Articles | Volume 8, issue 4
https://doi.org/10.5194/gmd-8-1259-2015
https://doi.org/10.5194/gmd-8-1259-2015
Development and technical paper
 | 
29 Apr 2015
Development and technical paper |  | 29 Apr 2015

A sparse reconstruction method for the estimation of multi-resolution emission fields via atmospheric inversion

J. Ray, J. Lee, V. Yadav, S. Lefantzi, A. M. Michalak, and B. van Bloemen Waanders

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AR by Jaideep Ray on behalf of the Authors (07 Mar 2015)  Author's response   Manuscript 
ED: Publish subject to technical corrections (07 Apr 2015) by Andrea Stenke
AR by Jaideep Ray on behalf of the Authors (07 Apr 2015)  Manuscript 
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Short summary
The paper presents a statistical method (shrinkage) that can be used to estimate rough emission fields, e.g., fossil fuel CO2 emissions, from measurements of concentrations. This method is demonstrated in a test case where the emissions are modeled using wavelets. We find that the method can eliminate unnecessary complexity from the wavelet model, ensures non-negativity of the emissions, is computationally efficient and is, by construction, insensitive to prior guesses of the total emission.