Long Series of GNSS Integrated Precipitable Water as a Climate Change Indicator

Kruczyk, Michał

doi:10.2478/rgg-2015-0008

Abstract

This paper investigates information potential contained in tropospheric delay product for selected International GNSS Service (IGS) stations in climatologic research. Long time series of daily averaged Integrated Precipitable Water (IPW) can serve as climate indicator. The seasonal model of IPW change has been adjusted to the multi-year series (by the least square method). Author applied two modes: sinusoidal and composite (two or more oscillations). Even simple sinusoidal seasonal model (of daily IPW values series) clearly represents diversity of world climates. Residuals in periods from 10 up to 17 years are searched for some long-term IPW trend – self-evident climate change indicator. Results are ambiguous: for some stations or periods IPW trends are quite clear, the following years (or the other station) not visible. Method of fitting linear trend to IPW series does not influence considerably the value of linear trend. The results are mostly influenced by series length, completeness and data (e.g. meteorological) quality. The longer and more homogenous IPW series, the better chance to estimate the magnitude of climatologic IPW changes.

References

Andrews, D. G. (2010). An Introduction to Atmospheric Physics. Second Edition, Cambridge University Press
Search in Google Scholar
Bałdysz, Z., Nykiel, G., Figurski, M., Szafranek, K., Kroszczyński, K. (2015). Investigation of the 16-year and 18-year ZTD Time Series Derived from GPS Data Processing, Acta Geophysica 63(4), pp 1103-1125, doi: 10.1515/acgeo-2015-003310.1515/acgeo-2015-0033
Search in Google Scholar
Bevis, M., Businger, S., Herring, T., Rocken, C., Anthes, R., & Ware, R. (1992). GPS Meteorology: Remote Sensing of Atmospheric Water Vapour using the Global Positioning System, J. Geophys. Res., 97, pp 15,787-15,80110.1029/92JD01517
Search in Google Scholar
Byun, S. H., Bar-Sever, Yoaz E. (2009). A new type of troposphere zenith path delay product of the international GNSS service. J. Geod. 83 (2009): pp 367–373, doi: 10.1007/s00190-008-0288-810.1007/s00190-008-0288-8
Search in Google Scholar
Davis, J. L., Herring, T. A., Shapiro, I. I., Rogers, A. E., & Elgered, G. (1985). Geodesy by radio interferometry: Effects of atmospheric modeling errors on estimates of baseline length, Radio Sci., 20, pp 1593-1607. doi:10.1029/RS020i006p0159310.1029/RS020i006p01593
Search in Google Scholar
Duan, J., Bevis, M., Fang, P., Bock, Y., Chiswell, S., Businger, S., Rocken, C., Solheim, F., Van Hove, T., Ware, R., McClusky, S., Herring, T. A. & King, R. W. (1996). GPS meteorology: direct estimation of the absolute value of precipitable water. J. Applied Met. 35, 830–838. doi:10.1175/1520-0450
Search in Google Scholar
Forster, P., Ramaswamy V., Artaxo P., Berntsen T., Betts R., Fahey D.W., Haywood J., Lean J., Lowe D.C., Myhre G., Nganga J., Prinn R., Raga G., Schulz M. and Van Dorland R. (2007). Changes in Atmospheric Constituents and in Radiative Forcing. In: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor and H.L. Miller (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York
Search in Google Scholar
Gradinarsky, L.P., Johansson, J.M., Bouma, H.R, Scherneck, H.-G., Elgered, G. (2002). Climate monitoring using GPS. Physics and Chemistry of the Earth, 27 pp. 335-340. doi: 10.1016/S1474-7065(02)00009-810.1016/S1474-7065(02)00009-8
Search in Google Scholar
Hofmann-Wellenhof, B., Lichtenegger, H., Wasle, E. (2008). GNSS – Global Navigation Satellite Systems GPS, GLONASS, Galileo, and more. Springer Wien NewYork
Search in Google Scholar
Jin, S., Park, J.-U., Cho, J.-H., Park, P.-H. (2007). Seasonal variability of GPS-derived zenith tropospheric delay (1994-2006) and climate implications. J.Geophys. Res., 112: D09110. doi:10.1029/2006JD00777210.1029/2006JD007772
Search in Google Scholar
Kruczyk, M. (2014). Integrated Precipitable Water from GNSS as a climate parameter, Geoinformation Issues Vol. 6, No 1 (6), 21–35/2014
Search in Google Scholar
Kruczyk, M., Liwosz, T., (2012). Tropospheric Delay from EPN Reprocessing by WUT LAC as Valuable Data Source – in Comparison to Operational EPN Products and Aerological Data, Reports on Geodesy, No 1 (92) /2012, pp. 105–118
Search in Google Scholar
McIlven, R. (2010). Fundamentals of Weather and Climate, Second Edition, Oxford University Pess
Search in Google Scholar
Ning, T., Elgered, G. (2012). Trends in the atmospheric water vapour content from ground-based GPS: The impact of the elevation cutoff angle. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5 pp. 744-751. doi:10.1109/JSTARS.2012.219139210.1109/JSTARS.2012.2191392
Search in Google Scholar
Rocken, C., Ware, R., Van Hove, T., Solheim, F., Alber, C., Johnson, J., Bevis, M., Businger, S. (1993). Sensing atmospheric water vapor with the Global Positioning System. Geophys. Res. Lett., 20, 263110.1029/93GL02935
Search in Google Scholar
Salby, M. L. (2012). Physics of the Atmosphere and Climate. Cambridge University Press10.1017/CBO9781139005265
Search in Google Scholar
Shelton, M. L. (2009). Hydrometeorology. Perspectives and Applications. Cambridge University Press
Search in Google Scholar
Trenberth, K. E., Dai, A., Rasmussen, R.M. and Parsons, D.B. (2003). The changing character of precipitation. Bull. Amer. Meteor. Soc., 84 (9), pp. 1205-1217. doi: 10.1175/BAMS-84-9-120510.1175/BAMS-84-9-1205
Search in Google Scholar
Yuan, L.L., Anthes. R.A., Ware, R.H., Rocken, C., Bonner, W.D., Bevis, M.G., Businger, S. (1993). Sensing Climate Change Using the Global Positioning System. J.Geophys. Res., Vol. 98 No. D8, pp. 14 925 - 14 93710.1029/93JD00948
Search in Google Scholar

Long Series of GNSS Integrated Precipitable Water as a Climate Change Indicator

Abstract

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