Title of article :
Tomographic determination of the spatial distribution of water vapor using GPS observations Original Research Article
Author/Authors :
M. Troller، نويسنده , , A. Geiger، نويسنده , , E. Brockmann، نويسنده , , J. -M. Bettems، نويسنده , , B. Bürki، نويسنده , , H.-G. Kahle، نويسنده ,
Issue Information :
دوهفته نامه با شماره پیاپی سال 2006
Pages :
7
From page :
2211
To page :
2217
Abstract :
With the advent of the GPS navigation system, a promising ground based technique has been introduced which makes it possible to estimate the amount of water vapor in the troposphere from operational GPS networks at relatively low additional costs. While the estimation of the integrated amount is currently well established, the determination of the spatial water vapor distribution and its temporal variation are still a major challenge. To account for the vertical resolution, several tomographic approaches were pursued. We developed the software package AWATOS (atmospheric water vapor tomography software) which is based on the assimilation of double differenced GPS observations. Applying a least-squares inversion, the inhomogeneous spatial distribution of water vapor is determined. An extensive investigation has been carried out in Switzerland. GPS measurements are performed by the dense permanent Swiss national GPS network AGNES of the Swiss Federal Office of Topography (swisstopo). A total of 40 equally distributed water vapor profiles have been estimated on an hourly basis. For the purpose of validation, 22 radiosonde profiles were used at the GPS and meteorological station Payerne. Furthermore, data of the numerical weather model aLMo (alpine model in Switzerland, MeteoSwiss) were compared with the tomographic results. An overall good agreement of the three methods with an rms of better than 1.6 g/m3 absolute humidity was achieved. The results show that AGNES can be used as a dedicated network for the purpose of GPS-tomography, using a horizontal resolution of approximately 50 km and height layers of 300–500 m thickness in the lower troposphere.
Keywords :
GPS meteorology , Water vapor , tomography , Satellite navigation , Quantitative precipitation forecast , Refractivity , GPS , Numerical weather prediction
Journal title :
Advances in Space Research
Serial Year :
2006
Journal title :
Advances in Space Research
Record number :
1130937
Link To Document :
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