Correcting the mathematical structure of a hydrological model via Bayesian data assimilation

Author:

Bulygina Nataliya1,Gupta Hoshin2

Affiliation:

1. Civil and Environmental Engineering Department; Imperial College; London UK

2. Department of Hydrology and Water Resources; University of Arizona; Tucson Arizona USA

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Reference51 articles.

1. Neural error regression analysis (NERD): A tool for model bias identification and prognostic data assimilation;Abramowitz;J. Hydrometeorol.,2006

2. Mixture of Dirichlet processes with application to Bayesian nonparametric problems;Antoniak;Ann. Stat.,1974

3. Toward improved calibration of hydrological models: Combining the strengths of manual and automatic methods;Boyle;Water Resour. Res.,2000

4. Brazil , L. E. 1988 Multilevel calibration strategy for complex hydrologic simulation models Colorado State Univ. Fort Collins

5. Bulygina , N. 2007 Model structure identification and correction through data assimilation Dep. of Hydrol. and Water Resour., Univ. of Ariz. Tucson

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