Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2599-2021
https://doi.org/10.5194/hess-25-2599-2021
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

Viewed

Total article views: 1,786 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,214 537 35 1,786 36 38
  • HTML: 1,214
  • PDF: 537
  • XML: 35
  • Total: 1,786
  • BibTeX: 36
  • EndNote: 38
Views and downloads (calculated since 22 Sep 2020)
Cumulative views and downloads (calculated since 22 Sep 2020)

Viewed (geographical distribution)

Total article views: 1,786 (including HTML, PDF, and XML) Thereof 1,628 with geography defined and 158 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 May 2024
Download
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.