Articles | Volume 10, issue 9
Atmos. Meas. Tech., 10, 3325–3344, 2017
https://doi.org/10.5194/amt-10-3325-2017

Special issue: HD(CP)2 Observational Prototype Experiment (AMT/ACP...

Atmos. Meas. Tech., 10, 3325–3344, 2017
https://doi.org/10.5194/amt-10-3325-2017
Research article
12 Sep 2017
Research article | 12 Sep 2017

Optimal estimation of water vapour profiles using a combination of Raman lidar and microwave radiometer

Andreas Foth and Bernhard Pospichal

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Cited articles

Adam, M. and Venable, D. D.: Systematic distortions in water vapor mixing ratio and aerosol scattering ratio from a Raman lidar, Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, 6750, 67500S, https://doi.org/10.1117/12.738205, 2007.
Adam, M., Demoz, B. B., Whiteman, D. N., Venable, D. D., Joseph, E., Gambacorta, A., Wei, J., Shephard, M. W., Miloshevich, L. M., Barnet, C. D., Herman, R. L., Fitzgibbon, J., and Connell, R.: Water Vapor Measurements by Howard University Raman Lidar during the WAVES 2006 Campaign, J. Atmos. Ocean. Tech., 27, 42–60, https://doi.org/10.1175/2009JTECHA1331.1, 2010.
Althausen, D., Engelmann, R., Baars, H., Heese, B., Ansmann, A., Müller, D., and Komppula, M.: Portable Raman lidar PollyXT for automated profiling of aerosol backscatter, extinction, and depolarization, J. Atmos. Ocean. Tech., 26, 2366–2378, https://doi.org/10.1175/2009JTECHA1304.1, 2009.
Ansmann, A., Wandinger, U., Riebesell, M., Weitkamp, C., and Michaelis, W.: Independent measurement of extinction and backscatter profiles in cirrus clouds by using a combined Raman elastic-backscatter lidar, Appl. Optics, 31, 7113–7131, https://doi.org/10.1364/AO.31.007113, 1992.
Ansmann, A., Tesche, M., Knippertz, P., Bierwirth, E., Althausen, D., Müller, D., and Schulz, O.: Vertical profiling of convective dust plumes in southern Morocco during SAMUM, Tellus B, 61, 340–353, https://doi.org/10.1111/j.1600-0889.2008.00384.x, 2009.
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Short summary
We present a two-step retrieval that provides a continuous time series of water vapour profiles from ground-based remote sensing in a straightforward way to offer a broad application. The retrieval combines the Raman lidar mass mixing ratio and the microwave radiometer brightness temperature. Its application results in reliable water vapour profiles and error estimates also from within and above a cloud during all non-precipitating conditions.