Report on "A joint reconstruction and model selection approach for large scale inverse problems"

Ian  Enting

 

This paper describes an inversion technique where the regularisation is based by prior predictions from models, with the new feature that

selection of an appropriate subset of models is being selected as part of the inversion.

It defines an appropriate objective function, and a new algorithm for minimising this objective function.

The technique is then illustrated by three synthetic data examples, firstly a signal processing example and then two

inversions of  simulated OCO-2 data.

The paper is generally well written, although there are a few points at which a little more detail might make it easier to read.

It might benefit from a table of notation.

To conclude, this paper is suitable for publication in Geoscientific Model Development. My various comments (in the pdf) should be regarded as suggestions for the authors to consider and the editor to take into account, rather than being prescriptive.

More detailed comments are provided in the pdf file linked to this report.

I see know need to look at any revised version.

My comments on the manuscript are in the attached document.