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A method to determine true air temperature fluctuations in clouds with liquid water fraction and estimate water droplet effect on the calculations of the spectral structure of turbulent heat fluxes in cumulus clouds based on aircraft data

机译:确定基于液态水分数的云中真实空气温度波动并估计水滴对基于飞机数据的积云湍流通量谱结构计算的影响的方法

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摘要

Liquid water droplets could distort aircraft temperature measurements in clouds, leading to errors in calculated heat fluxes and incorrect flux distribution pattern. The estimation of cloud droplet effect on the readings of the high-frequency aircraft thermometer employed at the Central Aerological Observatory (CAO) was based on an experimental study of the sensor in a wind tunnel, using an air flow containing liquid water droplets. Simultaneously, calculations of the distribution of speed and temperature in a flow through the sensitive element of the sensor were fulfilled. This permitted estimating the coefficient of water content effect on temperature readings. Another way of estimating cloud droplet effect was based on the analysis of data obtained during aircraft observations of cumulus clouds in a tropical zone (Cuba Island). As a result, a method of correcting air temperature and recovering true air temperature fluctuations inside clouds was developed. This method has provided consistent patterns of heat flux distribution in a cumulus area. Analysis of the results of aircraft observations of cumulus clouds with temperature correction fulfilled has permitted investigation of the spectral structure of the fields of air temperature and heat fluxes to be performed in cumulus zones based on wavelet transformation. It is shown that mesoscale eddies (over 500 m in length) were the main factor of heat exchange between a cloud and the ambient space. The role of turbulence only consisted in mixing inside the cloud.
机译:液态水滴可能会使飞机在云中的温度测量值失真,从而导致计算出的热通量存在误差,并且通量分布模式不正确。中央航空天文台(CAO)所采用的高频飞机温度计读数对云滴影响的估算是基于风洞中传感器的实验研究,使用的是含有液态水滴的气流。同时,完成了对流经传感器敏感元件的流速和温度分布的计算。这允许估计水分系数对温度读数的影响。估算云滴效应的另一种方法是基于对飞机观测热带地区(古巴岛)积云过程中获得的数据的分析。结果,开发了一种校正空气温度并恢复云内部真实空气温度波动的方法。该方法在积云区域提供了一致的热通量分布模式。分析飞机观测到的积云并完成温度校正后,就可以研究基于小波变换的积云带中的空气温度和热通量场的光谱结构。结果表明,中尺度涡旋(长度超过500 m)是云与周围空间之间进行热交换的主要因素。湍流的作用仅在于在云内部混合。

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