Selection of wavelength bands for ultra-long open-path dual-comb spectroscopy

Dual-comb spectroscopy (DCS) is one of the most promising technologies for ultra-long open-path multiple greenhouse gas detection. Ultra-long open-path DCS has the potential to realize detection configurations, such as horizontal open-path links over hundreds of kilometers and vertical open-path links between satellites and the ground base. Under these extreme detection conditions, identifying an appropriate wavelength band that ensures both technical feasibility and a reasonable absorbance for target components is critical but currently lacks studies. In this work, we simulate transmission spectra under different detection configurations to identify optimal wavelength bands for CO<sub>2</sub> and CH<sub>4</sub> measurement. The simulation results show that the <styled-content style-type="number">1540</styled-content> nm Watt-level high-power frequency combs developed are suitable for CO<sub>2</sub> measurement in both horizontal and vertical ultra-long detection configurations. The results also suggest that developing high-power fiber amplifiers for combs at <styled-content style-type="number">1630</styled-content> nm and <styled-content style-type="number">1636</styled-content> nm will facilitate CH<sub>4</sub> measurement in horizontal and vertical ultra-long detection configurations, respectively. The amplification at <styled-content style-type="number">1636</styled-content> nm will be a future research focus, as it is expected to enable simultaneous measurements of CH<sub>4</sub>, CO<sub>2</sub>, and water vapor in the vertical detection configuration.

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Publication Details

Journal
JUSTC
Published
2025-01-01
DOI
https://doi.org/10.52396/justc-2024-0127
Primary Topic
Advanced Fiber Laser Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Selection of wavelength bands for ultra-long open-path dual-comb spectroscopy

Xianghui Xue, Wei Zhong, Penghao Tian, Jianfei Wu
JUSTC
Advanced Fiber Laser Technologies
article

Selection of wavelength bands for ultra-long open-path dual-comb spectroscopy

Xianghui Xue, Wei Zhong, Penghao Tian, Jianfei Wu
article en

Abstract

Dual-comb spectroscopy (DCS) is one of the most promising technologies for ultra-long open-path multiple greenhouse gas detection. Ultra-long open-path DCS has the potential to realize detection configurations, such as horizontal open-path links over hundreds of kilometers and vertical open-path links between satellites and the ground base. Under these extreme detection conditions, identifying an appropriate wavelength band that ensures both technical feasibility and a reasonable absorbance for target components is critical but currently lacks studies. In this work, we simulate transmission spectra under different detection configurations to identify optimal wavelength bands for CO<sub>2</sub> and CH<sub>4</sub> measurement. The simulation results show that the <styled-content style-type="number">1540</styled-content> nm Watt-level high-power frequency combs developed are suitable for CO<sub>2</sub> measurement in both horizontal and vertical ultra-long detection configurations. The results also suggest that developing high-power fiber amplifiers for combs at <styled-content style-type="number">1630</styled-content> nm and <styled-content style-type="number">1636</styled-content> nm will facilitate CH<sub>4</sub> measurement in horizontal and vertical ultra-long detection configurations, respectively. The amplification at <styled-content style-type="number">1636</styled-content> nm will be a future research focus, as it is expected to enable simultaneous measurements of CH<sub>4</sub>, CO<sub>2</sub>, and water vapor in the vertical detection configuration.

JUSTCVol. 55(8)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 95%
Advanced Fiber Laser Technologies
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Selection of wavelength bands for ultra-long open-path dual-comb spectroscopy — Xianghui Xue, Wei Zhong, et al. · JUSTC (2025) | TGRS Research Map | TGRS