Temperature dependence of the Rayleigh Brillouin spectrum linewidth in air and nitrogen

Kun Liang, Jiaqi Xu, Peng Zhang, Yuanqing Wang, Qunjie Niu, Li Peng, Bo Zhou*

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

The relation between spontaneous Rayleigh Brillouin (SRB) spectrum linewidth, gas temperature, and pressure are analyzed at the temperature range from 220 to 340 K and the pressure range from 0.1 to 1 bar, covering the stratosphere and troposphere relevant for the Earth’s atmosphere and for atmospheric Lidar missions. Based on the analysis, a model retrieving gas temperature from directly measured linewidth is established and the accuracy limitations are estimated. Furthermore, some experimental data of air and nitrogen are used to verify the accuracy of the model. As the results show, the retrieved temperature shows good agreement with the reference temperature, and the absolute difference is less than 3 K, which indicates that this method provides a fruitful tool in satellite retrieval to extract the gaseous properties of atmospheres on-line by directly measuring the SRB spectrum linewidth.

Original languageEnglish
Article number1503
JournalSensors (Switzerland)
Volume17
Issue number7
DOIs
Publication statusPublished - 1 Jul 2017

Funding

The authors thank Wim Ubachs for provision of experimental data and his extensive, helpful discussions, and the authors thank the Joint research project between China and the Netherlands (grant No. 530-5CDP05); the National Natural Science Foundation of China (grant No. 61108074 and No. 41505027); Open Funding of Jiangsu Key Laboratory of Meteorological Observation and Information Processing (Nanjing University of Information Science and Technology, grant No. KDXS1402, KDXS1501); the Fundamental Research Funds for the Central Universities, HUST: 2015QN075; and China Scholarship Council.

FundersFunder number
National Natural Science Foundation of China61108074, 41505027
China Scholarship Council
Nanjing University of Information Science and TechnologyKDXS1402, KDXS1501
Fundamental Research Funds for the Central Universities2015QN075

    Keywords

    • Atmospheric and oceanic optics
    • Atmospheric scattering
    • Lidar
    • Remote sensing and sensors
    • Scattering measurements

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