@misc{indiciae11bbefdc54d1,
  title = {A staged deep learning approach to spatial refinement in 3D temporal atmospheric transport},
  author = {Fernández-Godino, M. Giselle [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000238378661) and Chung, Wai Tong [Stanford Univ., CA (United States)] (ORCID:0000000264474008) and Gowardhan, Akshay A. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] and Ihme, Matthias [Stanford Univ., CA (United States)] and Kong, Qingkai [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] and Lucas, Donald D. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000246496967) and Myers, Stephen C. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)]},
  year = {2025},
  doi = {10.1016/j.aiig.2025.100120},
  url = {https://www.osti.gov/biblio/2585276},
  note = {Source identifier: 2585276}
}