E3SM MMF Paper Among AGU’s Top Downloads

  • August 24, 2021
  • Brief,Home Page Feature
  • The journal article Initial Results from the Super-Parameterized E3SM, which describes E3SM’s multi-scale modeling framework (MMF), was among AGU’s top 10% most downloaded papers in 2020. Congratulations to the 12 authors!

    For more information see the Improving Clouds in E3SM with a Multi-Scale Modeling Framework story on E3SM.org, and the paper itself included in the citation below.



    • Hannah, W. M., Jones, C. R., Hillman, B. R., Norman, M. R., Bader, D. C., Taylor, M. A., et al. (2020). Initial Results From the Super-Parameterized E3SM. Journal of Advances in Modeling Earth Systems, 12(1), e2019MS001863. https://doi.org/10.1029/2019MS001863

    Complete List of Authors

    • Walter M. Hannah – Lawrence Livermore National Laboratory (LLNL)
    • Christopher R. Jones – Pacific Northwest National Laboratory (PNNL)
    • Benjamin R. Hillman – Sandia National Laboratories (SNL)
    • Matthew R. Norman – Oak Ridge National Laboratory (ORNL)
    • David C. Bader – Lawrence Livermore National Laboratory (LLNL)
    • Mark A. Taylor – Sandia National Laboratories (SNL)
    • L. Ruby Leung – Pacific Northwest National Laboratory (PNNL)
    • Michael S. Pritchard – University of California, Irvine, CA (UCI)
    • Mark D. Branson – Colorado State University (CSU)
    • Guangxing Lin – Pacific Northwest National Laboratory (PNNL)
    • Kyle G. Pressel – Pacific Northwest National Laboratory (PNNL)
    • Jungmin Lee – Lawrence Livermore National Laboratory (LLNL)
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