Geometric Factor Correction Algorithm Based on Temperature and Humidity Profile Lidar
文献类型：期刊论文
| 作者 | Zhang, Bowen1,2; Fan, Guangqiang1; Zhang, Tianshu1
|
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2024-08-01 |
| 卷号 | 16 |
| 关键词 | Raman lidar geometric factor correction urban canopy layer atmospheric detection remote sensing |
| DOI | 10.3390/rs16162977 |
| 通讯作者 | Fan, Guangqiang(gqfan@aiofm.ac.cn) |
| 英文摘要 | Due to the influence of geometric factors, the temperature and humidity profile of lidar's near-field signal was warped when sensing the air environment. In order to perform geometric factor correction on near-field signals, this article proposes different correction solutions for the Mie and Raman scattering channels. Here, the Mie scattering channel used the Raman method to invert the aerosol backscatter coefficient and correct the extinction coefficient in the transition zone. The geometric factor was the ratio of the measured signal to the forward-computed vibration Raman scattering signal. The aerosol optical characteristics were reversed using the corrected echo signal, and the US standard atmospheric model was added to the missing signal in the blind zone, reflecting the aerosol evolution process. The stability and dependability of the proposed algorithm were validated by the consistency between the visibility provided by the Environmental Protection Agency and the visibility acquired via lidar retrieval data. The near-field humidity data were supplemented by the interpolation method in the Raman scattering channel to reflect the water vapor transfer process in the temporal dimension. The measured transmittance curve of the filter, the theoretical normalized spectrum, and the sounding data were used to compute the delay geometric factor. The temperature was retrieved and the near-field signal distortion issue was resolved by applying the corrected quotient of the temperature channel. The proposed algorithm exhibited robustness and universality, enhancing the system's detection accuracy compared to the temperature and humidity data constantly recorded by the probes in the meteorological gradient tower, which have a high correlation with the lidar observation data. The comparison between lidar data and instrument monitoring data showed that the proposed algorithm could effectively correct distorted echo signals in the transition zone, which was of great value for promoting the application of lidar in the meteorological monitoring of the urban canopy layer. |
| WOS关键词 | RAMAN ; INVERSION ; BACKSCATTERING ; EXTINCTION ; RETRIEVAL |
| 资助项目 | National Key R&D Program of China ; [2022YFC3700400] ; [2022YFC3704000] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001304664800001 |
| 出版者 | MDPI |
| 资助机构 | National Key R&D Program of China |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/135043]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Fan, Guangqiang |
| 作者单位 | 1.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Key Lab Environm Opt & Technol, Hefei 230031, Peoples R China 2.Univ Sci & Technol China, Sci Isl Branch Grad Sch, Hefei 230026, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Bowen,Fan, Guangqiang,Zhang, Tianshu. Geometric Factor Correction Algorithm Based on Temperature and Humidity Profile Lidar[J]. REMOTE SENSING,2024,16. |
| APA | Zhang, Bowen,Fan, Guangqiang,&Zhang, Tianshu.(2024).Geometric Factor Correction Algorithm Based on Temperature and Humidity Profile Lidar.REMOTE SENSING,16. |
| MLA | Zhang, Bowen,et al."Geometric Factor Correction Algorithm Based on Temperature and Humidity Profile Lidar".REMOTE SENSING 16(2024). |
入库方式： OAI收割
来源：合肥物质科学研究院
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