@misc{indiciae1328480604a3,
  title = {Evaluating probabilistic deep learning methods for uncertainty quantification of temperature downscaling},
  author = {Lops, Yannic [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Univ. of California, San Diego, CA (United States). Scripps Inst. of Oceanography] (ORCID:0000000225947845) and Anderson, Gemma J. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000241695553) and Lucas, Donald D. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000246496967) and Chakraborty, Indrasis [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000201328417) and Galea, Daniel [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); MetDesk Limited, Wendover (United Kingdom)] (ORCID:000000016180350X)},
  year = {2025},
  doi = {10.1088/2632-2153/ae281e},
  url = {https://www.osti.gov/biblio/3014594},
  note = {Source identifier: 3014594}
}