Articles | Volume 13, issue 7
https://doi.org/10.5194/hess-13-1235-2009
https://doi.org/10.5194/hess-13-1235-2009
21 Jul 2009
 | 21 Jul 2009

A novel approach to parameter uncertainty analysis of hydrological models using neural networks

D. L. Shrestha, N. Kayastha, and D. P. Solomatine

Related subject area

Disciplinary Fields: Hydrology and Surface Processes | Domains of Integration: Catchment and River Basin
Interrelationships between MODIS/Terra remotely sensed snow cover and the hydrometeorology of the Quesnel River Basin, British Columbia, Canada
J. Tong, S. J. Déry, and P. L. Jackson
Hydrol. Earth Syst. Sci., 13, 1439–1452, https://doi.org/10.5194/hess-13-1439-2009,https://doi.org/10.5194/hess-13-1439-2009, 2009
An overview of the LOess Plateau mesa region land surface process field EXperiment series (LOPEXs)
J. Wen, L. Wang, and Z. G. Wei
Hydrol. Earth Syst. Sci., 13, 945–951, https://doi.org/10.5194/hess-13-945-2009,https://doi.org/10.5194/hess-13-945-2009, 2009
Conditioning rainfall-runoff model parameters for ungauged catchments and land management impacts analysis
N. Bulygina, N. McIntyre, and H. Wheater
Hydrol. Earth Syst. Sci., 13, 893–904, https://doi.org/10.5194/hess-13-893-2009,https://doi.org/10.5194/hess-13-893-2009, 2009
Estimating spatially distributed monthly evapotranspiration rates by linear transformations of MODIS daytime land surface temperature data
J. Szilagyi and J. Jozsa
Hydrol. Earth Syst. Sci., 13, 629–637, https://doi.org/10.5194/hess-13-629-2009,https://doi.org/10.5194/hess-13-629-2009, 2009

Cited articles

Abebe, A. J. and Price, R. K.: Managing uncertainty in hydrological models using complementary models, Hydrol. Sci. J., 48, 679–692, 2003.
Abebe, A. J. and Price, R. K.: Forecasting surge prediction accuracy on the Dutch coast using neural networks, in: Proceedings of the 6th International Conference on Hydroinformatics: Singapore, 21–24 June 2004, World Scientific, 2004.
Abrahart, R. J. and See, L.: Comparing neural network and autoregressive moving average techniques for the provision of continuous river flow forecasts in two contrasting catchments, Hydrol. Proc., 14, 2157-2172, 2000.
Ajami, N. K., Duan, Q., and Sorooshian, S.: An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction, Water Resour. Res., 43, W01403, https://doi.org/10.1029/2005WR004745, 2007.
Allen, R. G., Pereisa, L. S., Raes, D., and Smith, M.: Crop evapotranspiration, guideline for computing crop water requirements, FAO, Irrigation and drainage paper, 56, 300 pp., 1998.
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