Articles | Volume 9, issue 8
Atmos. Meas. Tech., 9, 4079–4101, 2016

Special issue: Twenty-five years of operations of the Network for the Detection...

Atmos. Meas. Tech., 9, 4079–4101, 2016

Research article 25 Aug 2016

Research article | 25 Aug 2016

Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 3: Temperature uncertainty budget

Thierry Leblanc et al.

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Cited articles

Ahmad, Z., McClain, C. R., Herman, J. R., Franz, B. A., Kwiatkowska, E. J., Robinson, W. D., Bucsela, E. J., and Tzortziou, M.: Atmospheric correction for NO2 absorption in retrieving water-leaving reflectances from the SeaWiFS and MODIS measurements, Appl. Opt., 46, 6504–6512, 2007.
Argall, P. S.: Upper altitude limit for Rayleigh lidar, Ann. Geophys., 25, 19–25,, 2007.
Arshinov, Y. F., Bobrovnikov, S. M., Zuev, V. E., and Mitev, V. M.: Atmospheric-temperature measurements using a pure rotational Raman lidar, Appl. Opt., 22, 2984–2990, 1983.
Bates, D. R.: Rayleigh-scattering by air, Planet Space Sci., 32, 785–790,, 1984.
Bauer, R., Rozanov, A., McLinden, C. A., Gordley, L. L., Lotz, W., Russell III, J. M., Walker, K. A., Zawodny, J. M., Ladstätter-Weißenmayer, A., Bovensmann, H., and Burrows, J. P.: Validation of SCIAMACHY limb NO2 profiles using solar occultation measurements, Atmos. Meas. Tech., 5, 1059–1084,, 2012.
Short summary
This article prescribes a standardized approach for the treatment of uncertainty in the backscatter temperature lidar data processing algorithms. The recommendations are designed to be used homogeneously across large atmospheric observation networks such as NDACC, and allow a clear understanding of the uncertainty budget of multiple lidar datasets for a large spectrum of middle atmospheric science applications (e.g., climatology, long-term trends, mesospheric tides, satellite validation).