E3SM MMF Paper Among AGU’s Top Downloads
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.
Reference
- 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)