Articles | Volume 26, issue 1
https://doi.org/10.5194/hess-26-149-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.A space–time Bayesian hierarchical modeling framework for projection of seasonal maximum streamflow
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- Final revised paper (published on 12 Jan 2022)
- Supplement to the final revised paper
- Preprint (discussion started on 16 Jun 2021)
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 hess-2021-270', Anonymous Referee #1, 01 Oct 2021
- AC1: 'Reply on RC1', Álvaro Ossandón, 10 Nov 2021
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RC2: 'Comment on hess-2021-270', Anonymous Referee #2, 28 Oct 2021
- AC2: 'Reply on RC2', Álvaro Ossandón, 10 Nov 2021
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by editor) (22 Nov 2021) by Stacey Archfield
![](https://www.hydrology-and-earth-system-sciences.net/graphic_grey_open_symbol_running_text.jpg)
AR by Álvaro Ossandón on behalf of the Authors (22 Nov 2021) 
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (23 Nov 2021) by Stacey Archfield
![](https://www.hydrology-and-earth-system-sciences.net/graphic_grey_open_symbol_running_text.jpg)
Post-review adjustments
AA: Author's adjustment | EA: Editor approval
AA by Álvaro Ossandón on behalf of the Authors (23 Dec 2021)
Author's adjustment
Manuscript
EA: Adjustments approved (03 Jan 2022) by Stacey Archfield