气候变化领域集成服务门户(CCPortal): The Large-Eddy Simulation (LES) Atmospheric Radiation Measurement (ARM) Symbiotic Simulation and Observation (LASSO) Activity for Continental Shallow Convection

CCPortal

DOI	10.1175/BAMS-D-19-0065.1
	The Large-Eddy Simulation (LES) Atmospheric Radiation Measurement (ARM) Symbiotic Simulation and Observation (LASSO) Activity for Continental Shallow Convection
	Gustafson W.I.; Jr.; Vogelmann A.M.; Li Z.; Cheng X.; Dumas K.K.; Endo S.; Johnson K.L.; Krishna B.; Fairless T.; Xiao H.
发表日期	2020
ISSN	00030007
起始页码	E462
结束页码	E479
卷号	101 期号:4
英文摘要	The U.S. Department of Energy’s Atmospheric Radiation Measurement (ARM) user facility recently initiated the Large-Eddy Simulation (LES) ARM Symbiotic Simulation and Observation (LASSO) activity focused on shallow convection at ARM’s Southern Great Plains (SGP) atmospheric observatory in Oklahoma. LASSO is designed to overcome an oft-shared difficulty of bridging the gap from point-based measurements to scales relevant for model parameterization development, and it provides an approach to add value to observations through modeling. LASSO is envisioned to be useful to modelers, theoreticians, and observationalists needing information relevant to cloud processes. LASSO does so by combining a suite of observations, LES inputs and outputs, diagnostics, and skill scores into data bundles that are freely available, and by simplifying user access to the data to speed scientific inquiry. The combination of relevant observations with observationally constrained LES output provides detail that gives context to the observations by showing physically consistent connections between processes based on the simulated state. A unique approach for LASSO is the generation of a library of cases for days with shallow convection combined with an ensemble of LES for each case. The library enables researchers to move beyond the single-case-study approach typical of LES research. The ensemble members are produced using a selection of different large-scale forcing sources and spatial scales. Since large-scale forcing is one of the most uncertain aspects of generating the LES, the ensemble informs users about potential uncertainty for each date and increases the probability of having an accurate forcing for each case. © 2020 American Meteorological Society
语种	英语
scopus关键词	ARM processors; Atmospheric radiation; Atmospheric radiation measurements; Case study approach; Ensemble members; Model parameterization; Scientific inquiry; Shallow convection; Southern great plains; U.S. Department of Energy; Large eddy simulation
来源期刊	Bulletin of the American Meteorological Society
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/177909
作者单位	Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, United States; Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, Los Angeles, CA, United States; College of Meteorology and Oceanography, National University of Defense Technology, Changsha, Hunan, China; Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
推荐引用方式 GB/T 7714	Gustafson W.I.,Jr.,Vogelmann A.M.,et al. The Large-Eddy Simulation (LES) Atmospheric Radiation Measurement (ARM) Symbiotic Simulation and Observation (LASSO) Activity for Continental Shallow Convection[J],2020,101(4).
APA	Gustafson W.I..,Jr..,Vogelmann A.M..,Li Z..,Cheng X..,...&Xiao H..(2020).The Large-Eddy Simulation (LES) Atmospheric Radiation Measurement (ARM) Symbiotic Simulation and Observation (LASSO) Activity for Continental Shallow Convection.Bulletin of the American Meteorological Society,101(4).
MLA	Gustafson W.I.,et al."The Large-Eddy Simulation (LES) Atmospheric Radiation Measurement (ARM) Symbiotic Simulation and Observation (LASSO) Activity for Continental Shallow Convection".Bulletin of the American Meteorological Society 101.4(2020).