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...
Main Authors: | , , , , , , , , , , , , , , , |
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Other Authors: | |
Format: | Article |
Language: | en_US |
Published: |
Copernicus GmbH
2014
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Online Access: | http://hdl.handle.net/1721.1/88009 https://orcid.org/0000-0001-5925-3801 |