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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 19, issue 12
Hydrol. Earth Syst. Sci., 19, 4747–4764, 2015
https://doi.org/10.5194/hess-19-4747-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 19, 4747–4764, 2015
https://doi.org/10.5194/hess-19-4747-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 03 Dec 2015

Research article | 03 Dec 2015

Water vapor mapping by fusing InSAR and GNSS remote sensing data and atmospheric simulations

F. Alshawaf et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (15 May 2015) by Erwin Zehe
AR by Fadwa Alshawaf on behalf of the Authors (18 Jun 2015)  Author's response
ED: Referee Nomination & Report Request started (30 Jun 2015) by Erwin Zehe
RR by Anonymous Referee #1 (20 Jul 2015)
RR by Anonymous Referee #3 (20 Aug 2015)
ED: Reconsider after major revisions (16 Sep 2015) by Erwin Zehe
AR by Svenja Lange on behalf of the Authors (29 Oct 2015)  Author's response
ED: Referee Nomination & Report Request started (02 Nov 2015) by Erwin Zehe
RR by Anonymous Referee #3 (13 Nov 2015)
ED: Publish as is (16 Nov 2015) by Erwin Zehe
Publications Copernicus
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Short summary
This work aims at deriving high spatially resolved maps of atmospheric water vapor by the fusion data from Interferometric Synthetic Aperture Radar (InSAR), Global Navigation Satellite Systems (GNSS), and the Weather Research and Forecasting (WRF) model. The data fusion approach exploits the redundant and complementary spatial properties of all data sets to provide more accurate and high-resolution maps of water vapor. The comparison with maps from MERIS shows rms values of less than 1 mm.
This work aims at deriving high spatially resolved maps of atmospheric water vapor by the fusion...
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