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.

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Cited articles

Adler, R. F., Huffman, G. J., Chang, A., Ferraro, R., Xie, P., Janowiak, J., Rudolf, B., Schneider, U., Curtis, S., Bolvin, D. T., Gruber, A., Susskind, J., and Arkin, P. A.: The version 2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979–present), J. Hydrometeorol., 4, 1147–1167, 2003.
Arrouays, D., McKenzie, N., Hempel, J., Richer de Forges, A. R., and McBratney, A. B.: GlobalSoilMap: Basis of the Global Spatial Soil Information System, CRC Press, London, UK, 494 pp., 2014.
Batjes, N. H.: A Homogenized Soil Data File for Global Environmental Research, a Subset of FAO, ISRIC, and NRCS Profiles (Version 1.0), Working Paper and Prepring 95/10b, International Soil Reference and Information Center, Wageningen, 1995.
Beven, K.: A manifesto for the equifinality thesis, J. Hydrol., 320, 18–36, 2006.
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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.