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Remote Sensing of Greenhouse Gases by Combining Lidar and Optical Correlation Spectroscopy

Christophe Anselmo 1 B. Thomas 2 Alain Miffre 1 M. Francis 1 J. P. Cariou 3 Patrick Rairoux 1
1 ILM - Institut Lumière Matière [Villeurbanne]
2 CREST - NOAA Center for Earth System Sciences and Remote Sensing Technologies
3 LEOSPHERE France
Abstract : In this contribution, we present recent work on the ability to achieve range-resolved greenhouse gases concentration measurements in the Earth’s atmosphere (CH4, H2O) by combining broadband optical correlation spectroscopy (OCS) with lidar. We show that OCS-Lidar is a robust methodology, allowing trace gases remote sensing with a low dependence on the temperature and pressure-variation absorption cross section. Moreover, we evaluate, as an experimental proof, the water vapor profile in the planetary boundary layer using the 4ν 720 nm absorption band.
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https://hal-univ-lyon1.archives-ouvertes.fr/hal-02304944
Contributor : Depot 4 Lyon 1 <>
Submitted on : Thursday, October 3, 2019 - 3:51:27 PM
Last modification on : Thursday, October 15, 2020 - 8:54:04 AM

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UNIV-LYON1 | CNRS | ILM | UDL

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Christophe Anselmo, B. Thomas, Alain Miffre, M. Francis, J. P. Cariou, et al.. Remote Sensing of Greenhouse Gases by Combining Lidar and Optical Correlation Spectroscopy. EPJ Web of Conferences, EDP Sciences, 2016, 119, pp.05007. ⟨10.1051/epjconf/201611905007⟩. ⟨hal-02304944⟩

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