Comment on “An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction” by Newsha K. Ajami et al.-Reference-Cited by-同舟云学术

Comment on “An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction” by Newsha K. Ajami et al.

Published:2009-03 Issue:3 Volume:45 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Renard Benjamin¹²,Kavetski Dmitri¹,Kuczera George¹

Affiliation:

1. School of Engineering; University of Newcastle; Callaghan, New South Wales Australia

2. Cemagref; UR HHLY; Lyon France

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1029/2007WR006538/fullpdf

Reference14 articles.

1. Multimodel combination techniques for analysis of hydrological simulations: Application to Distributed Model Intercomparison Project results;Ajami;J. Hydrometeorol.,2006

2. An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction;Ajami;Water Resour. Res.,2007

3. Bayesian Data Analysis

4. A Bayesian perspective on input uncertainty in model calibration: Application to hydrological model “abc”;Huard;Water Resour. Res.,2006

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