An Overview of the Atmospheric Component of the Energy Exascale Earth System Model
Abstract
The Energy Exascale Earth System Model Atmosphere Model version 1, the atmospheric component of the Department of Energy's Energy Exascale Earth System Model is described. The model began as a fork of the well-known Community Atmosphere Model, but it has evolved in new ways, and coding, performance, resolution, physical processes (primarily cloud and aerosols formulations), testing and development procedures now differ significantly. Vertical resolution was increased (from 30 to 72 layers), and the model top extended to 60 km (~0.1 hPa). A simple ozone photochemistry predicts stratospheric ozone, and the model now supports increased and more realistic variability in the upper troposphere and stratosphere. An optional improved treatment of light-absorbing particle deposition to snowpack and ice is available, and stronger connections with Earth system biogeochemistry can be used for some science problems. Satellite and ground-based cloud and aerosol simulators were implemented to facilitate evaluation of clouds, aerosols, and aerosol-cloud interactions. Higher horizontal and vertical resolution, increased complexity, and more predicted and transported variables have increased the model computational cost and changed the simulations considerably. These changes required development of alternate strategies for tuning and evaluation as it was not feasible to “brute force” tune the high-resolution configurations, so short-term hindcasts,more »
- Authors:
- more »
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Brookhaven National Lab. (BNL), Upton, NY (United States)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- National Center for Atmospheric Research, Boulder, CO (United States)
- Univ. of Wisconsin‐Milwaukee, Milwaukee, WI (United States). Dept. of Mathematical Sciences
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Argonne National Lab. (ANL), Lemont, IL (United States)
- Gwangju Inst. of Science and Technology, Gwangju (South Korea). Dept. of Earth System Science
- Univ. of California, Irvine, CA (United States). Dept. of Climate and Space Sciences and Engineering
- Univ. of Michigan, Ann Arbor, MI (United States). Dept. of Climate and Space Sciences and Engineering
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Univ. of Wyoming, Laramie, WY (United States). Dept. of Atmospheric Science
- Publication Date:
- Research Org.:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Argonne National Lab. (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
- OSTI Identifier:
- 1567936
- Alternate Identifier(s):
- OSTI ID: 1567939; OSTI ID: 1569665; OSTI ID: 1572474
- Report Number(s):
- LLNL-JRNL-765204
Journal ID: ISSN 1942-2466; 955346
- Grant/Contract Number:
- AC52-07NA27344; KP1703020; AC05‐76RL01830; NA0003525; AC52‐07NA27344; AC05‐00OR22725; AC02‐06CH11357; AC02‐05CH11231; AC02-06CH11357
- Resource Type:
- Published Article
- Journal Name:
- Journal of Advances in Modeling Earth Systems
- Additional Journal Information:
- Journal Volume: 11; Journal Issue: 8; Journal ID: ISSN 1942-2466
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; climate; climate modeling; Earth system; general circulation modeling; atmospheric model; climate change
Citation Formats
Rasch, P. J., Xie, S., Ma, P. ‐L., Lin, W., Wang, H., Tang, Q., Burrows, S. M., Caldwell, P., Zhang, K., Easter, R. C., Cameron‐Smith, P., Singh, B., Wan, H., Golaz, J. ‐C., Harrop, B. E., Roesler, E., Bacmeister, J., Larson, V. E., Evans, K. J., Qian, Y., Taylor, M., Leung, L. R., Zhang, Y., Brent, L., Branstetter, M., Hannay, C., Mahajan, S., Mametjanov, A., Neale, R., Richter, J. H., Yoon, J. ‐H., Zender, C. S., Bader, D., Flanner, M., Foucar, J. G., Jacob, R., Keen, N., Klein, S. A., Liu, X., Salinger, A. G., Shrivastava, M., and Yang, Y. An Overview of the Atmospheric Component of the Energy Exascale Earth System Model. United States: N. p., 2019.
Web. doi:10.1029/2019MS001629.
Rasch, P. J., Xie, S., Ma, P. ‐L., Lin, W., Wang, H., Tang, Q., Burrows, S. M., Caldwell, P., Zhang, K., Easter, R. C., Cameron‐Smith, P., Singh, B., Wan, H., Golaz, J. ‐C., Harrop, B. E., Roesler, E., Bacmeister, J., Larson, V. E., Evans, K. J., Qian, Y., Taylor, M., Leung, L. R., Zhang, Y., Brent, L., Branstetter, M., Hannay, C., Mahajan, S., Mametjanov, A., Neale, R., Richter, J. H., Yoon, J. ‐H., Zender, C. S., Bader, D., Flanner, M., Foucar, J. G., Jacob, R., Keen, N., Klein, S. A., Liu, X., Salinger, A. G., Shrivastava, M., & Yang, Y. An Overview of the Atmospheric Component of the Energy Exascale Earth System Model. United States. doi:10.1029/2019MS001629.
Rasch, P. J., Xie, S., Ma, P. ‐L., Lin, W., Wang, H., Tang, Q., Burrows, S. M., Caldwell, P., Zhang, K., Easter, R. C., Cameron‐Smith, P., Singh, B., Wan, H., Golaz, J. ‐C., Harrop, B. E., Roesler, E., Bacmeister, J., Larson, V. E., Evans, K. J., Qian, Y., Taylor, M., Leung, L. R., Zhang, Y., Brent, L., Branstetter, M., Hannay, C., Mahajan, S., Mametjanov, A., Neale, R., Richter, J. H., Yoon, J. ‐H., Zender, C. S., Bader, D., Flanner, M., Foucar, J. G., Jacob, R., Keen, N., Klein, S. A., Liu, X., Salinger, A. G., Shrivastava, M., and Yang, Y. Tue .
"An Overview of the Atmospheric Component of the Energy Exascale Earth System Model". United States. doi:10.1029/2019MS001629.
@article{osti_1567936,
title = {An Overview of the Atmospheric Component of the Energy Exascale Earth System Model},
author = {Rasch, P. J. and Xie, S. and Ma, P. ‐L. and Lin, W. and Wang, H. and Tang, Q. and Burrows, S. M. and Caldwell, P. and Zhang, K. and Easter, R. C. and Cameron‐Smith, P. and Singh, B. and Wan, H. and Golaz, J. ‐C. and Harrop, B. E. and Roesler, E. and Bacmeister, J. and Larson, V. E. and Evans, K. J. and Qian, Y. and Taylor, M. and Leung, L. R. and Zhang, Y. and Brent, L. and Branstetter, M. and Hannay, C. and Mahajan, S. and Mametjanov, A. and Neale, R. and Richter, J. H. and Yoon, J. ‐H. and Zender, C. S. and Bader, D. and Flanner, M. and Foucar, J. G. and Jacob, R. and Keen, N. and Klein, S. A. and Liu, X. and Salinger, A. G. and Shrivastava, M. and Yang, Y.},
abstractNote = {The Energy Exascale Earth System Model Atmosphere Model version 1, the atmospheric component of the Department of Energy's Energy Exascale Earth System Model is described. The model began as a fork of the well-known Community Atmosphere Model, but it has evolved in new ways, and coding, performance, resolution, physical processes (primarily cloud and aerosols formulations), testing and development procedures now differ significantly. Vertical resolution was increased (from 30 to 72 layers), and the model top extended to 60 km (~0.1 hPa). A simple ozone photochemistry predicts stratospheric ozone, and the model now supports increased and more realistic variability in the upper troposphere and stratosphere. An optional improved treatment of light-absorbing particle deposition to snowpack and ice is available, and stronger connections with Earth system biogeochemistry can be used for some science problems. Satellite and ground-based cloud and aerosol simulators were implemented to facilitate evaluation of clouds, aerosols, and aerosol-cloud interactions. Higher horizontal and vertical resolution, increased complexity, and more predicted and transported variables have increased the model computational cost and changed the simulations considerably. These changes required development of alternate strategies for tuning and evaluation as it was not feasible to “brute force” tune the high-resolution configurations, so short-term hindcasts, perturbed parameter ensemble simulations, and regionally refined simulations provided guidance on tuning and parameterization sensitivity to higher resolution. A brief overview of the model and model climate is provided. Model fidelity has generally improved compared to its predecessors and the CMIP5 generation of climate models.},
doi = {10.1029/2019MS001629},
journal = {Journal of Advances in Modeling Earth Systems},
number = 8,
volume = 11,
place = {United States},
year = {2019},
month = {7}
}
DOI: 10.1029/2019MS001629
Web of Science
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