Articles | Volume 13, issue 11
https://doi.org/10.5194/essd-13-5273-2021
https://doi.org/10.5194/essd-13-5273-2021
Data description paper
 | 
11 Nov 2021
Data description paper |  | 11 Nov 2021

The global and multi-annual MUSICA IASI {H2O, δD} pair dataset

Christopher J. Diekmann, Matthias Schneider, Benjamin Ertl, Frank Hase, Omaira García, Farahnaz Khosrawi, Eliezer Sepúlveda, Peter Knippertz, and Peter Braesicke

Viewed

Total article views: 2,743 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,683 991 69 2,743 132 53 53
  • HTML: 1,683
  • PDF: 991
  • XML: 69
  • Total: 2,743
  • Supplement: 132
  • BibTeX: 53
  • EndNote: 53
Views and downloads (calculated since 30 Mar 2021)
Cumulative views and downloads (calculated since 30 Mar 2021)

Viewed (geographical distribution)

Total article views: 2,743 (including HTML, PDF, and XML) Thereof 2,564 with geography defined and 179 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
Download
Short summary
The joint analysis of different stable water isotopes in water vapour is a powerful tool for investigating atmospheric moisture pathways. This paper presents a novel global and multi-annual dataset of H2O and HDO in mid-tropospheric water vapour by using data from the satellite sensor Metop/IASI. Due to its unique combination of coverage and resolution in space and time, this dataset is highly promising for studying the hydrological cycle and its representation in weather and climate models.
Altmetrics
Final-revised paper
Preprint