Achieving Robust and Transferable Performance for Conservation‐Based Models of Dynamical Physical Systems-Reference-Cited by-同舟云学术

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Achieving Robust and Transferable Performance for Conservation‐Based Models of Dynamical Physical Systems

Published:2022-05 Issue:5 Volume:58 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resources Research

Author:

Zheng Feifei¹^ORCID,Chen Junyi¹,Maier Holger R.²^ORCID,Gupta Hoshin³^ORCID

Affiliation:

1. College of Civil Engineering and Architecture Zhejiang University Hangzhou China

2. School of Civil, Environmental and Mining Engineering The University of Adelaide Adelaide SA Australia

3. Department of Hydrology and Atmospheric Sciences The University of Arizona Tucson AZ USA

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021WR031818

Reference54 articles.

1. Evaluation of the transferability of hydrological model parameters for simulations under changed climatic conditions

2. Infinite-Horizon Policy-Gradient Estimation

3. Deep generative stochastic networks trainable by backprop;Bengio Y.;International Conference on Machine Learning,2014

4. Streamflow variability and the role of snowmelt in a marginal snow environment

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