中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Simulation of atmospheric density detection by spaceborne Rayleigh lidar

文献类型:期刊论文

作者Wang, Jingsong3,4; Liu, Dong1,4; Li, Cheng1,4; Ji, Jie3,4; Deng, Qian1,4; Xie, Wanyi2; Bai, Tongzheng2; Wu, Decheng1,4
刊名ATMOSPHERIC ENVIRONMENT
出版日期2024-09-15
卷号333
关键词Spaceborne lidar Near space Rayleigh scattering Atmospheric density
ISSN号1352-2310
DOI10.1016/j.atmosenv.2024.120659
通讯作者Liu, Dong(dliu@aiofm.cas.cn)
英文摘要Atmospheric density is one of the most important elements of the atmospheric environment. The accurate acquisition of atmospheric density in the near space plays a vital role in understanding atmospheric environment changes and aerospace operations. Spaceborne lidar, as an active observation method, has the advantages of high precision and all-time detection and is a unique payload for obtaining global atmospheric density. To promote the development of a spaceborne Rayleigh lidar payload, the key parameters of the payload need to be designed and optimized, and the detection performance needs to be simulated. In this paper, based on the atmospheric model, lidar equation, and load design parameters, the performance of spaceborne Rayleigh lidar for atmospheric density detection is simulated, and the atmospheric density of the global reference altitude obtained from ERA-5 reanalysis data to conduct simulation analysis of the atmospheric density of the global near space. The results show that the detection height ranges of night and day are 30-70 km and 30-40 km, respectively, and the detection accuracy is better than 10 %. Moreover, the distribution characteristics of the atmospheric density in the global near space with the change of altitude, season, latitude, and longitude are given. Finally, the feasibility of the proposed algorithm was verified by comparing it with the atmospheric density of TIMED/SABER and NRLMSIS-00 models. It provides a reference for the development of spaceborne Rayleigh lidar and global atmospheric density inversion.
WOS关键词GPS RADIO OCCULTATION ; VALIDATION ; GRAVITY ; NOISE ; CLOUD ; OPTIMIZATION ; MISSION ; WAVES ; GNOS
资助项目Payload Prototype Module Development[E33D0H37] ; Hefei Research Institute President Fund Talent Cultivation Project[BJPY2021A03]
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:001259088900001
出版者PERGAMON-ELSEVIER SCIENCE LTD
资助机构Payload Prototype Module Development ; Hefei Research Institute President Fund Talent Cultivation Project
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/136759]  
专题中国科学院合肥物质科学研究院
通讯作者Liu, Dong
作者单位1.Natl Univ Def Technol, Nanhu Laser Lab, Changsha 410073, Hunan, Peoples R China
2.Jianghuai Adv Technol Ctr, Hefei 230000, Peoples R China
3.Univ Sci & Technol China, Grad Sch, Sci Isl Branch, Hefei 230026, Peoples R China
4.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Key Lab Atmospher Opt, Hefei 230031, Peoples R China
推荐引用方式
GB/T 7714
Wang, Jingsong,Liu, Dong,Li, Cheng,et al. Simulation of atmospheric density detection by spaceborne Rayleigh lidar[J]. ATMOSPHERIC ENVIRONMENT,2024,333.
APA Wang, Jingsong.,Liu, Dong.,Li, Cheng.,Ji, Jie.,Deng, Qian.,...&Wu, Decheng.(2024).Simulation of atmospheric density detection by spaceborne Rayleigh lidar.ATMOSPHERIC ENVIRONMENT,333.
MLA Wang, Jingsong,et al."Simulation of atmospheric density detection by spaceborne Rayleigh lidar".ATMOSPHERIC ENVIRONMENT 333(2024).

入库方式: OAI收割

来源:合肥物质科学研究院

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