A Method for Retrieving Cloud Microphysical Properties Using Combined Measurement of Millimeter-Wave Radar and Lidar
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 ac...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-02-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/3/586 |
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| author | Weiqi Lin Qianshan He Tiantao Cheng Haojun Chen Chao Liu Jie Liu Zhecheng Hong Xinrong Hu Yiyuan Guo |
| author_facet | Weiqi Lin Qianshan He Tiantao Cheng Haojun Chen Chao Liu Jie Liu Zhecheng Hong Xinrong Hu Yiyuan Guo |
| author_sort | Weiqi Lin |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T03:50:02Z |
| format | Article |
| id | doaj.art-a1ef479325534a579a8cf663bd88f42a |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-08T03:50:02Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-a1ef479325534a579a8cf663bd88f42a2024-02-09T15:21:34ZengMDPI AGRemote Sensing2072-42922024-02-0116358610.3390/rs16030586A Method for Retrieving Cloud Microphysical Properties Using Combined Measurement of Millimeter-Wave Radar and LidarWeiqi Lin0Qianshan He1Tiantao Cheng2Haojun Chen3Chao Liu4Jie Liu5Zhecheng Hong6Xinrong Hu7Yiyuan Guo8Department of Atmospheric and Ocean Science, Institute of Atmospheric Science, Fudan University, Shanghai 200433, ChinaShanghai Meteorological Service, Shanghai 200030, ChinaDepartment of Atmospheric and Ocean Science, Institute of Atmospheric Science, Fudan University, Shanghai 200433, ChinaShanghai Meteorological Information and Technology Support Center, Shanghai 200030, ChinaShanghai Meteorological Information and Technology Support Center, Shanghai 200030, ChinaShanghai Meteorological Service, Shanghai 200030, ChinaShanghai Meteorological Service, Shanghai 200030, ChinaShanghai Meteorological Service, Shanghai 200030, ChinaShanghai Meteorological Service, Shanghai 200030, ChinaClouds 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.https://www.mdpi.com/2072-4292/16/3/586cloudcombined retrievalmicrophysical properties |
| spellingShingle | Weiqi Lin Qianshan He Tiantao Cheng Haojun Chen Chao Liu Jie Liu Zhecheng Hong Xinrong Hu Yiyuan Guo A Method for Retrieving Cloud Microphysical Properties Using Combined Measurement of Millimeter-Wave Radar and Lidar Remote Sensing cloud combined retrieval microphysical properties |
| title | A Method for Retrieving Cloud Microphysical Properties Using Combined Measurement of Millimeter-Wave Radar and Lidar |
| title_full | A Method for Retrieving Cloud Microphysical Properties Using Combined Measurement of Millimeter-Wave Radar and Lidar |
| title_fullStr | A Method for Retrieving Cloud Microphysical Properties Using Combined Measurement of Millimeter-Wave Radar and Lidar |
| title_full_unstemmed | A Method for Retrieving Cloud Microphysical Properties Using Combined Measurement of Millimeter-Wave Radar and Lidar |
| title_short | A Method for Retrieving Cloud Microphysical Properties Using Combined Measurement of Millimeter-Wave Radar and Lidar |
| title_sort | method for retrieving cloud microphysical properties using combined measurement of millimeter wave radar and lidar |
| topic | cloud combined retrieval microphysical properties |
| url | https://www.mdpi.com/2072-4292/16/3/586 |
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