Source estimation methods for atmospheric dispersion

Atmospheric Environment

Volumn 41, Issue 33, 2007, Pages 6964-6973

  Shankar Rao, K ^a  

^a NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

Author keywords

Adjoint and tangent linear models; Atmospheric transport and dispersion models; Bayesian updating and inference methods; Inverse modeling; Kalman filtering; Variational data assimilation

Indexed keywords

BAYESIAN NETWORKS; DATA ACQUISITION; FLUID DYNAMICS; KALMAN FILTERS; MATHEMATICAL MODELS; MONTE CARLO METHODS; SENSORS; TOXIC MATERIALS;

ATMOSPHERIC TRANSPORT AND DISPERSION MODELS; BAYESIAN UPDATING AND INFERENCE METHODS; VARIATIONAL DATA ASSIMILATION;

AIR POLLUTION;

ATMOSPHERIC MODELING; BAYESIAN ANALYSIS; COMPUTATIONAL FLUID DYNAMICS; DISPERSION; ESTIMATION METHOD; KALMAN FILTER; MARKOV CHAIN; MONTE CARLO ANALYSIS; TOXIC SUBSTANCE; TRANSPORT PROCESS; WIND;

ARTICLE; ATMOSPHERIC DISPERSION; ATMOSPHERIC TRANSPORT; BAYES THEOREM; COMPUTATIONAL FLUID DYNAMICS; DISPERSION; FILTER; MEASUREMENT; MONTE CARLO METHOD; PRIORITY JOURNAL; PROBABILITY; SAMPLING; STATISTICAL MODEL; STOCHASTIC MODEL;

EID: 34748824184     PISSN: 13522310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2007.04.064     Document Type: Article

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