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Imaging boundary layer roll signatures for climate applications

机译:为气候应用成像边界层滚动特征

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摘要

The planetary boundary layer (PBL) mean flow frequently consists of an organized secondary circulation in the form of counter rotating rolls embedded in the mean flow. Theory predicts this is the case in unstable, neutral and slightly stable stratification and for a range of baroclinic conditions. Although generally associated with the formation of "cloud streets", numerical and theoretical studies suggest that rolls should be present whenever there is sufficient shear to organize the convection, including cloud free conditions. Anecdotal observations from case studies support these numerical and theoretical expectations. However, there exist no studies that can establish the extent and statistical frequency of roll occurrence. The sampling frequency and coverage of satellite data make them an invaluable, and often the only, source of observations on global and regional scales. Among the different types of satellite borne remote sensors the SAR is singular in its ability to detect and quantify the PBL roll signature on the ocean surface. The authors discuss and test the ability of the RADARSAT synthetic aperture radar (SAR) observations to establish boundary layer roll climatology and frequency statistics.
机译:行星边界层(PBL)的平均流通常包含有组织的二次循环,形式为嵌入平均流中的反向旋转辊的形式。理论预测,在不稳定,中性和稍微稳定的分层以及一系列斜压条件下,情况就是如此。尽管通常与“云街”的形成有关,但数值和理论研究表明,只要有足够的剪切力来组织对流,包括无云的条件,都应出现波浪。案例研究中的轶事观察支持了这些数值和理论上的期望。但是,没有研究可以确定侧倾发生的程度和统计频率。卫星数据的采样频率和覆盖范围使它们成为全球和区域规模观测的宝贵资源,而且通常是唯一的来源。在不同类型的星载遥感器中,SAR在检测和量化海洋表面PBL滚转信号方面的能力是独一无二的。作者讨论并测试了RADARSAT合成孔径雷达(SAR)观测资料建立边界层横摇气候学和频率统计数据的能力。

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