Articles | Volume 26, issue 23
https://doi.org/10.5194/hess-26-6121-2022
https://doi.org/10.5194/hess-26-6121-2022
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

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Cited articles

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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channel representativeness in the NWM by updating channel geometry and roughness parameters using a large, previously unpublished, dataset of approximately 48 000 gauges.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.