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Telecommunications and Radio Engineering
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN Imprimir: 0040-2508
ISSN On-line: 1943-6009

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Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v74.i10.70
pages 911-920

COMPARATIVE ANALYSIS OF THE MODELS FOR ESTIMATING THE TOTAL MOISTURE CONTENT OF THE TROPOSPHERE USING DATA OF GPS-MEASUREMENTS OVER THE KHARKOV REGION

A. L. Kovorotniy
O.Ya. Usikov Institute for Radio Physics and Electronics, National Academy of Sciences of Ukraine, 12, Academician Proskura St., Kharkov 61085, Ukraine
Yu. V. Goncharenko
A. Usikov Institute of Radio Physics and Electronics, National Academy of Sciences of Ukraine, 12, Academician Proskura St., Kharkov 61085, Ukraine; Applied Physics Laboratory, University of Washington, Seattle, USA
V. N. Gorobets
O.Ya. Usikov Institute for Radio Physics and Electronics, National Academy of Sciences of Ukraine, 12, Academician Proskura St., Kharkov 61085, Ukraine
F. V. Kivva
O.Ya. Usikov Institute for Radiophysics and Electronics of the National Academy of Sciences of Ukraine, 12, Academician Proskura St., Kharkiv 61085, Ukraine
A. I. Gorb
Navigation and geodesic center, Electronics, Kharkiv 61018,f Ukraine
Yu.M. Galaev
A.Ya. Usikov Institute for Radiophysics and Electronics of the National Academy of Sciences of Ukraine 12, Academician Proskura St., Kharkiv 61085, Ukraine
A. Yu. Balan
Leica Geosystems AG, Representation office in Ukraine; Navigation and geodesic center, Electronics, Kharkiv 61018,f Ukraine

RESUMO

Humidity and its space-and-time distribution are among the meteorological parameters which have crucial influence on microwave propagation through the atmosphere. The paper presents results of measuring the total moisture content of the atmosphere over the Kharkov region using Global Positioning System (GPS). The data have been numerically reduced to the amount of the deposite moisture in the vertical column over the receiver with the use of different models. The results calculated for 10 tropospheric models are analyzed in dependence on different weather conditions. It is shown that two models are preferable, specifically, Saastamoinen for the summer time and Hophield for spring and autumn, which reflects specific regional features of the troposphere associated with peculiarities of the air circulation and temperature conditions. The use of the optimal model allows reducing the error of estimating the moisture content in the atmosphere by a factor of 3 or 5.


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