The Use of Small Uncrewed Aircraft System Observations in Meteorological and Dispersion Modeling

IF 2.6 3区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
F. Ngan, C. Loughner, S. Zinn, M. Cohen, Temple R. Lee, E. Dumas, Travis J. Schuyler, C. Baker, Joseph Maloney, David G. Hotz, George Mathews
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引用次数: 0

Abstract

A series of meteorological measurements with a small Uncrewed Aircraft System (sUAS) was collected at Oliver Springs Airport, Tennessee. The sUAS provides a unique observing system capable of obtaining vertical profiles of meteorological data within the lowest few hundred meters of the boundary layer. The measurements benefit simulated plume predictions by providing more accurate meteorological data to a dispersion model. The sUAS profiles can be used directly to drive HYSPLIT dispersion simulations. When using sUAS data covering a small domain near a release and meteorological model fields covering a larger domain, simulated pollutants may be artificially increased or decreased near the domain boundary due to inconsistencies in the wind fields between the two meteorological inputs. Numerical experiments using the Weather Research and Forecasting (WRF) model with observational nudging reveal that incorporating sUAS data improves simulated wind fields and can significantly affect mixing characteristics of the boundary layer, especially during the morning transition period of the planetary boundary layer. We conducted HYSPLIT dispersion simulations for hypothetical releases for three case study periods using WRF meteorological fields with and without assimilating sUAS measurements. The comparison of dispersion results on 15 and 16 December 2021 shows that using sUAS observational nudging is more significant under weak synoptic conditions than strong influences from regional weather. Very different dispersion results were introduced by the meteorological fields used. The observational nudging produced not just a sUAS-nudged wind flow but also adjusted meteorological fields that further impacted the mixing calculation in HYSPLIT.
小型无雷达飞机系统观测在气象和散射建模中的应用
在田纳西州的奥利弗·斯普林斯机场,使用小型无人机系统(sUAS)收集了一系列气象测量结果。sUAS提供了一个独特的观测系统,能够获得边界层最低几百米范围内的气象数据的垂直剖面。通过向扩散模型提供更准确的气象数据,这些测量有利于模拟羽流预测。sUAS剖面可以直接用于驱动HYSPLIT色散模拟。当使用覆盖释放附近小域的sUAS数据和覆盖较大域的气象模型场时,由于两个气象输入之间的风场不一致,模拟污染物可能在域边界附近被人为增加或减少。使用天气研究与预测(WRF)模型和观测微调的数值实验表明,结合sUAS数据可以改善模拟风场,并可以显著影响边界层的混合特性,尤其是在行星边界层的早晨过渡期。我们使用WRF气象场,在有和没有同化sUAS测量的情况下,对三个案例研究期间的假设释放进行了HYSPLIT分散模拟。2021年12月15日和16日的分散结果比较表明,在弱天气条件下,使用sUAS观测微调比区域天气的强影响更重要。所使用的气象场引入了非常不同的分散结果。观测推送不仅产生了sUAS推送的气流,还调整了气象场,进一步影响了HYSPLIT中的混合计算。
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来源期刊
Journal of Applied Meteorology and Climatology
Journal of Applied Meteorology and Climatology 地学-气象与大气科学
CiteScore
5.10
自引率
6.70%
发文量
97
审稿时长
3 months
期刊介绍: The Journal of Applied Meteorology and Climatology (JAMC) (ISSN: 1558-8424; eISSN: 1558-8432) publishes applied research on meteorology and climatology. Examples of meteorological research include topics such as weather modification, satellite meteorology, radar meteorology, boundary layer processes, physical meteorology, air pollution meteorology (including dispersion and chemical processes), agricultural and forest meteorology, mountain meteorology, and applied meteorological numerical models. Examples of climatological research include the use of climate information in impact assessments, dynamical and statistical downscaling, seasonal climate forecast applications and verification, climate risk and vulnerability, development of climate monitoring tools, and urban and local climates.
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