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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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AMT | Articles | Volume 12, issue 11
Atmos. Meas. Tech., 12, 5801–5816, 2019
https://doi.org/10.5194/amt-12-5801-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 12, 5801–5816, 2019
https://doi.org/10.5194/amt-12-5801-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

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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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Robert Sica on behalf of the Authors (30 Sep 2019)  Author's response    Manuscript
ED: Publish subject to technical corrections (04 Oct 2019) by Gerd Baumgarten
AR by Robert Sica on behalf of the Authors (04 Oct 2019)  Author's response    Manuscript

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Robert Sica on behalf of the Authors (30 Oct 2019)   Author's adjustment   Manuscript
EA: Adjustments approved (31 Oct 2019) by Gerd Baumgarten
Publications Copernicus
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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.
We present a new method for retrieving temperature from pure rotational Raman (PRR) lidar...
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