Articles | Volume 18, issue 19
https://doi.org/10.5194/amt-18-4923-2025
https://doi.org/10.5194/amt-18-4923-2025
Research article
 | 
30 Sep 2025
Research article |  | 30 Sep 2025

The ATMONSYS water vapor DIAL: advanced measurements of short-term variability in the planetary boundary layer

Johannes Speidel, Hannes Vogelmann, Andreas Behrendt, Diego Lange, Matthias Mauder, Jens Reichardt, and Kevin Wolz

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This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
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Cited articles

Ansmann, A.: Errors in ground-based water-vapor DIAL measurements due to Doppler-broadened Rayleigh backscattering, Appl. Optics, 24, 3476–3480, https://doi.org/10.1364/AO.24.003476, 1985. a
Ansmann, A. and Bosenberg, J.: Correction scheme for spectral broadening by Rayleigh scattering in differential absorption lidar measurements of water vapor in the troposphere, Appl. Optics, 26, 3026–3032, https://doi.org/10.1364/AO.26.003026, 1987. a
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Bailén, F. J., Suárez, D. O., and Iniesta, J. C. d. T.: On Fabry Pérot etalon based instruments. I. The isotropic case, Astrophys. J. Suppl. S., 241, 9, https://doi.org/10.3847/1538-4365/aafdb3, 2019. a
Behrendt, A., Wulfmeyer, V., Bauer, H.-S., Schaberl, T., Girolamo, P. D., Summa, D., Kiemle, C., Ehret, G., Whiteman, D. N., Demoz, B. B., Browell, E. V., Ismail, S., Ferrare, R., Kooi, S., and Wang, J.: Intercomparison of water vapor data measured with lidar during IHOP_2002. Part I: Airborne to ground-based lidar systems and comparisons with chilled-mirror hygrometer radiosondes, J. Atmos. Ocean. Tech., 24, 3–21, https://doi.org/10.1175/JTECH1924.1, 2007a. a
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Short summary
Humidity transport from the Earth's surface into the atmosphere is relevant for many processes. However, knowledge of the actual distribution of humidity concentrations is sparse – mainly due to technological limitations. With the lidar presented herein, it is possible to measure humidity concentrations and their vertical fluxes up to altitudes of > 3 km with high spatiotemporal resolution, opening new possibilities for detailed process understanding and, ultimately, better model representation.
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