Articles | Volume 11, issue 10
Atmos. Meas. Tech., 11, 5531–5547, 2018
https://doi.org/10.5194/amt-11-5531-2018
Atmos. Meas. Tech., 11, 5531–5547, 2018
https://doi.org/10.5194/amt-11-5531-2018

Research article 10 Oct 2018

Research article | 10 Oct 2018

Lidar temperature series in the middle atmosphere as a reference data set – Part 1: Improved retrievals and a 20-year cross-validation of two co-located French lidars

Robin Wing et al.

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Cited articles

Alpers, M., Eixmann, R., Fricke-Begemann, C., Gerding, M., and Höffner, J.: Temperature lidar measurements from 1 to 105 km altitude using resonance, Rayleigh, and Rotational Raman scattering, Atmos. Chem. Phys., 4, 793–800, https://doi.org/10.5194/acp-4-793-2004, 2004. a, b
Apruzese, J. P., Strobel, D. F., and Schoeberl, M. R.: Parameterization of IR cooling in a Middle Atmosphere Dynamics Model: 2. Non-LTE radiative transfer and the globally averaged temperature of the mesosphere and lower thermosphere, J. Geophys. Res.-Atmos., 89, 4917–4926, https://doi.org/10.1029/JD089iD03p04917, 1984. a
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Donovan, D. P., Whiteway, J. A., and Carswell, A. I.: Correction for nonlinear photon-counting effects in lidar systems, Appl. Opt., 32, 6742–6753, https://doi.org/10.1364/AO.32.006742, 1993. a
Short summary
The objective of this work is to minimize the errors at the highest altitudes of a lidar temperature profile which arise due to background estimation and a priori choice. The systematic method in this paper has the effect of cooling the temperatures at the top of a lidar profile by up to 20 K – bringing them into better agreement with satellite temperatures. Following the description of the algorithm is a 20-year cross-validation of two lidars which establishes the stability of the technique.