Preprints
https://doi.org/10.5194/egusphere-2022-1468
https://doi.org/10.5194/egusphere-2022-1468
16 Feb 2023
 | 16 Feb 2023

Technical note: Statistical generation of climate-perturbed flow duration curves

Veysel Yildiz, Robert Milton, Solomon Brown, and Charles Rougé

Abstract. Assessing the robustness of a water resource system's performance under climate change involves exploring a wide range of streamflow conditions. This is often achieved through rainfall-runoff models, but these are commonly validated under historical conditions with no guarantee that calibrated parameters would still be valid in a different climate. In this note, we introduce the first statistical generation method to produce a range of plausible streamflow futures that are coherent across the full range of hydrological conditions. It relies on a three-parameter analytical representation the flow duration curve (FDC) that has been proved to perform well across a range of basins of different climate. We rigorously prove that for common sets of streamflow statistics mirroring average behavior, variability, and low flows, the parameterisation of the FDC under this representation is unique. We also show that conditions on these statistics for a solution to exist are commonly met in practice. These analytical results imply that streamflow futures can be explored by sampling wide ranges of three key flow statistics, and by deriving the corresponding FDC to model basin response across the full spectrum of flow conditions. We illustrate this method by exploring in which hydro-climatic futures a proposed run-of-river hydropower plant in eastern Turkey is financially viable. Results show that contrary to approaches that modify streamflow statistics using multipliers applied uniformly throughout a time series, our approach seamlessly represents a large range of futures with increased frequencies of both high and low flows. This matches expected impacts of climate change in the region, and supports analyses of the financial robustness of the proposed infrastructure to climate change. We conclude by highlighting how refinements to the approach could further support rigorous explorations of hydro-climatic futures without the help of rainfall-runoff models.

Journal article(s) based on this preprint

10 Jul 2023
Technical note: Statistical generation of climate-perturbed flow duration curves
Veysel Yildiz, Robert Milton, Solomon Brown, and Charles Rougé
Hydrol. Earth Syst. Sci., 27, 2499–2507, https://doi.org/10.5194/hess-27-2499-2023,https://doi.org/10.5194/hess-27-2499-2023, 2023
Short summary

Veysel Yildiz et al.

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-1468', Anonymous Referee #1, 23 Mar 2023
  • RC2: 'Comment on egusphere-2022-1468', Anonymous Referee #2, 26 Apr 2023

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-1468', Anonymous Referee #1, 23 Mar 2023
  • RC2: 'Comment on egusphere-2022-1468', Anonymous Referee #2, 26 Apr 2023

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) (21 May 2023) by Micha Werner
AR by Veysel Yildiz on behalf of the Authors (30 May 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (11 Jun 2023) by Micha Werner
AR by Veysel Yildiz on behalf of the Authors (13 Jun 2023)  Author's response   Manuscript 

Journal article(s) based on this preprint

10 Jul 2023
Technical note: Statistical generation of climate-perturbed flow duration curves
Veysel Yildiz, Robert Milton, Solomon Brown, and Charles Rougé
Hydrol. Earth Syst. Sci., 27, 2499–2507, https://doi.org/10.5194/hess-27-2499-2023,https://doi.org/10.5194/hess-27-2499-2023, 2023
Short summary

Veysel Yildiz et al.

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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Short summary
The proposed approach is based on the parameterisation of FDCs to generate hypothetical streamflow futures; (1) We sample a broad range of future climates with modified values of three key streamflow statistics, (2) we generate a FDC for each hydro-climate future; (3) the resulting ensemble is ready to support robustness assessments in a changing climate. Results show that our approach seamlessly represents a large range of futures with increased frequencies of both high and low flows.