@misc{indiciaea2ae03929e2a,
  title = {Applying Gaussian Process Machine Learning and Modern Probabilistic Programming to Satellite Data to Infer CO 2 Emissions},
  author = {Jeong, Seongeun [Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)] (ORCID:0000000320320127) and Hamilton, Sofia D. [Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)] and Johnson, Matthew S. [NASA Ames Research Center, Moffett Field, CA (United States)] and Wu, Dien [California Institute of Technology (CalTech), Pasadena, CA (United States)] (ORCID:0000000229155335) and Turner, Alexander J. [University of Washington, Seattle, WA (United States)] and Fischer, Marc L. [Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)] (ORCID:0000000179562361)},
  year = {2025},
  doi = {10.1021/acs.est.4c09395},
  url = {https://www.osti.gov/biblio/2530484},
  note = {Source identifier: 2530484}
}