Articles | Volume 20, issue 7
https://doi.org/10.5194/hess-20-2705-2016
https://doi.org/10.5194/hess-20-2705-2016
Research article
 | 
11 Jul 2016
Research article |  | 11 Jul 2016

Investigation of hydrological time series using copulas for detecting catchment characteristics and anthropogenic impacts

Takayuki Sugimoto, András Bárdossy, Geoffrey G. S. Pegram, and Johannes Cullmann

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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: Reconsider after major revisions (10 Dec 2015) by Stacey Archfield
AR by Anna Wenzel on behalf of the Authors (14 Jan 2016)  Author's response
ED: Referee Nomination & Report Request started (11 Feb 2016) by Stacey Archfield
RR by Anonymous Referee #2 (25 Feb 2016)
ED: Publish subject to minor revisions (Editor review) (15 Mar 2016) by Stacey Archfield
AR by Takayuki Sugimoto on behalf of the Authors (05 Apr 2016)  Author's response    Manuscript
ED: Publish as is (10 May 2016) by Stacey Archfield
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Short summary
This paper is aims to detect the climate change impacts on the hydrological regime from the long-term discharge records. A new method for stochastic analysis using copulas, which has the advantage of scrutinizing the data independent of marginal, is suggested in this paper. Two measures are used in the copula domain: one focuses on the asymmetric characteristic of data and the other compares the distances between the copulas. These are calculated for 100 years of daily discharges and the results are discussed.