, Microwave Radiometry and Very Long Baseline Interferometry , 2002 .

[27]  T. Herring,et al.  GPS Meteorology: Remote Sensing of Atmospheric Water Vapor Using the Global Positioning System , 1992 .

[28]  Antonio Rius,et al.  Spatio-temporal tomography of the lower troposphere using GPS signals , 2001 .

[29]  Gunnar Elgered,et al.  Tropospheric Radio-Path Delay from Groundbased Microwave Radiometry , 1993 .

[30]  Paul Tregoning,et al.  Accuracy of absolute precipitable water vapor estimates from GPS observations , 1998 .

[31]  Giulio Ruffini,et al.  Ionospheric calibration of radar altimeters using GPS tomography , 1998 .

[32]  Christian Rocken,et al.  Validation of line‐of‐sight water vapor measurements with GPS , 2001 .

[33]  Christian Rocken,et al.  Sensing integrated water vapor along GPS ray paths , 1997 .

[34]  Gunnar Elgered,et al.  Ground‐based measurement of gradients in the “wet” radio refractivity of air , 1993 .

[35]  Clive D Rodgers,et al.  Inverse Methods for Atmospheric Sounding: Theory and Practice , 2000 .

[36]  M. Janssen Atmospheric Remote Sensing by Microwave Radiometry , 1993 .

[37]  Christian Rocken,et al.  GPS/STORM—GPS Sensing of Atmospheric Water Vapor for Meteorology , 1995 .

[38]  Ground-based remote sensing observation of the complex behaviour of the Marseille boundary layer during ESCOMPTE , 2005 .

[39]  Richard B. Langley,et al.  Comparison of Measurements of Atmospheric Wet Delay by Radiosonde, Water Vapor Radiometer, GPS, and VLBI , 2001 .

[40]  G. Stout,et al.  Atmospheric research. , 1973, Science.