Articles | Volume 26, issue 12
https://doi.org/10.5194/hess-26-3103-2022
https://doi.org/10.5194/hess-26-3103-2022
Research article
 | 
20 Jun 2022
Research article |  | 20 Jun 2022

Seasonal forecasting of lake water quality and algal bloom risk using a continuous Gaussian Bayesian network

Leah A. Jackson-Blake, François Clayer, Sigrid Haande, James E. Sample, and S. Jannicke Moe

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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-2021-621', Anonymous Referee #1, 21 Jan 2022
    • AC1: 'Reply on RC1', Leah Jackson-Blake, 09 Feb 2022
      • RC6: 'Reply on AC1', Anonymous Referee #1, 28 Feb 2022
        • AC6: 'Reply on RC6', Leah Jackson-Blake, 28 Feb 2022
  • RC2: 'Comment on hess-2021-621', Anonymous Referee #2, 16 Feb 2022
    • AC2: 'Reply to RC2', Leah Jackson-Blake, 24 Feb 2022
      • RC3: 'Reply on AC2', Anonymous Referee #2, 24 Feb 2022
        • AC3: 'Reply on RC3', Leah Jackson-Blake, 24 Feb 2022
          • RC4: 'Reply on AC3', Anonymous Referee #2, 24 Feb 2022
            • AC4: 'Reply on RC4', Leah Jackson-Blake, 25 Feb 2022
              • RC5: 'Reply on AC4', Anonymous Referee #2, 25 Feb 2022
                • AC5: 'Reply on RC5', Leah Jackson-Blake, 28 Feb 2022
                  • RC7: 'Reply on AC5', Anonymous Referee #2, 28 Feb 2022
                    • AC7: 'Reply on RC7', Leah Jackson-Blake, 02 Mar 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by editor) (25 Mar 2022) by Ibrahim Alameddine
AR by Leah Jackson-Blake on behalf of the Authors (29 Apr 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (02 May 2022) by Ibrahim Alameddine
AR by Leah Jackson-Blake on behalf of the Authors (19 May 2022)  Author's response    Manuscript
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Short summary
We develop a Gaussian Bayesian network (GBN) for seasonal forecasting of lake water quality and algal bloom risk in a nutrient-impacted lake in southern Norway. Bayesian networks are powerful tools for environmental modelling but are almost exclusively discrete. We demonstrate that a continuous GBN is a promising alternative approach. Predictive performance of the GBN was similar or improved compared to a discrete network, and it was substantially less time-consuming and subjective to develop.