Flood and drought hydrologic monitoring: the role of model parameter uncertainty

Chaney, N. W.; Herman, J. D.; Reed, P. M.; Wood, E. F.

doi:10.5194/hess-19-3239-2015

Articles | Volume 19, issue 7

https://doi.org/10.5194/hess-19-3239-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-19-3239-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 19, issue 7

Research article

|

24 Jul 2015

Research article |

| 24 Jul 2015

Flood and drought hydrologic monitoring: the role of model parameter uncertainty

N. W. Chaney, J. D. Herman, P. M. Reed, and E. F. Wood

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Month	HTML	PDF	XML	Total
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Mar 2015	31	20	1	52
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May 2015	13	19	0	32
Jun 2015	31	20	0	51
Jul 2015	121	119	4	244
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Oct 2024	31	8	0	39
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Cumulative views and downloads (calculated since 04 Feb 2015)

Month	HTML	PDF	XML	Total
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Nov 2025	41	46	3	90
Dec 2025	5	12	0	17

Latest update: 06 Dec 2025

Short summary

Land surface modeling is playing an increasing role in global monitoring and prediction of extreme hydrologic events. However, uncertainties in parameter identifiability limit the reliability of model predictions. This study makes use of petascale computing to perform a comprehensive evaluation of land surface modeling for global flood and drought monitoring and suggests paths forward to overcome the challenges posed by parameter uncertainty.