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首页> 外文期刊>Journal of Applied Remote Sensing >Retrieving homogeneous liquid cloud microphysical properties using multiple-field-of-view lidar
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Retrieving homogeneous liquid cloud microphysical properties using multiple-field-of-view lidar

机译:使用多视野激光雷达检索均匀液体云微微物理性质

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Liquid water content (LWC) and cloud droplet effective size (CDES) are important factors affecting atmospheric radiative transfer, and measurement of these parameters in clouds is essential. For homogeneous liquid cloud (constant extinction coefficient) with a gamma size distribution of cloud droplets, we find that LWC and CDES can be retrieved from two parameters obtained from a multiple-field-of-view (MFOV) Lidar: the intercept of the range-corrected Lidar signal (IRCLS) and the slope of the range-corrected Lidar signal (SRCLS) at different sizes of FOV. Monte Carlo simulations reveal that IRCLS at different sizes of FOV varies with both extinction coefficient and CDES while SRCLS varies only with the extinction coefficient, which depends on both LWC and CDES. This means that, after extracting the extinction coefficient using SRCLS, we can easily obtain CDES from IRCLS, and LWC can then be determined using the extinction coefficient. An innovative MFOV Lidar system is constructed to measure the LWC and CDES. A series of experiments is conducted in the northern suburb of Nanjing, China, and the LWC and CDES of homogeneous liquid cloud are obtained. Comparisons among results from the MFOV Lidar, theoretical calculation, and the global precipitation measurement satellite verify our proposed method. (C) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
机译:液体含水量(LWC)和云液滴有效尺寸(CDES)是影响大气辐射转移的重要因素,云中这些参数的测量至关重要。对于具有云液滴的伽马尺寸分布的均匀液体云(恒定消光系数),我们发现LWC和CDES可以从多视野(MFOV)LIDAR获得的两个参数中检索:范围的截距 - 在不同尺寸的FOV中校正的LIDAR信号(IRCL)和范围校正的LIDAR信号(SRCLS)的斜率。 Monte Carlo模拟表明,不同尺寸的FOV的IRCLS随着消光系数和CDES而变化,而SRCLS仅因消光系数而变化,这取决于LWC和CDES。这意味着,在使用Srcls提取消光系数之后,我们可以容易地从IRCL获得CDES,然后可以使用消光系数来确定LWC。构建创新的MFOV激光雷达系统以测量LWC和CDES。在南京,中国北部郊区进行了一系列实验,并获得了均匀液体云的LWC和Cdes。 MFOV LIDAR,理论计算和全球降水测量卫星的结果比较验证了我们所提出的方法。 (c)2018年光学仪表工程师协会(SPIE)

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