sparse-msrf: A package for sparse modeling and estimation of fossil-fuel CO2 emission fields

J. Ray and J. Lee

This page is the download page for "sparse-msrf", a MATLAB package used to fit a wavlet-based random field model to measurements of fossil-fuel CO2 concentrations to estimate fossil-fuel emissions.

Acknowledgements

This work was funded by Sandia National Laboratories LDRD (Laboratory Directed Research and Development) program. Sandia National Laboratories is a multiprogram laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the United States Department of Energy’s National Nuclear Security Administration under contract DE-AC04-94AL85000.

License

Copyright 2014, Sandia Corporation. All rights reserved. Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation, the U.S. Government retains certain rights in this software.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
Neither the name of the Sandia Corporation nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.


Releases

Releases are available as a zip file. The software package is distributed under a BSD license. The release comes with examples and a reference manual.

This MATLAB code depends on two public-domain toolkits. Install them first.

  1. SparseLab, version 2.1
  2. WaveLab version 8.50

Step into the new directory created and read the README.txt file. Read the BSD license info in LICENSE.txt if you plan to distribute this software as part of a larger package. Also, read it if you plan to use this in a commercial setting.

Release 1.0

Download the software release. [133 MB].

Download the reference manual.

The theory is described in a Sandia Technical Report.

Publications

  1. J. Ray, V. Yadav, J. Lee, A. M. Michalak, S. Lefantzi, B. van Bloemen Waanders and S. A. McKenna, "A multiresolution spatial parametrization for the estimation of fossil-fuel carbon dioxide emissions via atmospheric inversions", Sandia Technical Report. Printed April 2013. Sandia National Laboratories, Livermore, CA.
  2. J. Ray, V. Yadav, A. M. Michalak, B. van Bloemen Waanders and S. A. McKenna, "A multiresolution spatial parameterization for the estimation of fossil-fuel carbon dioxide emissions via atmospheric inversions", Geoscientific Model Development, 7, 1901-1918, 2014; (doi:10.5194/gmd-7-1901-2014).
  3. J. Ray, J. Lee, V. Yadav, S. Lefantzi, A. M. Michalak and B. van Bloemen Waanders, "A sparse reconstruction method for the estimation of multiresolution emission fields via atmospheric inversion", Geoscientific Model Development Discussions, 7, 5623-5659, 2014. (doi:10.5194/gmdd-7-5623-2014).