Articles | Volume 11, issue 11
Atmos. Meas. Tech., 11, 6043–6058, 2018
https://doi.org/10.5194/amt-11-6043-2018
Atmos. Meas. Tech., 11, 6043–6058, 2018
https://doi.org/10.5194/amt-11-6043-2018
Research article
08 Nov 2018
Research article | 08 Nov 2018

Improvements to a long-term Rayleigh-scatter lidar temperature climatology by using an optimal estimation method

Ali Jalali et al.

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Short summary
We use 16 years of lidar (laser radar) temperature measurements of the middle atmosphere to form a climatology for use in studying atmospheric temperature change using an optimal estimation method (OEM). Using OEM allows us to calculate a complete systematic and random uncertainty budget and allows for an additional 10–15 km in altitude for the measurement to be used, improving our ability to detect atmospheric temperature change up to 100 km of altitude.