Articles | Volume 27, issue 20
https://doi.org/10.5194/hess-27-3701-2023
https://doi.org/10.5194/hess-27-3701-2023
Technical note
 | 
20 Oct 2023
Technical note |  | 20 Oct 2023

Technical note: Discrete in situ vapor sampling for subsequent lab-based water stable isotope analysis

Barbara Herbstritt, Benjamin Gralher, Stefan Seeger, Michael Rinderer, and Markus Weiler

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2022-393', Anonymous Referee #1, 05 Jan 2023
    • AC1: 'Reply on RC1', Barbara Herbstritt, 03 Apr 2023
  • RC2: 'Comment on hess-2022-393', Anonymous Referee #2, 06 Mar 2023
    • AC2: 'Reply on RC2', Barbara Herbstritt, 03 Apr 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (04 Apr 2023) by Thom Bogaard
AR by Barbara Herbstritt on behalf of the Authors (16 May 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (22 May 2023) by Thom Bogaard
RR by Anonymous Referee #1 (14 Jun 2023)
RR by Anonymous Referee #2 (01 Jul 2023)
ED: Publish subject to minor revisions (review by editor) (03 Jul 2023) by Thom Bogaard
AR by Barbara Herbstritt on behalf of the Authors (20 Jul 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (20 Aug 2023) by Thom Bogaard
AR by Barbara Herbstritt on behalf of the Authors (08 Sep 2023)
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Short summary
We present a method to collect water vapor samples into bags in the field without an in-field analyser, followed by isotope analysis in the lab. This new method resolves even fine-scaled natural isotope variations. It combines low-cost and lightweight components for maximum spatial and temporal flexibility regarding environmental setups. Hence, it allows for sampling even in terrains that are rather difficult to access, enabling future extended isotope datasets in soil sciences and ecohydrology.