atmospheric-inverse-methods-for-flux-optimization - First full release

Contains basic functions for performing an atmospheric flux inversion, together with some utilities to speed that process up.

Includes:

• Yadav and Michalak (2013) Kronecker product operators
• Spectral implementation of homogeneous correlations
• Functions to help generate posterior covariances at coarser resolution

Corresponds to the published version of the JAMES paper.

- Python
Published by DWesl over 5 years ago

atmospheric-inverse-methods-for-flux-optimization - Release-process check

Almost identical to RC3. The big code change is going back to using spectral methods to describe the spatial correlations rather than a dense matrix. All the other changes are in the docs.

- Python
Published by DWesl over 5 years ago

atmospheric-inverse-methods-for-flux-optimization - Code for third subission

Implements suggestions from second round of revisions, mostly more experimental runs for different approximations for the posterior uncertainty.

- Python
Published by DWesl almost 6 years ago

atmospheric-inverse-methods-for-flux-optimization - Second round of revisions

Code as it existed for the second round of revisions.

- Python
Published by DWesl about 6 years ago

atmospheric-inverse-methods-for-flux-optimization - Initial paper submission

Codebase at the time of the initial submission of the first paper.

This should be complete, but there may need to be a last few tweaks before the code and paper are ready.

- Python
Published by DWesl over 6 years ago