Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2789-2021
https://doi.org/10.5194/hess-25-2789-2021
Research article
 | 
26 May 2021
Research article |  | 26 May 2021

Assessing interannual variability in nitrogen sourcing and retention through hybrid Bayesian watershed modeling

Jonathan W. Miller, Kimia Karimi, Arumugam Sankarasubramanian, and Daniel R. Obenour

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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-2021-52', Anonymous Referee #1, 06 Mar 2021
  • RC2: 'Comment on hess-2021-52', Anonymous Referee #2, 16 Mar 2021

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) (30 Apr 2021) by Miriam Glendell
AR by Jonathan Miller on behalf of the Authors (11 May 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (14 May 2021) by Miriam Glendell
AR by Jonathan Miller on behalf of the Authors (14 May 2021)
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Short summary
Within a watershed, nutrient export can vary greatly over time and space. In this study, we develop a model to leverage over 30 years of streamflow, precipitation, and nutrient sampling data to characterize nitrogen export from various livestock and land use types across a range of precipitation conditions. Modeling results reveal that urban lands developed before 1980 have remarkably high levels of nitrogen export, while agricultural export is most responsive to precipitation.