Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 21, issue 7
Articles | Volume 21, issue 7
https://doi.org/10.5194/hess-21-3827-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-3827-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
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

Viewed

Total article views: 3,023 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,828 1,092 103 3,023 73 104
  • HTML: 1,828
  • PDF: 1,092
  • XML: 103
  • Total: 3,023
  • BibTeX: 73
  • EndNote: 104
Views and downloads (calculated since 06 Feb 2017)
Cumulative views and downloads (calculated since 06 Feb 2017)

Viewed (geographical distribution)

Total article views: 3,023 (including HTML, PDF, and XML) Thereof 2,934 with geography defined and 89 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 02 Apr 2025
Download
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.
Read more
Share