Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 26, issue 23
Articles | Volume 26, issue 23
https://doi.org/10.5194/hess-26-6121-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-6121-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 23
Research article
 | 
06 Dec 2022
Research article |  | 06 Dec 2022

Evaluation of a new observationally based channel parameterization for the National Water Model

Aaron Heldmyer, Ben Livneh, James McCreight, Laura Read, Joseph Kasprzyk, and Toby Minear

Viewed

Total article views: 2,856 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,060 731 65 2,856 71 91
  • HTML: 2,060
  • PDF: 731
  • XML: 65
  • Total: 2,856
  • BibTeX: 71
  • EndNote: 91
Views and downloads (calculated since 03 Dec 2021)
Cumulative views and downloads (calculated since 03 Dec 2021)

Viewed (geographical distribution)

Total article views: 2,856 (including HTML, PDF, and XML) Thereof 2,764 with geography defined and 92 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Nov 2025
Download
Short summary
Measurements of channel characteristics are important for accurate forecasting in the NOAA National Water Model (NWM) but are scarcely available. We seek to improve channel representativeness in the NWM by updating channel geometry and roughness parameters using a large, previously unpublished, dataset of approximately 48 000 gauges. We find that the updated channel parameterization from this new dataset leads to improvements in simulated streamflow performance and channel representation.
Read more
Share