Preprints
https://doi.org/10.5194/essd-2022-57
https://doi.org/10.5194/essd-2022-57
 
07 Jun 2022
07 Jun 2022
Status: this preprint is currently under review for the journal ESSD.

Tropospheric water vapor: A comprehensive high resolution data collection for the transnational Upper Rhine Graben region

Benjamin Fersch1, Andreas Wagner2, Bettina Kamm3, Endrit Shehaj5, Andreas Schenk3, Peng Yuan4, Alain Geiger5, Gregor Moeller5, Bernhard Heck4, Stefan Hinz3, Hansjörg Kutterer4, and Harald Kunstmann1,2 Benjamin Fersch et al.
  • 1Karlsruhe Institute of Technology, Campus Alpin (IMK-IFU), Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
  • 2University of Augsburg, Institute of Geography (IGUA), Alter Postweg 118, 86159 Augsburg, Germany
  • 3Karlsruhe Institute of Technology, Institute of Photogrammetry and Remote Sensing (IPF), Englerstr. 7, 76131 Karlsruhe, Germany
  • 4Karlsruhe Institute of Technology, Geodetic Institute (GIK), Englerstr. 7, 76131 Karlsruhe, Germany
  • 5ETH Zurich, Institute of Geodesy and Photogrammetry, Robert-Gnehm-Weg 15, 8093, Zurich, Switzerland

Abstract. Tropospheric water vapor is among the most important trace gases of the Earth’s climate system and its temporal and spatial distribution is critical for the genesis of clouds and precipitation. Due to the pronounced dynamics of the atmosphere and the non-linear relation of air temperature and saturated vapor pressure, it is highly variable which hampers the development of high resolution and three-dimensional maps of regional extent. As a complement to the sparsely distributed radio sounding observation network, GNSS meteorology and interferometric radar satellite remote sensing can assist with their complementary high temporal or spatial resolution. In addition, data fusion with collocation and tomography methods enables the construction of detailed maps in either two or three dimensions. By assimilation of these observation based datasets into regional dynamic atmospheric models the optimal state of the tropospheric water vapor conditions can be guessed. In the following, a collection of basic and processed datasets, obtained with the above listed methods, is presented that describes the state and course of atmospheric water vapor within the range of the GNSS Upper Rhine Graben Network (GURN) region.

Benjamin Fersch et al.

Status: open (until 09 Aug 2022)

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  • RC1: 'Comment on essd-2022-57', Anonymous Referee #1, 02 Jul 2022 reply

Benjamin Fersch et al.

Data sets

A comprehensive high resolution data collection for tropospheric water vapor assessment for the Upper Rhine Graben, Germany. Fersch, Benjamin; Kamm, Bettina; Shehaj, Endrit; Wagner, Andreas; Yuan, Peng; Möller, Gregor; Schenk, Andreas; Geiger, Alain; Hinz, Stefan; Kutterer, Hansjörg; Kunstmann, Harald https://www.pangaea.de/tok/e11e2f371fb3b638563ed6b6e3128564ba9ba845

Benjamin Fersch et al.

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Short summary
In this study, a comprehensive multi-disciplinary dataset for tropospheric water vapor was developed. Geodetic, photogrammetric, atmospheric modeling and data fusion techniques were used to obtain maps of water vapor in 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.