Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 14, issue 12
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.
https://doi.org/10.5194/essd-14-5287-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 12
Data description paper
 | 
02 Dec 2022
Data description paper |  | 02 Dec 2022

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

Benjamin Fersch, Andreas Wagner, Bettina Kamm, Endrit Shehaj, Andreas Schenk, Peng Yuan, Alain Geiger, Gregor Moeller, Bernhard Heck, Stefan Hinz, Hansjörg Kutterer, and Harald Kunstmann

Viewed

Total article views: 2,039 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,526 436 77 2,039 145 71 84
  • HTML: 1,526
  • PDF: 436
  • XML: 77
  • Total: 2,039
  • Supplement: 145
  • BibTeX: 71
  • EndNote: 84
Views and downloads (calculated since 07 Jun 2022)
Cumulative views and downloads (calculated since 07 Jun 2022)

Viewed (geographical distribution)

Total article views: 2,039 (including HTML, PDF, and XML) Thereof 1,960 with geography defined and 79 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
Download
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.
Read more
Altmetrics
Final-revised paper
Preprint