Characteristics of atmospheric temperature in the vicinity of the Hefei area based on Rayleigh lidar
文献类型：期刊论文
| 作者 | Qiu, Feng1,2,3; Wang, Jie4; Yuan, Kee1,2 ; Li, Shenbo1,2,3
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| 刊名 | APPLIED OPTICS
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| 出版日期 | 2024-08-10 |
| 卷号 | 63 |
| ISSN号 | 1559-128X |
| DOI | 10.1364/AO.528019 |
| 通讯作者 | Yuan, Kee(keyuan@aiofm.ac.cn) |
| 英文摘要 | Temperature is an extremely important meteorological parameter in atmospheric research. Accurate measurements of it are of profound significance for studying global greenhouse effects, meteorological forecasting, and other related aspects. Processing and statistical analysis were conducted on the temperature data observed throughout 2021 by the self-developed L1000 Rayleigh lidar. Comparison analyses were subsequently carried out with data from the U.S. Standard Atmosphere Model and satellite observations, revealing good consistency in trend and magnitude between the lidar and both counterparts. Statistical analysis of the time-space evolution characteristics of the atmospheric temperature of the vicinity of the Hefei area was performed at night, in the month, and in the quarter. We found the monthly average atmospheric temperature exhibits a distinct altitudinal structure of time-space change, with the highest temperature being spatially located in the 48-51 km region and the temperature range being 240-272 K. Within the temperature rise range for 20-49 km, temperature profiles across different months also exhibit consistent trends. Temporally, temperatures are lowest in October and highest in August, gradually rising from March to August and declining from August to October, with a slight increase from October to November. Compared to monthly temperature profiles, seasonal temperature profiles exhibit stable variation trends, with the highest temperatures observed in the 49-50 km region, ranging from 251-270 K. Spring, autumn, and winter temperature profiles intertwine, while the summer temperature profile notably surpasses those of the other three seasons, demonstrating a distinct seasonal variation trend. (c) 2024 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved. |
| WOS关键词 | MIDDLE ATMOSPHERE ; PROFILES ; DENSITY |
| 资助项目 | Natural Science Foundation of Anhui Province[2308085MD128] ; Open Project of Advanced Laser Technology Laboratory of Anhui Province[AHL2021ZR01] |
| WOS研究方向 | Optics |
| 语种 | 英语 |
| WOS记录号 | WOS:001295287500017 |
| 出版者 | Optica Publishing Group |
| 资助机构 | Natural Science Foundation of Anhui Province ; Open Project of Advanced Laser Technology Laboratory of Anhui Province |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/136091]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Yuan, Kee |
| 作者单位 | 1.Natl Univ Def Technol, Nanhu Laser Lab, Changsha 410073, Peoples R China 2.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Key Lab Atmospher Opt, Hefei 230031, Peoples R China 3.Univ Sci & Technol China, Sci Isl Branch, Grad Sch, Hefei 230026, Peoples R China 4.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Key Lab Environm Opt & Technol, Hefei 230031, Peoples R China |
| 推荐引用方式 GB/T 7714 | Qiu, Feng,Wang, Jie,Yuan, Kee,et al. Characteristics of atmospheric temperature in the vicinity of the Hefei area based on Rayleigh lidar[J]. APPLIED OPTICS,2024,63. |
| APA | Qiu, Feng,Wang, Jie,Yuan, Kee,&Li, Shenbo.(2024).Characteristics of atmospheric temperature in the vicinity of the Hefei area based on Rayleigh lidar.APPLIED OPTICS,63. |
| MLA | Qiu, Feng,et al."Characteristics of atmospheric temperature in the vicinity of the Hefei area based on Rayleigh lidar".APPLIED OPTICS 63(2024). |
入库方式： OAI收割
来源：合肥物质科学研究院
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