Articles | Volume 27, issue 19
https://doi.org/10.5194/hess-27-3565-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.A Bayesian model for quantifying errors in citizen science data: application to rainfall observations from Nepal
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- Final revised paper (published on 09 Oct 2023)
- Preprint (discussion started on 15 May 2023)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on egusphere-2023-658', Jonathan Paul, 22 May 2023
- AC1: 'Reply on RC1', Jessica Eisma, 13 Jul 2023
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RC2: 'Comment on egusphere-2023-658', Björn Weeser, 19 Jun 2023
- AC2: 'Reply on RC2', Jessica Eisma, 13 Jul 2023
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (further review by editor) (28 Jul 2023) by Wouter Buytaert
AR by Jessica Eisma on behalf of the Authors (31 Jul 2023)
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (29 Aug 2023) by Wouter Buytaert
AR by Jessica Eisma on behalf of the Authors (29 Aug 2023)
Manuscript