Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: A large-sample experiment at monthly timescale

Author:

Papacharalampous GeorgiaORCID,Tyralis HristosORCID,Koutsoyiannis DemetrisORCID,Montanari AlbertoORCID

Funder

Hellenic Foundation

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference188 articles.

1. Development of a new quantile-based method for the assessment of regional water resources in a highly-regulated river basin;Abbas;Water Res. Manag.,2019

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3. Allaire, J.J., Xie, Y., McPherson, J., Luraschi, J., Ushey, K., Atkins, A., Wickham, H., Cheng, J., Chang, W., Iannone, R., 2019. rmarkdown: dynamic documents for R. R package version 1.14. https://CRAN.R-project.org/package=rmarkdown.

4. Bengtsson, H., 2018. matrixStats: functions that apply to rows and columns of matrices (and to vectors). R package version 0.54.0. https://CRAN.R-project.org/package=matrixStats.

5. Prophecy, reality and uncertainty in distributed hydrological modelling;Beven;Adv. Water Resour.,1993

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