New Technique to Retrieve Tropospheric Temperature Using Vibrational and Rotational Raman Backscattering

Jia, Suotang; McCormick, M. P.; Lei, Liqiao

doi:10.1029/2019ea000817

Cited by 7 publications

(2 citation statements)

References 14 publications

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“…Temperature is one of the most important state variables of the earth's atmosphere and plays an important role in climatology, meteorology, atmospheric dynamics, and chemistry [1]. The atmosphere can be divided into the troposphere, stratosphere, mesosphere, and thermosphere according to temperature and density.…”

Section: Introductionmentioning

confidence: 99%

Development of a Raman Temperature LiDAR with Low Energy and Small Aperture by Parameter Optimization

Yang

Xian

et al. 2023

Photonics

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The range of detection and accuracy of currently available Raman temperature LiDAR systems are primarily improved by increasing the energy or the aperture of the receiving telescope. However, this does not lead to a corresponding linear increase in the distance of detection and accuracy of the system. In this paper, the authors construct a simulation model and optimize its parameters to develop a Raman temperature LiDAR with low energy and a small aperture that has a maximum distance of detection of over 5 km during the day and over 10 km at night. The profile of the atmospheric temperature obtained through field tests was in good agreement with the results of a radiosonde. The maximum correlation between the Raman temperature LiDAR and the radiosonde was 0.94 at night and 0.81 during the day. The results showed that the proposed Raman temperature LiDAR, with low energy and a small aperture, can provide reliable data on the temperature in the troposphere throughout the day.

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Section: Introductionmentioning

confidence: 99%

Development of a Raman Temperature LiDAR with Low Energy and Small Aperture by Parameter Optimization

Yang

Xian

et al. 2023

Photonics

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“…Su et al compared the Stoke's Q-Branch Raman transition to a PRR line with a high rotational quantum number to determine atmospheric temperature up to a height of 22 km. The technique determined the temperature within a cloud to within 1.5 K of a radiosonde measurement [19].…”

Section: Introductionmentioning

confidence: 99%

Toward Non-Invasive Measurement of Atmospheric Temperature Using Vibro-Rotational Raman Spectra of Diatomic Gases

et al. 2020

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We demonstrate precise determination of atmospheric temperature using vibro-rotational Raman (VRR) spectra of molecular nitrogen and oxygen in the range of 292–293 K. We used a continuous wave fiber laser operating at 10 W near 532 nm as an excitation source in conjunction with a multi-pass cell. First, we show that the approximation that nitrogen and oxygen molecules behave like rigid rotors leads to erroneous derivations of temperature values from VRR spectra. Then, we account for molecular non-rigidity and compare four different methods for the determination of air temperature. Each method requires no temperature calibration. The first method involves fitting the intensity of individual lines within the same branch to their respective transition energies. We also infer temperature by taking ratios of two isolated VRR lines; first from two lines of the same branch, and then one line from the S-branch and one from the O-branch. Finally, we take ratios of groups of lines. Comparing these methods, we found that a precision up to 0.1 K is possible. In the case of O2, a comparison between the different methods show that the inferred temperature was self-consistent to within 1 K. The temperature inferred from N2 differed by as much as 3 K depending on which VRR branch was used. Here we discuss the advantages and disadvantages of each method. Our methods can be extended to the development of instrumentation capable of non-invasive monitoring of gas temperature with broad potential applications, for example, in laboratory, ground-based, or airborne remote sensing.

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Study of Lidar Signals of the Atmospheric Boundary Layer Using Statistical Technique

Mishra

Yellapragada

2023

Mathematics and Computer Science Volume 2

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New Technique to Retrieve Tropospheric Temperature Using Vibrational and Rotational Raman Backscattering

Cited by 7 publications

References 14 publications

Development of a Raman Temperature LiDAR with Low Energy and Small Aperture by Parameter Optimization

Development of a Raman Temperature LiDAR with Low Energy and Small Aperture by Parameter Optimization

Toward Non-Invasive Measurement of Atmospheric Temperature Using Vibro-Rotational Raman Spectra of Diatomic Gases

Study of Lidar Signals of the Atmospheric Boundary Layer Using Statistical Technique

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