Articles | Volume 18, issue 12
https://doi.org/10.5194/amt-18-2681-2025
https://doi.org/10.5194/amt-18-2681-2025
Research article
 | 
25 Jun 2025
Research article |  | 25 Jun 2025

Long-term evolution of the calibration constant on a mobile water vapour Raman lidar

Patrick Chazette, Julien Totems, and Frédéric Laly

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Cited articles

Ansmann, A., Riebesell, M., Wandinger, U., Weitkamp, C., Voss, E., Lahmann, W., and Michaelis, W.: Combined raman elastic-backscatter LIDAR for vertical profiling of moisture, aerosol extinction, backscatter, and LIDAR ratio, Appl. Phys. B, 55, 18–28, 1992. 
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Bock, O. and Nuret, M.: Verification of NWP Model Analyses and Radiosonde Humidity Data with GPS Precipitable Water Vapor Estimates during AMMA, in: West African weather prediction and predictability collection, Am. Meteorol. Soc., 24, 1085–1101, https://doi.org/10.1175/2009WAF2222239.1, 2009. 
Bock, O., Bosser, P., Bourcy, T., David, L., Goutail, F., Hoareau, C., Keckhut, P., Legain, D., Pazmino, A., Pelon, J., Pipis, K., Poujol, G., Sarkissian, A., Thom, C., Tournois, G., and Tzanos, D.: Accuracy assessment of water vapour measurements from in situ and remote sensing techniques during the DEMEVAP 2011 campaign at OHP, Atmos. Meas. Tech., 6, 2777–2802, https://doi.org/10.5194/amt-6-2777-2013, 2013. 
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Short summary
The use of active remote sensing instruments to sample the atmospheric environment requires accurate calibration that is stable over time so that measurements are reproducible. This is the case for measurements of atmospheric water vapour using Raman lidar, which are of growing interest in the context of climate risks such as extreme precipitation. This study addresses this issue. It is based on six campaigns spread over a period of 7 years between 2016 and 2022.
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