Articles | Volume 21, issue 7
Research article
27 Jul 2017
Research article |  | 27 Jul 2017

A comparison of the discrete cosine and wavelet transforms for hydrologic model input data reduction

Ashley Wright, Jeffrey P. Walker, David E. Robertson, and Valentijn R. N. Pauwels


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 revisions (further review by Editor and Referees) (16 May 2017) by Insa Neuweiler
AR by Ashley Wright on behalf of the Authors (30 May 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (04 Jun 2017) by Insa Neuweiler
RR by Anonymous Referee #3 (12 Jun 2017)
ED: Publish subject to technical corrections (24 Jun 2017) by Insa Neuweiler
AR by Ashley Wright on behalf of the Authors (27 Jun 2017)  Author's response    Manuscript
Short summary
The accurate reduction of hydrologic model input data is an impediment towards understanding input uncertainty and model structural errors. This paper compares the ability of two transforms to reduce rainfall input data. The resultant transforms are compressed to varying extents and reconstructed before being evaluated with standard simulation performance summary metrics and descriptive statistics. It is concluded the discrete wavelet transform is most capable of preserving rainfall time series.