Articles | Volume 12, issue 11
Atmos. Meas. Tech., 12, 5801–5816, 2019
Atmos. Meas. Tech., 12, 5801–5816, 2019

Research article 05 Nov 2019

Research article | 05 Nov 2019

Retrieval of temperature from a multiple channel pure rotational Raman backscatter lidar using an optimal estimation method

Shayamila Mahagammulla Gamage et al.

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Cited articles

Adam, S., Behrendt, A., Schwitalla, T., Hammann, E., and Wulfmeyer, V.: First assimilation of temperature lidar data into an NWP model: impact on the simulation of the temperature field, inversion strength and PBL depth, Q. J. Roy. Meteorol. Soc., 142, 2882–2896, 2016. a
Ansmann, A. and Müller, D.: Lidar and atmospheric aerosol particles, in: Lidar, 105–141, Springer, New York, 2005. a
Ansmann, A., Riebesell, M., Wandinger, U., Weitkamp, C., Voss, E., Lahmann, W., and Michaelis, W.: Combined Raman elastic-backscatter lidar for vertical profiling of moisture, aerosol extinction, backscatter, and lidar ratio, Appl. Phys. B, 55, 18–28, 1992a. a
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. Opt., 31, 7113–7131, 1992b. a
Arshinov, Y. F., Bobrovnikov, S., Zuev, V. E., and Mitev, V.: Atmospheric temperature measurements using a pure rotational Raman lidar, Appl. Opt., 22, 2984–2990, 1983. a
Short summary
We present a new method for retrieving temperature from pure rotational Raman (PRR) lidar measurements using an optimal estimation method. We show that the error due to calibration can be reduced significantly using our method. The new method is tested on PRR temperature measurements from the MeteoSwiss Raman Lidar for Meteorological Observations system in different sky conditions. The next step is to assimilate the temperature profiles into models to help improve weather forecasts.