Articles | Volume 20, issue 2
Hydrol. Earth Syst. Sci., 20, 669–683, 2016
https://doi.org/10.5194/hess-20-669-2016
Hydrol. Earth Syst. Sci., 20, 669–683, 2016
https://doi.org/10.5194/hess-20-669-2016

Research article 11 Feb 2016

Research article | 11 Feb 2016

Comparing statistical and process-based flow duration curve models in ungauged basins and changing rain regimes

M. F. Müller and S. E. Thompson

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (Editor review) (07 Dec 2015) by Stacey Archfield
AR by Marc F. Muller on behalf of the Authors (31 Dec 2015)  Author's response    Manuscript
ED: Publish subject to minor revisions (Editor review) (23 Jan 2016) by Stacey Archfield
AR by Marc F. Muller on behalf of the Authors (25 Jan 2016)  Author's response    Manuscript
ED: Publish as is (27 Jan 2016) by Stacey Archfield
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Short summary
We compare a stochastic (process-based) and statistical (data-based) method to predict flow duration curves in ungauged basins, under stationary and non-stationary conditions, and using Nepal as a case study. Both methods worked well in stationary conditions, with performances driven by the main source of runoff heterogeneity (climate vs. recession). The stochastic model worked better under change, and the performance of the statistical model was determined by the resilience of the flow regime.