Articles | Volume 19, issue 7
Hydrol. Earth Syst. Sci., 19, 3239–3251, 2015
https://doi.org/10.5194/hess-19-3239-2015
Hydrol. Earth Syst. Sci., 19, 3239–3251, 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 et al.

Viewed

Total article views: 3,251 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,399 1,753 99 3,251 111 135
  • HTML: 1,399
  • PDF: 1,753
  • XML: 99
  • Total: 3,251
  • BibTeX: 111
  • EndNote: 135
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: 05 Mar 2021
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.