气候变化领域集成服务门户(CCPortal): Simulating nuclear cloud rise within a realistic atmosphere using the Weather Research and Forecasting model

CCPortal

DOI	10.1016/j.atmosenv.2021.118363
	Simulating nuclear cloud rise within a realistic atmosphere using the Weather Research and Forecasting model
	Arthur R.S.; Lundquist K.A.; Mirocha J.D.; Neuscamman S.; Kanarska Y.; Nasstrom J.S.
发表日期	2021
ISSN	1352-2310
卷号	254
英文摘要	Models of nuclear detonation cloud rise used by emergency planning and response teams are usually simplified to enable fast run times. They also contain parameters that are tuned to historical nuclear tests. Thus, they do not fully account for the complex environments that may be encountered in emergency scenarios. In this work, a multiscale framework, spanning numerical weather prediction to large-eddy simulation, is used to simulate nuclear cloud rise within the Weather Research and Forecasting (WRF) model. By employing this approach, cloud rise is modeled with higher fidelity, including time-varying three-dimensional weather fields and complexities such as atmospheric moisture and terrain. Using modified initialization routines that allow for the inclusion of a high-temperature fireball in WRF, cloud rise is first simulated for three U.S. nuclear tests over the Nevada desert. Grid nesting is used to dynamically downscale historical reanalysis data to a large-eddy simulation domain, where cloud rise is simulated at 20–30 m resolution. The downscaled atmospheric states agree reasonably well with observations from the time of the tests, and turbulent mixing induced by the cloud rise is captured. Simulated nuclear clouds show good overall agreement with available cloud rise observations, especially for high-air bursts with limited surface interaction. To demonstrate WRF's ability to capture aerosol-microphysics interactions during cloud rise, a semi-idealized large-eddy simulation of the wartime Nagasaki detonation is also performed. Self-induced rainout caused by the condensation of rising moist air during cloud rise is captured, and wet deposition of aerosol particles is quantified. Future work will better account for surface interactions, including particulate lofting and shockwave reflection, which should improve cloud rise predictions. Additional development of a multiscale simulation framework could permit seamless fireball-to-fallout simulations to study the relationship between cloud rise dynamics and fallout risk. © 2021 The Author(s)
关键词	Large-eddy simulation Multiscale simulation Nuclear cloud rise Self-induced rainout Weather Research and Forecasting model
语种	英语
scopus关键词	Aerosols; Atmospheric movements; Detonation; Fallout; Fires; Weather forecasting; Emergency planning; Emergency response; Large-eddy simulations; Multi-scale simulation; Nuclear cloud rise; Nuclear tests; Runtimes; Self-induced rainout; Surface interactions; Weather research and forecasting models; Large eddy simulation; atmospheric dynamics; atmospheric modeling; atmospheric moisture; climate prediction; cloud; condensation; fallout; parameter estimation; research work; simulation; weather forecasting; aerosol; article; atmospheric moisture; desert; fallout; forecasting; high temperature; nesting; Nevada; prediction; simulation; war; weather; wet deposition; Nevada; United States; Spathodea campanulata; Trachinotus falcatus
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/248433
作者单位	Lawrence Livermore National Laboratory, LivermoreCA 94550, United States
推荐引用方式 GB/T 7714	Arthur R.S.,Lundquist K.A.,Mirocha J.D.,et al. Simulating nuclear cloud rise within a realistic atmosphere using the Weather Research and Forecasting model[J],2021,254.
APA	Arthur R.S.,Lundquist K.A.,Mirocha J.D.,Neuscamman S.,Kanarska Y.,&Nasstrom J.S..(2021).Simulating nuclear cloud rise within a realistic atmosphere using the Weather Research and Forecasting model.ATMOSPHERIC ENVIRONMENT,254.
MLA	Arthur R.S.,et al."Simulating nuclear cloud rise within a realistic atmosphere using the Weather Research and Forecasting model".ATMOSPHERIC ENVIRONMENT 254(2021).