An Overview of the Atmospheric Component of the Energy Exascale Earth System Model
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 wellâ known Community Atmosphere Model, but it has evolved in new ways, and coding, performance...
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Wiley Periodicals, Inc.
2019
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Online Access: | http://hdl.handle.net/2027.42/151811 https://doi.org/10.1029/2019MS001629 |
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University of Michigan: Deep Blue |
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climate change Earth system atmospheric model climate climate modeling general circulation modeling Geological Sciences Science |
spellingShingle |
climate change Earth system atmospheric model climate climate modeling general circulation modeling Geological Sciences Science 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 |
topic_facet |
climate change Earth system atmospheric model climate climate modeling general circulation modeling Geological Sciences Science |
description |
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 wellâ 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 lightâ 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 groundâ based cloud and aerosol simulators were implemented to facilitate evaluation of clouds, aerosols, and aerosolâ 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 â brute forceâ tune the highâ resolution configurations, so shortâ 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.Plain Language SummaryThis study provides an overview of a new computer model of the Earth’s atmosphere that is used as one component of the Department of Energy’s latest Earth system model. The model can be used to help understand past, present, and ... |
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Article in Journal/Newspaper |
author |
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. |
author_facet |
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. |
author_sort |
Rasch, P. J. |
title |
An Overview of the Atmospheric Component of the Energy Exascale Earth System Model |
title_short |
An Overview of the Atmospheric Component of the Energy Exascale Earth System Model |
title_full |
An Overview of the Atmospheric Component of the Energy Exascale Earth System Model |
title_fullStr |
An Overview of the Atmospheric Component of the Energy Exascale Earth System Model |
title_full_unstemmed |
An Overview of the Atmospheric Component of the Energy Exascale Earth System Model |
title_sort |
overview of the atmospheric component of the energy exascale earth system model |
publisher |
Wiley Periodicals, Inc. |
publishDate |
2019 |
url |
http://hdl.handle.net/2027.42/151811 https://doi.org/10.1029/2019MS001629 |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
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. (2019). "An Overview of the Atmospheric Component of the Energy Exascale Earth System Model." Journal of Advances in Modeling Earth Systems 11(8): 2377-2411. 1942-2466 http://hdl.handle.net/2027.42/151811 doi:10.1029/2019MS001629 Journal of Advances in Modeling Earth Systems Richter, J. H., Solomon, A., & Bacmeister, J. T. ( 2014a ). On the simulation of the quasiâ biennial oscillation in the Community Atmosphere Model, version 5. Journal of Geophysical Research: Atmospheres, 119, 3045 â 3062. https://doi.org/10.1002/2013JD021122 McFarlane, N. A. ( 1987 ). The effect of orographically excited wave drag on the general circulation of the lower stratosphere and troposphere. Journal of the Atmospheric Sciences, 44 ( 14 ), 1775 â 1800. https://doi.org/10.1175/1520â 0469(1987)044<1775:TEOOEG>2.0.CO;2 Mitchell, D. L. ( 2002 ). Effective Diameter in Radiation Transfer: General Deï¬ nition, Applications, and Limitations. Journal of the Atmospheric Sciences, 59, 17. Mlawer, E. J., Taubman, S. J., Brown, P. D., Iacono, M. J., & Clough, S. A. ( 1997 ). Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlatedâ k model for the longwave. Journal of Geophysical Research, 102 ( D14 ), 16,663 â 16,682. https://doi.org/10.1029/97JD00237 Mote, P. W., Holton, J. R., Russell, J. M., & Boville, B. A. ( 1993 ). A comparison of observed (Haloe) and modeled (CCM2) methane and stratospheric water vapor. Geophysical Research Letters, 20 ( 14 ), 1419 â 1422. https://doi.org/10.1029/93GL01764 Neale, R. B., Chen, C. C., Gettelman, A., Lauritzen, P. H., Park, S., Williamson, D. L., Conley, A. J., Kinnison, D., Marsh, D., Smith, A. K., Vitt, F., Garcia, R., Lamarque, J.â F., Mills, M., Tilmes, S., Morrison, H., Cameronâ Smith, P., Collins, W. D., Iacono, M. J., Easter, R. C., Liu, X., Ghan, S. J., Rasch, P. J., & Taylor, M. A. ( 2010 ). Description of the NCAR Community Atmosphere Model: CAM5.0. NCAR Technical Note, Boulder, Colorado, USA: National Center for Atmospheric Research. Neale, R. B., Richter, J., Park, S., Lauritzen, P. H., Vavrus, S. J., Rasch, P. J., & Zhang, M. ( 2013 ). The mean climate of the Community Atmosphere Model (CAM4) in forced SST and fully coupled experiments. Journal of Climate, 26, 5150 â 5168. https://doi.org/10.1175/JCLIâ Dâ 12â 00236.1 Neale, R. B., Richter, J. H., & Jochum, M. ( 2008 ). 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ftumdeepblue:oai:deepblue.lib.umich.edu:2027.42/151811 2023-08-20T04:03:13+02:00 An Overview of the Atmospheric Component of the Energy Exascale Earth System Model 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. 2019-08 application/pdf http://hdl.handle.net/2027.42/151811 https://doi.org/10.1029/2019MS001629 unknown Wiley Periodicals, Inc. Cambridge Univ. Press 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. (2019). "An Overview of the Atmospheric Component of the Energy Exascale Earth System Model." Journal of Advances in Modeling Earth Systems 11(8): 2377-2411. 1942-2466 http://hdl.handle.net/2027.42/151811 doi:10.1029/2019MS001629 Journal of Advances in Modeling Earth Systems Richter, J. H., Solomon, A., & Bacmeister, J. T. ( 2014a ). On the simulation of the quasiâ biennial oscillation in the Community Atmosphere Model, version 5. Journal of Geophysical Research: Atmospheres, 119, 3045 â 3062. https://doi.org/10.1002/2013JD021122 McFarlane, N. A. ( 1987 ). The effect of orographically excited wave drag on the general circulation of the lower stratosphere and troposphere. Journal of the Atmospheric Sciences, 44 ( 14 ), 1775 â 1800. https://doi.org/10.1175/1520â 0469(1987)044<1775:TEOOEG>2.0.CO;2 Mitchell, D. L. ( 2002 ). Effective Diameter in Radiation Transfer: General Deï¬ nition, Applications, and Limitations. Journal of the Atmospheric Sciences, 59, 17. Mlawer, E. J., Taubman, S. J., Brown, P. D., Iacono, M. J., & Clough, S. A. ( 1997 ). Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlatedâ k model for the longwave. Journal of Geophysical Research, 102 ( D14 ), 16,663 â 16,682. https://doi.org/10.1029/97JD00237 Mote, P. W., Holton, J. R., Russell, J. M., & Boville, B. A. ( 1993 ). A comparison of observed (Haloe) and modeled (CCM2) methane and stratospheric water vapor. Geophysical Research Letters, 20 ( 14 ), 1419 â 1422. https://doi.org/10.1029/93GL01764 Neale, R. B., Chen, C. 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J., Qian, Y., Yoon, J.â H., Ma, P.â L., & Vinoj, V. ( 2013 ). Sensitivity of remote aerosol distributions to representation of cloudâ aerosol interactions in a global climate model. Geoscientific Model Development, 6 ( 3 ), 765 â 782. https://doi.org/10.5194/gmdâ 6â 765â 2013 IndexNoFollow climate change Earth system atmospheric model climate climate modeling general circulation modeling Geological Sciences Science Article 2019 ftumdeepblue https://doi.org/10.1029/2019MS00162910.1175/1520â10.1029/2008EO42000410.1038/ngeo158010.1007/978â10.11578/E3SM/dc.20180418.3610.1029/2008JG00071010.1002/jgrd.5017610.5194/acpâ10.1175/JASâ10.1146/annurev.fl.14.010182.00102310.1175/BAMSâ10.1175/1520-0493(20 2023-07-31T20:51:32Z 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 wellâ 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 lightâ 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 groundâ based cloud and aerosol simulators were implemented to facilitate evaluation of clouds, aerosols, and aerosolâ 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 â brute forceâ tune the highâ resolution configurations, so shortâ 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.Plain Language SummaryThis study provides an overview of a new computer model of the Earth’s atmosphere that is used as one component of the Department of Energy’s latest Earth system model. The model can be used to help understand past, present, and ... 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