Articles | Volume 10, issue 9
https://doi.org/10.5194/amt-10-3117-2017
https://doi.org/10.5194/amt-10-3117-2017
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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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Fadwa Alshawaf on behalf of the Authors (21 Jul 2017)  Manuscript 
ED: Publish subject to minor revisions (Editor review) (31 Jul 2017) by Ralf Sussmann
AR by Fadwa Alshawaf on behalf of the Authors (01 Aug 2017)  Author's response   Manuscript 
ED: Publish subject to technical corrections (02 Aug 2017) by Ralf Sussmann
AR by Fadwa Alshawaf on behalf of the Authors (03 Aug 2017)  Manuscript 
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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.