Articles | Volume 12, issue 7
Atmos. Meas. Tech., 12, 4131–4147, 2019
https://doi.org/10.5194/amt-12-4131-2019
Atmos. Meas. Tech., 12, 4131–4147, 2019
https://doi.org/10.5194/amt-12-4131-2019

Research article 30 Jul 2019

Research article | 30 Jul 2019

A robust automated technique for operational calibration of ceilometers using the integrated backscatter from totally attenuating liquid clouds

Emma Hopkin et al.

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Cited articles

Brown, P. R. and Francis, P. N.: Improved measurements of the ice water content in cirrus using a total-water probe, J. Atmos. Ocean. Tech., 12, 410–414, 1995. 
Cossu, F., Hocke, K., Martynov, A., Martius, O., and Mätzler, C.: Atmospheric water parameters measured by a ground-based microwave radiometer and compared with the WRF model, Atmos. Sci. Lett., 16, 465–472, 2015. 
Dupont, J. C., Haeffelin, M., Protat, A., Bouniol, D., Boyouk, N., and Morille, Y.: Stratus–Fog Formation and Dissipation: A 6-Day Case Study, Bound.-Lay. Meteorol., 143, 207–225, 2012. 
Hervo, M., Poltera, Y., and Haefele, A.: An empirical method to correct for temperature-dependent variations in the overlap function of CHM15k ceilometers, Atmos. Meas. Tech., 9, 2947–2959, https://doi.org/10.5194/amt-9-2947-2016, 2016. 
Hogan, R. J.: Fast, approximate calculation of multiply scattered lidar returns, Appl. Optics, 45, 5984–5992, 2006. 
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Short summary
Ceilometers are laser cloud base recorders which retrieve information about atmospheric aerosol and differing cloud types. In order to ensure the information retrieved from the ceilometer is correct and comparable with other ceilometers in an observation network, a calibration is needed. Presented here is a novel automated calibration method, which includes a correction for the effects of water vapour in the atmosphere and shows its application on the UK Met Office's ceilometer network.