Journal article

On Lack of Robustness in Hydrological Model Development Due to Absence of Guidelines for Selecting Calibration and Evaluation Data: Demonstration for Data-Driven Models

Feifei Zheng, Holger R Maier, Wenyan Wu, Graeme C Dandy, Hoshin V Gupta, Tuqiao Zhang

Water Resources Research | AMER GEOPHYSICAL UNION | Published : 2018

University of Melbourne Researchers

Grants

Awarded by National Natural Science Foundation of China


Awarded by Australian Research Council through the Centre of Excellence for Climate System Science


Funding Acknowledgements

Zheng acknowledges funding support from The National Natural Science Foundation of China (grant 51708491), and Gupta acknowledges partial support from the Australian Research Council through the Centre of Excellence for Climate System Science (grant CE110001028). We gratefully appreciate Keith Beven, Saman Razavi, and the other two anonymous reviewers for their constructive comments, which help us to improve the quality of this paper significantly. We also gratefully acknowledge data for the 432 U.S. catchments provided by Thibault Mathevet, which can be also accessed through ftp://hydrology.nws.noaa.gov/pub/gcip/mopex/US_Data/, with details of this data set given in http://www.nws.noaa.gov/ohd/mopex/mo_datasets.htm. Data for the Australian catchments are synthesized based on data given in Chiew et al. (2009) and have been submitted as supporting information.