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Zaherpour, J., Mount, N., Gosling, S., Dankers, R., Eisner, S., Gerten, D., Liu, X., Masaki, Y., Müller, H., Tang, Q. & Wada, Y. ORCID: https://orcid.org/0000-0003-4770-2539 (2019). Exploring the value of machine learning for weighted multi-model combination of an ensemble of global hydrological models. Environmental Modelling & Software 114, 112-128. 10.1016/j.envsoft.2019.01.003.

Zaherpour, J., Gosling, S.N., Mount, N., Schmied, H.M., Veldkamp, T.I.E., Dankers, R., Eisner, S., Gerten, D., Gudmundsson, L., Haddeland, I., Hanasaki, N., Kim, H., Leng, G., Liu, J., Masaki, Y., Oki, T., Pokhrel, Y., Satoh, Y., Schewe, J. & Wada, Y. ORCID: https://orcid.org/0000-0003-4770-2539 (2018). Worldwide evaluation of mean and extreme runoff from six global-scale hydrological models that account for human impacts. Environmental Research Letters 13 (6), e065015. 10.1088/1748-9326/aac547.