Validation of GPS atmospheric water vapor with WVR data in satellite tracking mode

Shangguan, Ming, Heise, S., Bender, M., Dick, G., Ramatschi, M. and Wicert, J. (2015) Validation of GPS atmospheric water vapor with WVR data in satellite tracking mode Annales of Geophysicae, 33 . pp. 55-61. DOI 10.5194/angeo-33-55-2015.

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Slant-integrated water vapor (SIWV) data derived from GPS STDs (slant total delays), which provide the spatial information on tropospheric water vapor, have a high potential for assimilation to weather models or for nowcasting or reconstruction of the 3-D humidity field with tomographic techniques. Therefore, the accuracy of GPS STD is important, and independent observations are needed to estimate the quality of GPS STD. In 2012 the GFZ (German Research Centre for Geosciences) started to operate a microwave radiometer in the vicinity of the Potsdam GPS station. The water vapor content along the line of sight between a ground station and a GPS satellite can be derived from GPS data and directly measured by a water vapor radiometer (WVR) at the same time. In this study we present the validation results of SIWV observed by a ground-based GPS receiver and a WVR. The validation covers 184 days of data with dry and wet humidity conditions. SIWV data from GPS and WVR generally show good agreement with a mean bias of −0.4 kg m−2 and an rms (root mean square) of 3.15 kg m−2. The differences in SIWV show an elevation dependent on an rms of 7.13 kg m−2 below 15° but of 1.76 kg m−2 above 15°. Nevertheless, this elevation dependence is not observed regarding relative deviations. The relation between the differences and possible influencing factors (elevation angles, pressure, temperature and relative humidity) are analyzed in this study. Besides the elevation, dependencies between the atmospheric humidity conditions, temperature and the differences in SIWV are found.

Document Type: Article
Additional Information: WOS:000348980700007
Keywords: History of geophysics (geodesy); meteorology and atmospheric dynamics (instruments and techniques); radio science (remote sensing)
Research affiliation: OceanRep > GEOMAR > FB1 Ocean Circulation and Climate Dynamics > FB1-ME Maritime Meteorology
Refereed: Yes
DOI etc.: 10.5194/angeo-33-55-2015
ISSN: 0992-7689
Date Deposited: 09 Dec 2014 06:43
Last Modified: 13 Apr 2017 10:02

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