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

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

doi:https://doi.org/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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Final revised paper (published on 24 Jul 2015)
Preprint (discussion started on 04 Feb 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C896: 'Comments on hessd-12-1697-2015', Anonymous Referee #1, 08 Apr 2015
RC C903: 'Impressive setup, nice analyses', Massimiliano Zappa, 08 Apr 2015
AC C1293: 'Response included in attached pdf file', Nathaniel Chaney, 30 Apr 2015

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (Editor review) (13 May 2015) by Ralf Merz

AR by Nathaniel Chaney on behalf of the Authors (22 May 2015) Author's response Manuscript

ED: Publish as is (09 Jun 2015) by Ralf Merz

AR by Nathaniel Chaney on behalf of the Authors (12 Jun 2015)

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.