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.
Research article
| 
06 Dec 2022
Research article |
| 06 Dec 2022
| 06 Dec 2022
Evaluation of a new observationally based channel parameterization for the National Water Model
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Cited articles
Abdulla, F. A. and Lettenmaier, D. P.: Development of regional parameter
estimation equations for a macroscale hydrologic model, J. Hydrol., 197, 230–257, https://doi.org/10.1016/S0022-1694(96)03262-3, 1997.
Abebe, N. A., Ogden, F. L., and Pradhan, N. R.: Sensitivity and uncertainty
analysis of the conceptual HBV rainfall–runoff model: Implications for
parameter estimation, J. Hydrol., 389, 301–310,
https://doi.org/10.1016/j.jhydrol.2010.06.007, 2010.
Allen, G. H., Pavelsky, T. M., Barefoot, E. A., Lamb, M. P., Butman, D.,
Tashie, A., and Gleason, C. J.: Similarity of stream width distributions
across headwater systems, Nat, Commun,, 9, 610,
https://doi.org/10.1038/s41467-018-02991-w, 2018.
Anderson, B. G., Rutherfurd, I. D., and Western, A. W.: An analysis of the
influence of riparian vegetation on the propagation of flood waves,
Environ. Modell. Softw., 21, 1290–1296, https://doi.org/10.1016/j.envsoft.2005.04.027, 2006.
Arsenault, K. R., Nearing, G. S., Wang, S., Yatheendradas, S., and
Peters-Lidard, C. D.: Parameter Sensitivity of the Noah-MP Land Surface
Model with Dynamic Vegetation, J. Hydrometeorol., 19, 815–830,
https://doi.org/10.1175/jhm-d-17-0205.1, 2018.
