Details

Autor(en) / Beteiligte

• Mao, Jiandong
• Dong, Xiangyu
• Zhao, Hu
• Zhou, Chunyan
• Gong, Xin
• Rao, Zhimin
• Wang, Qiang
• Zhang, Yi

Titel

Preliminary results of water cloud and aerosol properties in the Yinchuan area using a Multi-wavelength lidar based on dual field of view

Ist Teil von

• Optics and laser technology, 2022-04, Vol.148, p.107784, Article 107784

Ort / Verlag

Kidlington: Elsevier Ltd

Erscheinungsjahr

2022

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• •A dual field of view Raman lidar is designed to detect the cloud properties.•The effective radius droplets and LWC of cloud were measured.•The lidar system has important significance for artificial rainfall operations. Aerosol-cloud interaction has an extremely important impact on regional and even global climate and environmental change. It is undoubtedly of great scientific significance and research value to study its impact and mechanism on atmospheric radiation balance and climate change. As a active remote sensing, lidar can be employed to study aerosol-cloud interaction. In this paper, A novel multi-wavelength lidar system equipped with a dual field of view device is developed to measure the optical and microphysical parameters of water clouds. The scattered light is detected by the inner and outer field of view, respectively. For verifying the feasibility of the novel lidar system, some preliminary experiments were carried out at North Minzu University (106°06′E, 38°29′N) in the Yinchuan, China. The experiments shows that the novel lidar system can effective detect the optical and microphysical property parameters of water clouds, including extinction coefficient, effective particle radius and liquid water content, with a cloud base height of less than 5 km. Compared with traditional lidar systems that detect optical properties alone, it can use return signals from different fields of view to detect the microphysical properties of warm clouds and thin layered clouds, therefore, it is of great practical significance to develop the cloud water resources efficiently and improve the accuracy of artificial rainfall operations.