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HESS | Articles | Volume 23, issue 11
Hydrol. Earth Syst. Sci., 23, 4783–4801, 2019
https://doi.org/10.5194/hess-23-4783-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 23, 4783–4801, 2019
https://doi.org/10.5194/hess-23-4783-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 25 Nov 2019

Research article | 25 Nov 2019

A virtual hydrological framework for evaluation of stochastic rainfall models

Bree Bennett et al.

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Cited articles

Andreassian, V., Perrin, C., Michel, C., Usart-Sanchez, I., and Lavabre, J.: Impact of imperfect rainfall knowledge on the efficiency and the parameters of watershed models, J. Hydrol., 250, 206–223, 2001. 
Ang, A. and Tang, W.: Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering (2nd Edition), John Wiley & Sons Inc, Hoboken, New Jersey, USA, ISBN 10 0-471-72064-X, 2007. 
Ball, J. E.: The influence of storm temporal patterns on catchment response, J. Hydrol., 158, 285–303, 1994. 
Baxevani, A. and Lennartsson, J.: A spatiotemporal precipitation generator based on a censored latent Gaussian field, Water Resour. Res., 51, 4338–4358, https://doi.org/10.1002/2014WR016455, 2015. 
Bennett, B., Thyer, M., Leonard, M., Lambert, M., and Bates, B.: A comprehensive and systematic evaluation framework for a parsimonious daily rainfall field model, J. Hydrol., 556, 1123–1138, 2018. 
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A new stochastic rainfall model evaluation framework is introduced, with three key features: (1) streamflow-based, to directly evaluate modelled streamflow performance, (2) virtual, to avoid confounding errors in hydrological models or data, and (3) targeted, to isolate errors according to specific sites/months. The framework identified the importance of rainfall in the wetting-up months for providing reliable predictions of streamflow over the entire year despite their low flow volumes.
A new stochastic rainfall model evaluation framework is introduced, with three key features: (1)...
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