Abstract
The Global Positioning System (GPS) has been used in the remote sensing of the atmosphere. A significant component of the atmosphere that affects the GPS signals is the zenith tropospheric delay (ZTD). The computation of ZTD estimates can directly or indirectly reflect weather variations. Through the analysis of ZTD values the hydrostatic and wet component of the total delay can be determined. For example, the wet tropospheric delay could be derived by subtracting the hydrostatic from the total delay. Hydrostatic delay can be estimated from surface or other meteorological data. The wet tropospheric delay can then be used in the derivation of the amount of precipitable water. Precipitable water plays a significant role in the physical and chemical processes of the atmosphere. It also greatly contributes to studies of weather forecasting and climate change. In this study GPS data from 12 permanent stations covering the broader area of the city of Athens, between February 18th and 24th, were used. This period was selected because of a heavy rainfall event on February 22nd. Data were processed using the GAMIT software and precipitable water (PW) estimates with 1 h time interval were derived. The PW values were analyzed in combination with meteorological data such as cloudiness, wind direction and precipitation obtained from the Hellenic Center for Marine Research and the Hydrological Observatory of Athens. The results indicate consistency between the estimated PW values and the related meteorological observations. This study suggests that a continuous record of PW estimates and meteorological variables is highly recommended for further studies on the behavior of the atmospheric water vapor and its contribution to the climate monitoring.
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References
Bevis M, Businger S, Herring TA, Rocken C, Anthes RA, Ware RH (1992) GPS meteorology: remote sensing of atmospheric water vapor using the global positioning system. J Geophys Res 97:15784–15801
Boehm J, Niell A, Tregoning P, Schuh H (2006) Global mapping function (GMF): a new empirical mapping function. Geophys Res Lett 33:L07304. doi:10.1029/2005GL025546
Bruyninx C (2004) The EUREF permanent network: a multi-disciplinary network serving surveyors as well as scientists. Geoinformatics 7:32–35
Changhui Y, Yuan Y, Minjing M, Menglu Z (2013) Cloud detection method based on feature extraction in remote sensing images. Int Arch Photogramm Remote Sens Spat Inf Sci XL-2-W1:173–177. doi:10.5194/isprsarchives-XL-2-W1-173-2013
Davis JL, Herring TA, Shapiro II, Rogers AE, Elgered G (1985) Geodesy by radio interferometry. Effects of atmospheric modeling errors on estimates of baseline length. Radio Sci 20:1593–1607
Dow JM, Neilan RE, Rizos C (2009) The international GNSS service in a changing landscape of global navigation satellite systems. J Geod 83:191–198. doi:10.1007/s00190-008-0300-3
Duan J, Bevis M, Fang P, Bock Y, Chiswell ST, Businger ST (1996) GPS meteorology: direct estimation of the absolute value of precipitable water. J Appl Meteorol 35:830–838
Fotiou A, Pikridas C (2012) GPS and geodetic applications, 2nd edn. Editions Ziti, Thessaloniki
Gregorius T, Blewitt G (1998) The effect of weather fronts on GPS measurements. GPS World 9(5):52–60
Herring TA, King RW, McClusky SC (2010) GAMIT reference manual: GPS analysis at MIT. Department of Earth Atmospheric and Planetary Science, Massachusetts Institute of Technology, Cambridge
Hofmann-Wellenhof H, Lichtenegger B, Wasle H (2008) GNSS – global navigation satellite systems. Springer, New York
Karabatic A, Weber R, Haiden T (2011) Near real-time estimation of tropospheric water vapour content from ground based GNSS data and its potential contribution to weather now-casting in Austria. Adv Space Res 47:1691–1703
Katsougiannopoulos S (2008) Study of tropospheric effect on GNSS signals. Application to the European area, PhD thesis, Department of Geodesy and Surveying, Aristotle University of Thessaloniki, Greece
Mendes VB, Prates G, Santos L, Langley RB (2000) An evaluation of the accuracy of models of the determination of the weighted mean temperature of the atmosphere. In: Proceedings of ION, 2000 National Technical Meeting, January 26–28, Pacific Hotel Disneyland, Anaheim, CA
Moll P, Poli P, Ducrocq V (2008) Assimilation of ground based GNSS data at Meteo France. Presentation at EGVAP workshop, November, Denmark
Rocken C, van Hove T, Johnson J, Solheim F, Ware R, Bevis M, Businger S, Chiswell S (1995) GPS Storm-GPS sensing of water vapor for meteorology. J Atmos Oceanic Tech 12:468–478
Saastamoinen J (1972) Atmospheric correction for the troposphere and stratosphere in radio ranging of satellites. In: Henriksen SW, Mancini A, Chovitz BH (eds) The use of artificial satellites for geodesy, vol 15, Geophysical monograph series. AGU, Washington DC, pp 247--251
Sachsamanoglou C, Makrogiannis T (1998) General meteorology. Editions Ziti, Thessaloniki
Schmid R (2013) IGS Antenna working group. In: Dach R, Jean Y (eds) IGS technical report 2012, pp 141–147
Schüler T (2001) On ground-based gps tropospheric delay estimation. PhD thesis, Institute of Geodesy and Navigation University FAF Munich, Germany
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Katsougiannopoulos, S., Pikridas, C., Zinas, N., Chatzinikos, M., Bitharis, S. (2015). Analysis of Precipitable Water Estimates Using Permanent GPS Station Data During the Athens Heavy Rainfall on February 22th 2013. In: Rizos, C., Willis, P. (eds) IAG 150 Years. International Association of Geodesy Symposia, vol 143. Springer, Cham. https://doi.org/10.1007/1345_2015_16
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DOI: https://doi.org/10.1007/1345_2015_16
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