A Method for Retrieving Cloud Microphysical Properties Using Combined Measurement of Millimeter-Wave Radar and Lidar

Author:

Lin Weiqi1ORCID,He Qianshan2,Cheng Tiantao13456,Chen Haojun7,Liu Chao7,Liu Jie2,Hong Zhecheng2,Hu Xinrong2,Guo Yiyuan2

Affiliation:

1. Department of Atmospheric and Ocean Science, Institute of Atmospheric Science, Fudan University, Shanghai 200433, China

2. Shanghai Meteorological Service, Shanghai 200030, China

3. Shanghai Key Laboratory of Ocean-Land-Atmosphere Boundary Dynamics and Climate Change, Fudan University, Shanghai 200433, China

4. Shanghai Frontiers Science Center of Atmosphere-Ocean Interaction, Fudan University, Shanghai 200433, China

5. CMA-FDU Joint Laboratory of Marine Meteorology, Fudan University, Shanghai 200438, China

6. Institute of Eco-Chongming (SIEC), Shanghai 202150, China

7. Shanghai Meteorological Information and Technology Support Center, Shanghai 200030, China

Abstract

Clouds are an important component of weather systems and are difficult to effectively characterize using current climate models and estimation of radiative forcing. Due to the limitations in observational capabilities, it remains difficult to obtain high-spatiotemporal-resolution, continuous, and accurate observations of clouds. To overcome this issue, we propose a novel and practical combined retrieval method using millimeter-wave radar and lidar, which enables the microphysical properties of thin liquid water clouds, such as cloud droplet effective radius, number concentration, and liquid water content, to be retrieved. This method was utilized to analyze the clouds observed at the Shanghai World Expo Park and was validated through synchronous observations with a microwave radiometer. Furthermore, the most suitable extinction backscatter ratio was determined through sensitivity analysis. This study provides vertical distributions of cloud microphysical properties with a time resolution of 1 min and a spatial resolution of 30 m, demonstrating the scientific potential of this combined retrieval method.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Science and Technology Planning Program of Xinjiang, China

Publisher

MDPI AG

Reference40 articles.

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