@misc{indiciaea8cbd711f0b9,
  title = {Stable Machine‐Learning Parameterization of Subgrid Processes in a Comprehensive Atmospheric Model Learned From Embedded Convection‐Permitting Simulations},
  author = {Hu, Zeyuan [NVIDIA Corporation, Santa Clara, CA (United States); Harvard Univ., Cambridge, MA (United States)] (ORCID:000000032041879X) and Subramaniam, Akshay [NVIDIA Corporation, Santa Clara, CA (United States)] and Kuang, Zhiming [Harvard Univ., Cambridge, MA (United States)] (ORCID:0000000190170350) and Lin, Jerry [Univ. of California, Irvine, CA (United States)] (ORCID:0000000317789426) and Yu, Sungduk [Intel Corporation, Santa Clara, CA (United States). Intel Laboratories] and Hannah, Walter M. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000248111928) and Brenowitz, Noah D. [NVIDIA Corporation, Santa Clara, CA (United States)] (ORCID:0000000186154921) and Romero, Josh [NVIDIA Corporation, Santa Clara, CA (United States)] and Pritchard, Michael S. [NVIDIA Corporation, Santa Clara, CA (United States); Univ. of California, Irvine, CA (United States)] (ORCID:0000000203406327)},
  year = {2025},
  doi = {10.1029/2024ms004618},
  url = {https://www.osti.gov/biblio/2585394},
  note = {Source identifier: 2585394}
}