Articles | Volume 19, issue 7
https://doi.org/10.5194/hess-19-3239-2015
https://doi.org/10.5194/hess-19-3239-2015
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

Viewed

Total article views: 4,691 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,196 2,336 159 4,691 163 187
  • HTML: 2,196
  • PDF: 2,336
  • XML: 159
  • Total: 4,691
  • BibTeX: 163
  • EndNote: 187
Views and downloads (calculated since 04 Feb 2015)
Cumulative views and downloads (calculated since 04 Feb 2015)

Cited

Saved (final revised paper)

Saved (final revised paper)

Saved (preprint)

Latest update: 07 Dec 2024
Download
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.