气候变化领域集成服务门户(CCPortal): An Overview of the Atmospheric Component of the Energy Exascale Earth System Model

CCPortal

DOI	10.1029/2019MS001629
	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.
发表日期	2019
ISSN	19422466
起始页码	2377
结束页码	2411
卷号	11 期号:8
英文摘要	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. ©2019. The Authors.
英文关键词	atmospheric model; climate; climate change; climate modeling; Earth system; general circulation modeling
语种	英语
scopus关键词	Aerosols; Climate change; Ice problems; Ozone; Ozone layer; Well testing; Aerosol-cloud interaction; Atmospheric components; Atmospheric model; climate; Community atmosphere model; Earth systems; General circulation model; Horizontal and vertical resolutions; Climate models; aerosol; atmospheric general circulation model; atmospheric modeling; climate change; climate modeling; cloud cover; CMIP; ozone; parameterization; photochemistry; satellite altimetry; snowpack
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156889
作者单位	Pacific Northwest National Laboratory, Richland, WA, United States; Lawrence Livermore National Laboratory, Livermore, CA, United States; Brookhaven National Laboratory, Upton, NY, United States; Sandia National Laboratory, Albuquerque, NM, United States; National Center for Atmospheric Research, Boulder, CO, United States; Department of Mathematical Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, United States; Oak Ridge National Laboratory, Oak Ridge, TN, United States; Argonne National Laboratory, Lemont, IL, United States; Department of Earth System Science, Gwangju Institute of Science and Technology, Gwangju, South Korea; Department of Climate and Space Sciences and Engineering, University of California Irvine, Irvine, CA, United States; Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI, United States; Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Department of Atmospheric Science, University of Wyoming, Laramie, WY, Uni...
推荐引用方式 GB/T 7714	Rasch P.J.,Xie S.,Ma P.-L.,et al. An Overview of the Atmospheric Component of the Energy Exascale Earth System Model[J],2019,11(8).
APA	Rasch P.J..,Xie S..,Ma P.-L..,Lin W..,Wang H..,...&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).
MLA	Rasch P.J.,et al."An Overview of the Atmospheric Component of the Energy Exascale Earth System Model".Journal of Advances in Modeling Earth Systems 11.8(2019).