Characterization of uncertainties in atmospheric trace gas inversions using hierarchical Bayesian methods

Characterization of uncertainties in atmospheric trace gas inversions using hierarchical Bayesian methods

We present a hierarchical Bayesian method for atmospheric trace gas inversions. This method is used to estimate emissions of trace gases as well as "hyper-parameters" that characterize the probability density functions (PDFs) of the a priori emissions and model-measurement covariances. By...

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Bibliographic Details
Main Authors:	A. L. Ganesan, M. Rigby, A. Zammit-Mangion, A. J. Manning, R. G. Prinn, P. J. Fraser, C. M. Harth, K.-R. Kim, P. B. Krummel, S. Li, J. Mühle, S. J. O'Doherty, S. Park, P. K. Salameh, L. P. Steele, R. F. Weiss
Format:	Article
Language:	English
Published:	Copernicus Publications 2014-04-01
Series:	Atmospheric Chemistry and Physics
Online Access:	http://www.atmos-chem-phys.net/14/3855/2014/acp-14-3855-2014.pdf

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