How Bayesian data assimilation can be used to estimate the mathematical structure of a model

Stochastic Environmental Research and Risk Assessment

Volumn 24, Issue 6, 2010, Pages 925-937

  Bulygina, Nataliya ^a,b   Gupta, Hoshin ^a  

^a UNIVERSITY OF ARIZONA   (United States)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Bayesian statistics; Data assimilation; Model structure estimation; Uncertainty; Water balance

Indexed keywords

BAYESIAN; BAYESIAN FRAMEWORKS; BAYESIAN STATISTICS; CONCEPTUAL MODEL; DATA ASSIMILATION; DATA ASSIMILATION MODEL; DATA DENSITY; FUNCTIONAL FORMS; HYDROLOGICAL MODELS; INCOMPLETE OBSERVATION; INITIAL CONDITIONS; MAPPING STRUCTURES; MATHEMATICAL FORMS; MATHEMATICAL STRUCTURE; MODEL EQUATIONS; MODEL INPUTS; MODEL PREDICTION; NON-LINEAR; OBSERVED SYSTEMS; OUTPUT MAPPING; PHYSICALLY BASED; PRIOR INFORMATION; PRIOR KNOWLEDGE; STRUCTURE ESTIMATION; UNCERTAIN KNOWLEDGE; WATER BALANCE;

BAYESIAN NETWORKS; DATA PROCESSING; ESTIMATION; MODEL STRUCTURES; PROBABILITY DENSITY FUNCTION; WATER SUPPLY;

MATHEMATICAL MODELS;

ALGORITHM; BAYESIAN ANALYSIS; COMPUTER SIMULATION; DATA ASSIMILATION; ERROR CORRECTION; ESTIMATION METHOD; EVAPOTRANSPIRATION; HYDROLOGICAL MODELING; INPUT-OUTPUT ANALYSIS; NONLINEARITY; NUMERICAL MODEL; PROBABILITY DENSITY FUNCTION; STREAMFLOW; UNCERTAINTY ANALYSIS; WATER BUDGET; WATER STORAGE;

EID: 77954427278     PISSN: 14363240     EISSN: 14363259     Source Type: Journal    
DOI: 10.1007/s00477-010-0387-y     Document Type: Article

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