Retrieving homogeneous liquid cloud microphysical properties using multiple-field-of-view lidar

Zhang, Hengheng; Bu, Lingbing; Gao, Haiyang; Huang, Xiaodong; Kumar, K. Raghavendra

doi:10.1117/1.jrs.12.046021

Cited by 1 publication

(1 citation statement)

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“…Ground-based and spaceborne remote sensing techniques have been developed considerably over the past few decades. In remote sensing methods, power spectrum data measured by satellites and radars is used to invert to obtain cloud microphysics parameters [21][22][23][24][25][26][27][28][29][30]. Remote sensing methods have the advantage of detecting high-altitude clouds from a long distance [31,32].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Investigation of Light Scattering and Digital Holographic Imaging to Measure Liquid Phase Cloud Droplets

Zhang,

Wang,

Yang

et al. 2023

Atmosphere

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The measurement of cloud microphysical parameters plays an important role in describing characteristics of liquid phase clouds and investigating mutual relationships between clouds and precipitation. In this paper, cloud microphysical parameters at Liupan Mountain Weather Station in Ningxia are measured with a high-resolution coaxial digital holographic imager and a fog monitor 120. There are differences in the measurement results between the two instruments. The number concentration measured by the digital holographic imager is about 1.5 times that of the fog monitor 120. However, their Pearson correlation coefficient is above 0.9. Through analysis, we found that the measurement results of the digital holographic imager and fog monitor 120 are differences in 2–4 µm and 7–50µm. For the droplets with the diameters of 4–7 µm, their measurement results have good consistency. By analyzing the influence of wind field and detection sensitivity on the measurement principle, the reasons which caused the difference are proposed. Advice is given to observe topographic clouds by using the above two instruments. In addition, the differences in liquid water content and visibility are analyzed due to the absence of small and large droplets. The study provides data support for improving the accuracy of instruments in measuring cloud droplets and is useful for research in the field of cloud microphysical processes.

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