Articles | Volume 10, issue 9
Research article
31 Aug 2017
Research article |  | 31 Aug 2017

Estimating trends in atmospheric water vapor and temperature time series over Germany

Fadwa Alshawaf, Kyriakos Balidakis, Galina Dick, Stefan Heise, and Jens Wickert

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Revised manuscript not accepted
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Cited articles

Alshawaf, F., Hinz, S., Mayer, M., and Meyer, F. J.: Constructing accurate maps of atmospheric water vapor by combining interferometric synthetic aperture radar and GNSS observations, J. Geophys. Res.-Atmos., 120, 1391–1403, 2015.
Arguez, A. and Vose, R. S.: The definition of the standard WMO climate normal: The key to deriving alternative climate normals, B. Am. Meteorol. Soc., 92, 699–704, 2011.
Askne, J. and Nordius, H.: Estimation of tropospheric delay for microwaves from surface weather data, Radio Sci., 22, 379–386, 1987.
Bender, M., Dick, G., Wickert, J., Schmidt, T., Song, S., Gendt, G., Ge, M., and Rothacher, M.: Validation of GPS slant delays using water vapour radiometers and weather models, Meteorol. Z., 17, 807–812, 2008.
Bender, M., Dick, G., Ge, M., Deng, Z., Wickert, J., Kahle, H.-G., Raabe, A., and Tetzlaff, G.: Development of a GNSS water vapour tomography system using algebraic reconstruction techniques, Adv. Space Res., 47, 1704–1720, 2011.
Short summary
In this paper, we aimed at estimating climatic trends using precipitable water vapor time series and surface measurements of air temperature in Germany. We used GNSS, ERA-Interim, and synoptic data. The results show mainly a positive trend in precipitable water vapor and temperature with an increase in the trend when moving to northeastern Germany.