A Robust Gauss‐Newton Algorithm for the Optimization of Hydrological Models: From Standard Gauss‐Newton to Robust Gauss‐Newton-Reference-Cited by-同舟云学术

A Robust Gauss‐Newton Algorithm for the Optimization of Hydrological Models: From Standard Gauss‐Newton to Robust Gauss‐Newton

Published:2018-11 Issue:11 Volume:54 Page:9655-9683
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Qin Youwei¹²^ORCID,Kavetski Dmitri³^ORCID,Kuczera George²

Affiliation:

1. State Key Laboratory of Hydrology‐Water Resources and Hydraulic Engineering, Centre for Global Change and Water Cycle Hohai University Nanjing China

2. School of Engineering The University of Newcastle Callaghan New South Wales Australia

3. School of Civil, Environmental and Mining Engineering University of Adelaide Adelaide South Australia Australia

Funder

China Scholarship Council

Australian Research Council

National Natural Science Foundation of China

Ministry of Education of the People's Republic of China

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2017WR022488

Reference66 articles.

1. SWAT: Model Use, Calibration, and Validation

2. SWAT2000: current capabilities and research opportunities in applied watershed modelling

3. Comparison of Stochastic Optimization Algorithms in Hydrological Model Calibration

4. A Markov Chain Monte Carlo Scheme for parameter estimation and inference in conceptual rainfall-runoff modeling

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