Articles | Volume 25, issue 10
Hydrol. Earth Syst. Sci., 25, 5517–5534, 2021
https://doi.org/10.5194/hess-25-5517-2021
Hydrol. Earth Syst. Sci., 25, 5517–5534, 2021
https://doi.org/10.5194/hess-25-5517-2021

Research article 21 Oct 2021

Research article | 21 Oct 2021

Benchmarking data-driven rainfall–runoff models in Great Britain: a comparison of long short-term memory (LSTM)-based models with four lumped conceptual models

Thomas Lees et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on hess-2021-127', Alison Kay, 16 Mar 2021
    • CC2: 'Reply on CC1', Thomas Lees, 16 Mar 2021
      • CC3: 'Reply on CC2', Alison Kay, 16 Mar 2021
      • AC4: 'Reply on CC2', Thomas Lees, 14 Jun 2021
  • RC1: 'Comment on hess-2021-127', Anonymous Referee #1, 29 Mar 2021
    • AC1: 'Reply on RC1', Thomas Lees, 14 Jun 2021
  • RC2: 'Comment on hess-2021-127', Anonymous Referee #2, 06 Apr 2021
    • AC2: 'Reply on RC2', Thomas Lees, 14 Jun 2021
  • RC3: 'Comment on hess-2021-127', Anonymous Referee #3, 18 May 2021
    • AC3: 'Reply on RC3', Thomas Lees, 14 Jun 2021
  • AC5: 'Overview of Proposed Manuscript Changes based on Reviewer Comments', Thomas Lees, 14 Jun 2021
  • AC6: 'Overview of Proposed Manuscript Changes based on Reviewer Comments', Thomas Lees, 14 Jun 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (15 Jun 2021) by Nadav Peleg
AR by Thomas Lees on behalf of the Authors (27 Jul 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (28 Jul 2021) by Nadav Peleg
RR by Anonymous Referee #1 (30 Jul 2021)
RR by Anonymous Referee #2 (16 Aug 2021)
ED: Publish subject to technical corrections (29 Aug 2021) by Nadav Peleg
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Short summary
We used deep learning (DL) models to simulate the amount of water moving through a river channel (discharge) based on the rainfall, temperature and potential evaporation in the previous days. We tested the DL models on catchments across Great Britain finding that the model can accurately simulate hydrological systems across a variety of catchment conditions. Ultimately, the model struggled most in areas where there is chalky bedrock and where human influence on the catchment is large.