Robust calibration method for pure rotational Raman lidar temperature measurement

Hao Chen, Siying Chen, Yinchao Zhang, Pan Guo, He Chen, Binglong Chen

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)21232-21242
Number of pages11
JournalOptics Express
Volume23
Issue number16
DOIs
Publication statusPublished - 10 Aug 2015

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