Paper
24 October 2016 Effect of collisional lines broadening and calibration functions in the pure rotational Raman lidar technique
Vladislav V. Gerasimov, Vladimir V. Zuev
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Abstract
We present and examine two three-coefficient calibration functions to be used for the tropospheric temperature retrievals via the pure rotational Raman (PRR) lidar technique. These functions are the special cases of the general analytical calibration function in the PRR lidar technique. The general function special cases take into account the collisional (pressure) broadening of all individual atmospheric N2 and O2 PRR lines in varying degrees. We apply these two special cases to real lidar remote sensing data and compare nighttime temperature profiles retrieved using these calibration functions to the profiles retrieved using other known ones. The absolute statistical uncertainties of temperature retrieval are also given in an analytical form. Lidar measurements data, obtained in Tomsk (56.48° N, 85.05° E, Western Siberia, Russia) using the IMCES PRR lidar at λ = 354.67 nm on 1 April 2015, were used for the tropospheric temperature retrievals (3–12 km).
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Vladislav V. Gerasimov and Vladimir V. Zuev "Effect of collisional lines broadening and calibration functions in the pure rotational Raman lidar technique", Proc. SPIE 10006, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing XII, 100060J (24 October 2016); https://doi.org/10.1117/12.2241413
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
LIDAR

Calibration

Temperature metrology

Raman spectroscopy

Statistical analysis

Data modeling

Remote sensing

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