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Title: 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 » 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.« less

Authors:
ORCiD logo [1];  [2]; ORCiD logo [1]; ORCiD logo [3]; ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [1]; ORCiD logo [4];  [5]; ORCiD logo [6]; ORCiD logo [7]; ORCiD logo [1] more »; ORCiD logo [4]; ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [1]; ORCiD logo [7]; ORCiD logo [5]; ORCiD logo [7]; ORCiD logo [8]; ORCiD logo [5]; ORCiD logo [5]; ORCiD logo [9]; ORCiD logo [10]; ORCiD logo [2]; ORCiD logo [11]; ORCiD logo [4]; ORCiD logo [8]; ORCiD logo [12]; ORCiD logo [2]; ORCiD logo [13]; ORCiD logo [4]; ORCiD logo [1]; ORCiD logo [1] « less
+ Show Author Affiliations
  1. Pacific Northwest National Laboratory Richland WA USA
  2. Lawrence Livermore National Laboratory Livermore CA USA
  3. Brookhaven National Laboratory Upton NY USA
  4. Sandia National Laboratory Albuquerque NM USA
  5. National Center for Atmospheric Research Boulder CO USA
  6. Department of Mathematical SciencesUniversity of Wisconsin‐Milwaukee Milwaukee WI USA
  7. Oak Ridge National Laboratory Oak Ridge TN USA
  8. Argonne National Laboratory Lemont IL USA
  9. Department of Earth System ScienceGwangju Institute of Science and Technology Gwangju South Korea
  10. Department of Climate and Space Sciences and EngineeringUniversity of California Irvine Irvine CA USA
  11. Department of Climate and Space Sciences and EngineeringUniversity of Michigan Ann Arbor MI USA
  12. Lawrence Berkeley National Laboratory Berkeley CA USA
  13. Department of Atmospheric ScienceUniversity of Wyoming Laramie WY USA
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Argonne National Lab. (ANL), Argonne, IL (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER); USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities Division
OSTI Identifier:
1567936
Alternate Identifier(s):
OSTI ID: 1567939; OSTI ID: 1569665; OSTI ID: 1572474; OSTI ID: 1633535; OSTI ID: 1649614; OSTI ID: 1656525
Report Number(s):
LLNL-JRNL-765204; PNNL-SA-144927
Journal ID: ISSN 1942-2466
Grant/Contract Number:  
KP1703020; AC05‐76RL01830; NA0003525; AC52‐07NA27344; AC05‐00OR22725; AC02‐06CH11357; AC02‐05CH11231; AC52-07NA27344; AC02-06CH11357; AC05-76RL01830; AC05-00OR22725; AC02-05CH11231
Resource Type:
Published Article
Journal Name:
Journal of Advances in Modeling Earth Systems
Additional Journal Information:
Journal Name: Journal of Advances in Modeling Earth Systems 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.
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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. https://doi.org/10.1029/2019MS001629
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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. Mon . "An Overview of the Atmospheric Component of the Energy Exascale Earth System Model". United States. https://doi.org/10.1029/2019MS001629.
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@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 = {8}
}
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https://doi.org/10.1029/2019MS001629
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Figures / Tables:

Figure 1 Figure 1: The regionally refined grid configuration for the atmosphere and land over the Continental United States (CONUS) and Tropical West Pacific in EAMvl. The high resolution area has an effective spatial resolution between grid points of 25 km, while the lower resolution area has an effective spatial resolution betweenmore » grid points of 110 km. A transition region bridges these resolutions. The red dot indicates the location of DOE ARM site in the tropics.« less
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Historical (1750–2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS)
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A physically based framework for modeling the organic fractionation of sea spray aerosol from bubble film Langmuir equilibria
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NCAR_Topo (v1.0): NCAR global model topography generation software for unstructured grids
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Radiative forcing by long-lived greenhouse gases: Calculations with the AER radiative transfer models
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On the Correspondence between Mean Forecast Errors and Climate Errors in CMIP5 Models
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Recommendations for diagnosing effective radiative forcing from climate models for CMIP6: RECOMMENDED EFFECTIVE RADIATIVE FORCING
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Using regime analysis to identify the contribution of clouds to surface temperature errors in weather and climate models: Cloud-Regime Analysis and Surface Temperature Errors
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Technical Note: Estimating aerosol effects on cloud radiative forcing
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journal, December 2018

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Processes controlling Southern Ocean shortwave climate feedbacks in CESM: CESM SOUTHERN OCEAN CLIMATE feedbacks
journal, January 2014

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