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: Rigby, M., Zammit-Mangion, A., Manning, Alistair J., Fraser, P. J., Harth, C. M., Kim, K.-R., Krummel, P. B., Li, S., O'Doherty, Simon, Park, S., Salameh, P. K., Steele, L. P., Weiss, R. F., Ganesan, Anita Lakshmi, Prinn, Ronald G., Muhle, Jens
Other Authors: Massachusetts Institute of Technology. Center for Global Change Science
Format: Article
Language:en_US
Published: Copernicus GmbH 2014
Online Access:http://hdl.handle.net/1721.1/88009
https://orcid.org/0000-0001-5925-3801