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A Combined Rotational Raman–Rayleigh Lidar for Atmospheric Temperature Measurements Over 5–80 km With Self-Calibration.

Authors :
Li, Yajuan
Lin, Xin
Song, Shalei
Yang, Yong
Cheng, Xuewu
Chen, Zhenwei
Liu, Linmei
Xia, Yuan
Xiong, Jun
Gong, Shunsheng
Li, Faquan
Source :
IEEE Transactions on Geoscience & Remote Sensing. Dec2016, Vol. 54 Issue 12, p7055-7065. 11p.
Publication Year :
2016

Abstract

A combined lidar system on the basis of conventional Rayleigh lidar has been extended by two rotational Raman (RR) channels for nocturnal atmospheric temperature measurements from 5 to 80 km over Wuhan, China (30.5°N, 114.5°E). An overlapping altitude range of about 10 km is obtained with the RR-technique temperatures reaching upward to 40 km and the Rayleigh-integration-technique temperatures above 30 km. Temperature values obtained by two different mechanisms match nicely in the overlapping area. By using a data-merge method, complete temperature profiles covering widely from 5 to 80 km are obtained for the observation of the thermal structure and perturbations from the troposphere up to the mesosphere. Based on the overlapping-region (30–40 km) data obtained from this combined RR–Rayleigh lidar system and Rayleigh-integration-technique temperatures initialized with model data at an upper height (90 km), we develop a self-calibration method for the determination of the system-dependent constants for RR temperature retrieval. Compared with the conventional radiosonde calibration method, the self-calibration obtained in the overlap region of both lidar temperature measurement techniques can be extrapolated to the lower temperatures in the tropopause region by using the simpler two-constant calibration function. With this new calibration method, the combined lidar system can perform independent and accurate atmospheric temperature measurements when a coincident (in time and space) radiosonde is not available, as it is often the case. This combined RR–Rayleigh lidar thus has the potential for long-term studies of atmospheric thermal structure and associate perturbations. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
01962892
Volume :
54
Issue :
12
Database :
Academic Search Index
Journal :
IEEE Transactions on Geoscience & Remote Sensing
Publication Type :
Academic Journal
Accession number :
120288848
Full Text :
https://doi.org/10.1109/TGRS.2016.2594828