Articles | Volume 26, issue 4
Hydrol. Earth Syst. Sci., 26, 1131–1143, 2022
https://doi.org/10.5194/hess-26-1131-2022

Special issue: Frontiers in the application of Bayesian approaches in water...

Hydrol. Earth Syst. Sci., 26, 1131–1143, 2022
https://doi.org/10.5194/hess-26-1131-2022

Research article 28 Feb 2022

Research article | 28 Feb 2022

Temporally resolved coastal hypoxia forecasting and uncertainty assessment via Bayesian mechanistic modeling

Alexey Katin et al.

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'review of', Anonymous Referee #1, 25 Jun 2021
  • RC2: 'Comment on hess-2021-207', Anonymous Referee #2, 06 Aug 2021
  • RC3: 'Comment on hess-2021-207', Anonymous Referee #3, 07 Aug 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (15 Nov 2021) by Miriam Glendell
AR by Alexey Katin on behalf of the Authors (07 Dec 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (15 Dec 2021) by Miriam Glendell
RR by Anonymous Referee #2 (22 Dec 2021)
RR by Anonymous Referee #1 (17 Jan 2022)
RR by Anonymous Referee #3 (20 Jan 2022)
ED: Publish subject to minor revisions (review by editor) (25 Jan 2022) by Miriam Glendell
AR by Alexey Katin on behalf of the Authors (31 Jan 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (01 Feb 2022) by Miriam Glendell
Download
Short summary
Low oxygen conditions (hypoxia) occur almost every summer in the northern Gulf of Mexico. Here, we present a new approach for forecasting hypoxia from June through September, leveraging a process-based model and an advanced statistical framework. We also show how using spring hydrometeorological information can improve forecast accuracy while reducing uncertainties. The proposed forecasting system shows the potential to support the management of threatened coastal ecosystems and fisheries.