Evaluation of a new observationally based channel parameterization for the National Water Model
-
Published:2022-12-06
Issue:23
Volume:26
Page:6121-6136
-
ISSN:1607-7938
-
Container-title:Hydrology and Earth System Sciences
-
language:en
-
Short-container-title:Hydrol. Earth Syst. Sci.
Author:
Heldmyer Aaron, Livneh BenORCID, McCreight JamesORCID, Read Laura, Kasprzyk Joseph, Minear Toby
Abstract
Abstract. Accurate representation of channel properties is important for forecasting in hydrologic models, as it affects the height, celerity, and attenuation of flood waves. Yet, considerable uncertainty in the parameterization of channel geometry and hydraulic roughness (Manning's n) exists within the NOAA National Water Model (NWM), due largely to data scarcity; only ∼2800 out of the 2.7×106 river reach segments in the NWM have measured channel properties. In this study, we seek to improve channel representativeness by updating channel geometry and roughness parameters using a large, previously unpublished hydraulic geometry (HyG) dataset of approximately 48 000 gauges. We begin with a Sobol' sensitivity analysis of channel geometry parameters for 12 small, semi-natural basins across the continental U.S., which reveals an outsized sensitivity of simulated flow to Manning's n relative to channel geometry parameters. We then develop and evaluate a set of regression-based regionalizations of channel parameters estimated using the HyG dataset. Finally, we compare the model output generated from updated channel parameter sets to observations and the current NWM v2.1 parameterization. We find that while the NWM land surface model holds the most influence over flow, given its control over total volume, the updated channel parameterization leads to improvements in simulated streamflow performance relative to observed flows, with a statistically significant mean R2 increase from 0.479 to 0.494 across approximately 7400 gauge locations. HyG-based channel geometry and roughness provide a substantial overall improvement in channel representation over the default parameterization, updating the previous set value for most reaches of Manning's n=0.060 to a new range between 0.006 and 0.537 (median 0.077). This research provides a more representative, observationally based channel parameter dataset for the NWM routing module and new insight into the influence of the routing module within the overall modeling framework.
Funder
National Oceanic and Atmospheric Administration
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
Reference56 articles.
1. 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. 2. 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. 3. 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. 4. 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. 5. 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.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|