Articles | Volume 25, issue 5
Research article
19 May 2021
Research article |  | 19 May 2021

A wavelet-based approach to streamflow event identification and modeled timing error evaluation

Erin Towler and James L. McCreight


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) (21 Jan 2021) by Matthew Hipsey
AR by Erin Towler on behalf of the Authors (24 Feb 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (01 Mar 2021) by Matthew Hipsey
RR by Uwe Ehret (01 Mar 2021)
ED: Publish subject to technical corrections (07 Apr 2021) by Matthew Hipsey
AR by Erin Towler on behalf of the Authors (08 Apr 2021)  Author's response    Manuscript
Short summary
We present a wavelet-based approach to quantify streamflow timing errors for model evaluation and development. We demonstrate the method using real and simulated stream discharge data from several locations. We show how results can be used to identify potential hydrologic processes contributing to the timing errors. Furthermore, we illustrate how the method can document model performance by comparing timing errors across versions of the National Water Model.