Open AccessRobust calibration method for pure rotational Raman lidar temperature measurement
Author(s) -
Hao Chen,
Siying Chen,
Yinchao Zhang,
Pan Guo,
He Chen,
Bing-Long Chen
Publication year - 2015
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.23.021232
Subject(s) - lidar , radiosonde , calibration , remote sensing , optics , temperature measurement , raman spectroscopy , materials science , noise (video) , environmental science , signal to noise ratio (imaging) , physics , computer science , geology , quantum mechanics , artificial intelligence , image (mathematics)
A new calibration method for pure rotational Raman lidar temperature measurement is described in this work. The method forms a temperature-dependent term in the intensity ratio, which is calculable with the radiosonde data, and then derives a calibration factor, with which the temperature is retrievable from the lidar return. The method is demonstrated and compared with existing methods through simulations and experiments. Results of the comparison show that the proposed method could provide more accurate calibrations under low signal-to-noise ratio conditions and could thus reduce the lidar performance requirement for temperature retrieval.