Articles | Volume 6, issue 1
https://doi.org/10.5194/gmd-6-117-2013
https://doi.org/10.5194/gmd-6-117-2013
Development and technical paper
 | 
29 Jan 2013
Development and technical paper |  | 29 Jan 2013

Using multi-model averaging to improve the reliability of catchment scale nitrogen predictions

J.-F. Exbrayat, N. R. Viney, H.-G. Frede, and L. Breuer

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Cited articles

Abramowitz, G. and Gupta, H.: Toward a model space and model independence metric, Geophys. Res. Lett., 35, L05705, https://doi.org/10.1029/2007GL032834, 2008.
Arheimer, B. and Brandt, M.: Modelling nitrogen transport and retention in the catchments of southern Sweden, Ambio, 27, 471–480, 1998.
Arheimer, B., Andréasson, J., Fogelberg, S., Johnsson, H., Pers, C. B. and Persson, K.: Climate change impact on water quality: model results from southern Sweden, Ambio, 34, 559–566, https://doi.org/10.1579/0044-7447-34.7.559, 2005.
Arnold, J. G., Srinivasan, R., Muttiah, R. S., and Williams, J. R.: Large area hydrologic modeling and assessment part I: Model development, J. Am. Water Resour. As., 34, 73–89, https://doi.org/10.1111/j.1752-1688.1998.tb05961.x, 1998.
Beven, K.: A manifesto for the equifinality thesis, J. Hydrol., 320, 18–36, https://doi.org/10.1016/j.jhydrol.2005.07.007, 2006.