Articles | Volume 13, issue 11
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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-87', Camille Risi, 16 Apr 2021
  • RC2: 'Comment on essd-2021-87', Anonymous Referee #2, 08 Aug 2021
  • AC1: 'Response to referees comments', Christopher Diekmann, 13 Sep 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Christopher Diekmann on behalf of the Authors (09 Oct 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (11 Oct 2021) by Nellie Elguindi
AR by Christopher Diekmann on behalf of the Authors (13 Oct 2021)  Manuscript 
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.
Final-revised paper