Articles | Volume 27, issue 1
https://doi.org/10.5194/hess-27-319-2023
https://doi.org/10.5194/hess-27-319-2023
Education and communication
 | 
17 Jan 2023
Education and communication |  | 17 Jan 2023

A comprehensive open-source course for teaching applied hydrological modelling in Central Asia

Beatrice Sabine Marti, Aidar Zhumabaev, and Tobias Siegfried

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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 egusphere-2022-966', Hongyi Li, 21 Oct 2022
    • AC1: 'Reply on RC1', Beatrice Marti, 05 Dec 2022
  • CC1: 'Comment on egusphere-2022-966', Zhanar Raimbekova, 28 Nov 2022
    • AC2: 'Reply on CC1', Beatrice Marti, 05 Dec 2022
  • CC2: 'Comment on egusphere-2022-966', Shamshagul Mashtayeva, 29 Nov 2022
    • AC3: 'Reply on CC2', Beatrice Marti, 05 Dec 2022
  • RC2: 'Comment on egusphere-2022-966', Anonymous Referee #2, 04 Dec 2022
    • AC4: 'Reply on RC2', Beatrice Marti, 05 Dec 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish as is (02 Jan 2023) by Fuqiang Tian
AR by Beatrice Marti on behalf of the Authors (05 Jan 2023)  Manuscript 
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Short summary
Numerical modelling is often used for climate impact studies in water resources management. It is, however, not yet highly accessible to many students of hydrology in Central Asia. One big hurdle for new learners is the preparation of relevant data prior to the actual modelling. We present a robust, open-source workflow and comprehensive teaching material that can be used by teachers and by students for self study.