Articles | Volume 8, issue 4
Geosci. Model Dev., 8, 1259–1273, 2015
Geosci. Model Dev., 8, 1259–1273, 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 et al.


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
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
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.