Articles | Volume 14, issue 12
https://doi.org/10.5194/essd-14-5287-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-5287-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Tropospheric water vapor: a comprehensive high-resolution data collection for the transnational Upper Rhine Graben region
Campus Alpin (IMK-IFU), Karlsruhe Institute of Technology, Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
Andreas Wagner
Institute of Geography (IGUA), University of Augsburg, Alter Postweg 118, 86159 Augsburg, Germany
Bettina Kamm
Institute of Photogrammetry and Remote Sensing (IPF), Karlsruhe Institute of Technology, Englerstr. 7, 76131 Karlsruhe, Germany
Endrit Shehaj
Institute of Geodesy and Photogrammetry, ETH Zurich, Robert-Gnehm-Weg 15, 8093 Zurich, Switzerland
Andreas Schenk
Institute of Photogrammetry and Remote Sensing (IPF), Karlsruhe Institute of Technology, Englerstr. 7, 76131 Karlsruhe, Germany
Peng Yuan
Geodetic Institute (GIK), Karlsruhe Institute of Technology, Englerstr. 7, 76131 Karlsruhe, Germany
Alain Geiger
Institute of Geodesy and Photogrammetry, ETH Zurich, Robert-Gnehm-Weg 15, 8093 Zurich, Switzerland
Gregor Moeller
Institute of Geodesy and Photogrammetry, ETH Zurich, Robert-Gnehm-Weg 15, 8093 Zurich, Switzerland
Bernhard Heck
Geodetic Institute (GIK), Karlsruhe Institute of Technology, Englerstr. 7, 76131 Karlsruhe, Germany
Stefan Hinz
Institute of Photogrammetry and Remote Sensing (IPF), Karlsruhe Institute of Technology, Englerstr. 7, 76131 Karlsruhe, Germany
Hansjörg Kutterer
Geodetic Institute (GIK), Karlsruhe Institute of Technology, Englerstr. 7, 76131 Karlsruhe, Germany
Harald Kunstmann
Campus Alpin (IMK-IFU), Karlsruhe Institute of Technology, Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
Institute of Geography (IGUA), University of Augsburg, Alter Postweg 118, 86159 Augsburg, Germany
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Cited
6 citations as recorded by crossref.
- An enhanced integrated water vapour dataset from more than 10 000 global ground-based GPS stations in 2020 P. Yuan et al. 10.5194/essd-15-723-2023
- Reproducing High Spatiotemporal Resolution Precipitable Water Distributions Using Numerical Prediction Data S. Akatsuka 10.3390/atmos14071177
- WRF data assimilation of weather stations and lightning data for a convective event in northern Italy E. Maggioni et al. 10.1007/s42865-023-00061-8
- The Novel Copernicus Global Dataset of Atmospheric Total Water Vapour Content with Related Uncertainties from GNSS Observations K. Rannat et al. 10.3390/rs15215150
- Vertical and horizontal variability and representativeness of the water vapor isotope composition in the lower troposphere: insight from ultralight aircraft flights in southern France during summer 2021 D. Zannoni et al. 10.5194/acp-25-9471-2025
- Tropospheric water vapor: a comprehensive high-resolution data collection for the transnational Upper Rhine Graben region B. Fersch et al. 10.5194/essd-14-5287-2022
5 citations as recorded by crossref.
- An enhanced integrated water vapour dataset from more than 10 000 global ground-based GPS stations in 2020 P. Yuan et al. 10.5194/essd-15-723-2023
- Reproducing High Spatiotemporal Resolution Precipitable Water Distributions Using Numerical Prediction Data S. Akatsuka 10.3390/atmos14071177
- WRF data assimilation of weather stations and lightning data for a convective event in northern Italy E. Maggioni et al. 10.1007/s42865-023-00061-8
- The Novel Copernicus Global Dataset of Atmospheric Total Water Vapour Content with Related Uncertainties from GNSS Observations K. Rannat et al. 10.3390/rs15215150
- Vertical and horizontal variability and representativeness of the water vapor isotope composition in the lower troposphere: insight from ultralight aircraft flights in southern France during summer 2021 D. Zannoni et al. 10.5194/acp-25-9471-2025
Latest update: 06 Nov 2025
Short summary
In this study, a comprehensive multi-disciplinary dataset for tropospheric water vapor was developed. Geodetic, photogrammetric, and atmospheric modeling and data fusion techniques were used to obtain maps of water vapor in a high spatial and temporal resolution. It could be shown that regional weather simulations for different seasons benefit from assimilating these maps and that the combination of the different observation techniques led to positive synergies.
In this study, a comprehensive multi-disciplinary dataset for tropospheric water vapor was...
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