Analyzing “grey zone” turbulent kinetic energy predictions in the boundary layer from three WRF PBL schemes over New York City and comparison to aircraft measurements

IF 2.6 3区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Austin P. Hope, Israel Lopez-Coto, K. Hajny, J. Tomlin, R. Kaeser, B. Stirm, A. Karion, P. Shepson
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Abstract

We investigated the ability of three planetary boundary layer (PBL) schemes in the Weather Research and Forecasting (WRF) model to simulate boundary layer turbulence in the “grey zone” (i.e. resolutions from 100 m to 1 km). The three schemes chosen are the well-established MYNN PBL scheme and the two newest PBL schemes added to WRF: the SMS-3DTKE scheme and the EEPS scheme. The SMS-3DTKE scheme is designed to be scale-aware and avoid the double-counting of turbulent kinetic energy (TKE) in simulations within the grey zone. We evaluated their performance using aircraft measurements obtained during three research flights immediately downwind of Manhattan, New York City. The MYNN PBL scheme simulates TKE best, despite not being scale-aware and slightly underestimating TKE from observations, while the SMS-3DTKE scheme appears to be overly scale-aware for the three flights examined, in particular when combined with the MM5 surface layer scheme. The EEPS scheme significantly underestimates TKE, mostly in the elevated layers of the boundary layer. Additionally, we examined the impact of flow over tall buildings on observed TKE and found that only the windiest day showed a significant increase in TKE directly downwind of Manhattan. This impact was, however, not reproduced by any of the model configurations, regardless of the land use data selected, although the better resolved NLCD land use led to a slight improvement of the spatial distribution of TKE, implying that more explicit representation of the impact of tall buildings may be needed to fully capture their impact on boundary layer turbulence.
分析三种 WRF PBL 方案对纽约市上空边界层 "灰色区域 "湍流动能的预测,并与飞机测量结果进行比较
我们研究了天气研究和预报(WRF)模式中三种行星边界层(PBL)方案模拟 "灰色区域"(即分辨率从 100 米到 1 公里)边界层湍流的能力。选择的三个方案是成熟的 MYNN PBL 方案和 WRF 最新加入的两个 PBL 方案:SMS-3DTKE 方案和 EEPS 方案。SMS-3DTKE 方案具有规模感知能力,可避免在灰色区域内的模拟中重复计算湍流动能(TKE)。我们利用紧邻纽约曼哈顿下风方向的三次研究飞行中获得的飞机测量数据对它们的性能进行了评估。MYNN PBL 方案模拟 TKE 的效果最好,尽管它不具备尺度感知能力,而且略微低估了观测数据中的 TKE;而 SMS-3DTKE 方案在所考察的三次飞行中似乎过于具备尺度感知能力,尤其是与 MM5 表层方案相结合时。EEPS 方案大大低估了 TKE,主要是在边界层的高架层。此外,我们还研究了高楼上空的气流对观测到的 TKE 的影响,发现只有风力最大的一天,曼哈顿正下风向的 TKE 出现了显著增加。然而,无论选择哪种土地利用数据,任何模型配置都无法再现这种影响,尽管分辨率更高的 NLCD 土地利用数据略微改善了 TKE 的空间分布,这意味着可能需要更明确地表示高层建筑的影响,以充分捕捉其对边界层湍流的影响。
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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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