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

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

doi:10.1117/1.JRS.12.046021

13 November 2018 Retrieving homogeneous liquid cloud microphysical properties using multiple-field-of-view lidar

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

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 12, Issue 4, 046021 (November 2018). https://doi.org/10.1117/1.JRS.12.046021

Abstract

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.

Citation Download Citation

Hengheng Zhang, Lingbing Bu, Haiyang Gao, Xingyou Huang, and K. Raghavendra Kumar "Retrieving homogeneous liquid cloud microphysical properties using multiple-field-of-view lidar," Journal of Applied Remote Sensing 12(4), 046021 (13 November 2018). https://doi.org/10.1117/1.JRS.12.046021

Received: 26 April 2018; Accepted: 23 October 2018; Published: 13 November 2018

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