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

Software · Mon Oct 06 00:00:00 EDT 2014

OSTI ID:1231949

The software is used to fit models of emission fields (e.g., fossil-fuel CO2 emissions) to sparse measurements of gaseous concentrations. Its primary aim is to provide an implementation and a demonstration for the algorithms and models developed in 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", accepted, Geoscientific Model Development, 2014. The software can be used to estimate emissions of non-reactive gases such as fossil-fuel CO2, methane etc. The software uses a proxy of the emission field being estimated (e.g., for fossil-fuel CO2, a population density map is a good proxy) to construct a wavelet model for the emission field. It then uses a shrinkage regression algorithm called Stagewise Orthogonal Matching Pursuit (StOMP) to fit the wavelet model to concentration measurements, using an atmospheric transport model to relate emission and concentration fields. Algorithmic novelties described in the paper above (1) ensure that the estimated emission fields are non-negative, (2) allow the use of guesses for emission fields to accelerate the estimation processes and (3) ensure that under/overestimates in the guesses do not skew the estimation.

• Short Name / Acronym: SPARSE-MSRF; 003220WKSTN00
• Version: 00
• Programming Language(s): Medium: X; OS: Tested on Linux; Compatibility: Workstation
• Research Organization: Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
• Sponsoring Organization: USDOE
• Contributing Organization: Jaideep Ray and Jina Lee, Sandia National Laboratories, Livermore, CA
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 1231949
• Country of Origin: United States