Closing the Circulation Budget

IF 3.4 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Geophysical Research: Atmospheres Pub Date : 2025-01-27 DOI:10.1029/2024JD041738
F. Morris, C. M. Robinson, M. Reeder, J. Schwendike, D. J. Parker, C. L. Bain, C. J. Short
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Abstract

Circulation budgets can identify physical processes underpinning tropical cyclones, mesoscale convective vortices, and other weather systems where there are interactions across scales. It is unclear, however, how well these budgets close in practice. The present study uses the rapid intensification of Tropical Cyclone Nepartak (2016) as a case study to quantify the practical limitations of calculating circulation budgets using standard reanalyzes and numerical weather model data. First, we evaluate the circulation budget with ERA5. The budget residual can be reduced considerably by including contributions to circulation changes from subgrid-scale momentum transports, and reduced further with 24-hr smoothing, which dampens the discontinuous effects of data assimilation. Second, using a high-resolution Met Office Unified Model simulation, we examine how the choice of the path used (the domain boundary) affects the budget closure. Third, the truncation errors associated with numerical differentiation in time and space are investigated. The circulation budget improves as the model data are analyzed with more frequent time output intervals, and as the output grid spacing decreases. For the tropical convective examples evaluated here, the column mean budget residuals increase by up to 50% as the output intervals increase from 5 min to 3 hr. Errors also increase if the data are regridded to a coarser horizontal grid spacing and when convection straddles the domain boundary. A key result is that the circulation budget need not close for physical inferences made about the circulation and its evolution to be meaningful, thus validating the use of the technique in prior studies.

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关闭流通预算
环流预算可以识别支撑热带气旋、中尺度对流涡旋和其他有跨尺度相互作用的天气系统的物理过程。然而,目前尚不清楚这些预算在实践中有多接近。本研究以热带气旋尼伯特(2016)的快速增强为例,量化了使用标准再分析和数值天气模式数据计算环流预算的实际局限性。首先,我们用ERA5对流通预算进行评估。通过考虑亚网格尺度动量传输对环流变化的贡献,预算残差可以大大减少,并通过24小时平滑进一步减少,这抑制了数据同化的不连续效应。其次,使用高分辨率的Met Office统一模型模拟,我们研究了所使用路径的选择(域边界)如何影响预算关闭。第三,研究了数值微分在时间和空间上的截断误差。随着模型数据分析时间输出间隔的增加和输出网格间距的减小,循环预算得到改善。对于这里评估的热带对流例子,随着输出间隔从5分钟增加到3小时,列平均预算残差增加高达50%。如果将数据重新划分为较粗的水平网格间距,以及对流跨越域边界时,误差也会增加。一个关键的结果是,流通预算不需要接近对流通及其演变的物理推断是有意义的,从而验证了该技术在先前研究中的使用。
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来源期刊
Journal of Geophysical Research: Atmospheres
Journal of Geophysical Research: Atmospheres Earth and Planetary Sciences-Geophysics
CiteScore
7.30
自引率
11.40%
发文量
684
期刊介绍: JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.
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