A new technique is advanced to obtain tropospheric temperature profile using vibrational Raman (VR) and rotational Raman (RR) backscattering. The proposed technique can obtain tropospheric temperature and decrease retrieval errors caused by insufficient suppression of the Mie backscattering in the RR detection channels. The retrieval equations are obtained using VR and RR lidar equations. The feasibility of this technique is demonstrated by applying the algorithm to the Hampton University VR and RR lidar signals. Intercomparisons of these atmospheric temperature retrievals from the Hampton University lidar show good agreement with local radiosonde measurements. Moreover, the proposed technique is applied to a cloudy case and is further validated by showing the good agreements with radiosonde measurements of cloud temperature.

中文翻译：

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利用振动和旋转拉曼反向散射获取对流层温度的新技术

先进的新技术利用振动拉曼（VR）和旋转拉曼（RR）反向散射获得对流层温度分布。所提出的技术可以获得对流层温度，并减少了由于对RR检测通道中Mie反向散射的抑制不足而引起的检索误差。使用VR和RR激光雷达方程可获取检索方程。通过将该算法应用于汉普顿大学的VR和RR激光雷达信号，证明了该技术的可行性。从汉普顿大学激光雷达中检索到的这些大气温度的比对结果与当地探空仪的测量结果吻合良好。此外，所提出的技术被应用于多云的情况，并通过显示与探空仪测量云温的良好一致性而得到进一步验证。