Articles | Volume 30, issue 16
https://doi.org/10.5194/hess-30-5195-2026
https://doi.org/10.5194/hess-30-5195-2026
Research article
 | 
17 Aug 2026
Research article |  | 17 Aug 2026

Hydrologic model parameter estimation in snow-dominated headwater catchments using multiple observation datasets

Lauren H. North, Adrienne M. Marshall, Glenn A. Tootle, Lisa Davis, Andy W. Wood, and Eric J. Anderson

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Short summary
We assessed the U.S. National Hydrologic Model's ability to simulate several components of the water cycle using multiple datasets of environmental variables. We find that the model's accuracy in streamflow simulation is positively and negatively impacted by the additional constraints, and more model parameters are identified as important. Our results inform operational hydrologic modeling by illuminating the complexities of using the continually expanding suite of data products.
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