Interpreting the time variability of world-wide GPS and GOME/SCIAMACHY integrated water vapour retrievals, using reanalyses as auxiliary tools
- 1Royal Meteorological Institute of Belgium (RMIB), Uccle, Belgium
- 2Royal Observatory of Belgium (ROB), Uccle, Belgium
- 3Dep. of Hydrology and Climatology, Institute of Geosciences, Faculty of Chemistry and Geosciences, Vilnius University, Lithuania
- 4Max Planck Institute for Chemistry (MPI-C), Mainz, Germany
- 5Royal Belgium Institute for Space Aeronomy (BIRA), Uccle, Belgium
- 1Royal Meteorological Institute of Belgium (RMIB), Uccle, Belgium
- 2Royal Observatory of Belgium (ROB), Uccle, Belgium
- 3Dep. of Hydrology and Climatology, Institute of Geosciences, Faculty of Chemistry and Geosciences, Vilnius University, Lithuania
- 4Max Planck Institute for Chemistry (MPI-C), Mainz, Germany
- 5Royal Belgium Institute for Space Aeronomy (BIRA), Uccle, Belgium
Abstract. This study investigates different aspects of the Integrated Water Vapour (IWV) variability at 118 globally distributed Global Positioning System (GPS) sites, using additionally UV/VIS satellite retrievals by GOME, SCIAMACHY and GOME-2 (denoted as GOMESCIA below), and ERA-Interim reanalysis output at these site locations. Apart from some spatial representativeness issues at especially coastal and island sites, those three datasets correlate rather well, the lowest correlation found between GPS and GOMESCIA (0.865 on average). In this paper, we first study the geographical distribution of the frequency distributions of the IWV time series, and subsequently analyse the seasonal IWV cycle and linear trend differences among the three different datasets. Finally, both the seasonal behaviour and the long-term variability are fitted together by means of a stepwise multiple linear regression of the station’s time series, with a selection of regionally dependent candidate explanatory variables. Overall, the variables that are most frequently used and explain the largest fractions of the IWV variability are the surface temperature and precipitation. Also the surface pressure and tropopause pressure (in particular for higher latitude sites) are important contributors to the IWV time variability. All these variables also seem to account for the sign of long-term trend in the IWV time series to a large extent, when considered as explanatory variable. Furthermore, the multiple linear regression linked the IWV variability at some particular regions to teleconnection patterns or climate/oceanic indices like the North Oscillation index for West USA, the El Niňo Southern Oscillation (ENSO) for East Asia, the East Atlantic (associated with the North Atlantic Oscillation, NAO) index for Europe.
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Roeland Van Malderen et al.


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RC1: 'Review', Anonymous Referee #1, 25 Jan 2019
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AC1: 'Response to reviewer #1', Roeland Van Malderen, 20 Mar 2019
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AC1: 'Response to reviewer #1', Roeland Van Malderen, 20 Mar 2019
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RC2: 'Review of Van Malderen et al.', Anonymous Referee #2, 05 Feb 2019
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AC2: 'Response to reviewer #2', Roeland Van Malderen, 20 Mar 2019
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AC2: 'Response to reviewer #2', Roeland Van Malderen, 20 Mar 2019
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RC3: 'Review of “Interpreting the time variability of world-wide GPS and GOME/SCIAMACHY integrated water vapour retrievals, using reanalyses as auxiliary tools”, by Roeland Van Malderen, Eric Pottiaux, Gintautas Stankunavicius, Steffen Beirle, Thomas Wagner', Anonymous Referee #3, 06 Feb 2019
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AC3: 'Response to reviewer #3', Roeland Van Malderen, 20 Mar 2019
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AC3: 'Response to reviewer #3', Roeland Van Malderen, 20 Mar 2019
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EC1: 'Editor decision and comments', Olivier Bock, 07 Apr 2019


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RC1: 'Review', Anonymous Referee #1, 25 Jan 2019
-
AC1: 'Response to reviewer #1', Roeland Van Malderen, 20 Mar 2019
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AC1: 'Response to reviewer #1', Roeland Van Malderen, 20 Mar 2019
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RC2: 'Review of Van Malderen et al.', Anonymous Referee #2, 05 Feb 2019
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AC2: 'Response to reviewer #2', Roeland Van Malderen, 20 Mar 2019
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AC2: 'Response to reviewer #2', Roeland Van Malderen, 20 Mar 2019
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RC3: 'Review of “Interpreting the time variability of world-wide GPS and GOME/SCIAMACHY integrated water vapour retrievals, using reanalyses as auxiliary tools”, by Roeland Van Malderen, Eric Pottiaux, Gintautas Stankunavicius, Steffen Beirle, Thomas Wagner', Anonymous Referee #3, 06 Feb 2019
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AC3: 'Response to reviewer #3', Roeland Van Malderen, 20 Mar 2019
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AC3: 'Response to reviewer #3', Roeland Van Malderen, 20 Mar 2019
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EC1: 'Editor decision and comments', Olivier Bock, 07 Apr 2019
Roeland Van Malderen et al.
Roeland Van Malderen et al.
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