On Lack of Robustness in Hydrological Model Development Due to Absence of Guidelines for Selecting Calibration and Evaluation Data: Demonstration for Data‐Driven Models-Reference-Cited by-同舟云学术

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

Published:2018-02 Issue:2 Volume:54 Page:1013-1030
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Zheng Feifei¹^ORCID,Maier Holger R.¹²^ORCID,Wu Wenyan²³^ORCID,Dandy Graeme C.²,Gupta Hoshin V.⁴,Zhang Tuqiao¹

Affiliation:

1. College of Civil Engineering and ArchitectureZhejiang UniversityHangzhou Zhejiang China

2. School of Civil, Environmental and Mining EngineeringUniversity of AdelaideAdelaide SA Australia

3. Department of Infrastructure EngineeringMelbourne School of EngineeringUniversity of Melbourne Australia

4. Department of Hydrology and Atmospheric SciencesUniversity of ArizonaTucson AZ USA

Funder

National Natural Science Foundation of China

Australian Research Council

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2017WR021470

Reference67 articles.

1. Prophecy, reality and uncertainty in distributed hydrological modelling

2. Concepts of Information Content and Likelihood in Parameter Calibration for Hydrological Simulation Models

3. Validation of hydrological models: Conceptual basis, methodological approaches and a proposal for a code of practice

4. Data transformation for neural network models in water resources applications

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