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探测和监控大气温度的分布不仅能够准确地预测天气变化情况、大气环境状况,而且对于应对极端灾害性天气和遏制全球气候变暖也具有一定积极意义。传统微波雷达探测系统工作距离有限,易受到卷云和气溶胶颗粒的干扰,探测到的温度数据与实际结果吻合度低、误差高、可靠性不足。采用一种多波长偏振激光雷达对大气的温度变化情况进行监控,雷达系统接收大气中O_2和N_2向后散射的回波信号,依据数值模拟选择最优的探测波长并调整带宽范围;基于T矩阵算法获取不同相态下大气粒子的激光频谱特征,进而识别出激光雷达的反射率因子、比差分相移、发射率等偏振参量的变化情况,最终实现对大气温度的精准测量。实验分析表明,多波长偏振激光雷达得到的数据准确、可靠,能够用于对大气温度的探测和研究。
Detecting and monitoring the distribution of atmospheric temperature can not only accurately predict the weather conditions and atmospheric conditions, but also have some positive significance in coping with extreme disastrous weather and curbing global warming. The traditional microwave radar detection system has limited working distance and is susceptible to the interference of cirrus and aerosol particles. The detected temperature data have low coincidence with the actual results, high error and lack of reliability. A multi-wavelength Polariton Lidar is used to monitor the atmospheric temperature changes. The radar system receives backscattered E_2 and N_2 backscattered echo signals. Based on the numerical simulation, the optimal detection wavelength is selected and the bandwidth is adjusted. Based on the T matrix The laser spectral features of atmospheric particles in different phases are obtained. Then the change of the laser radar reflectance factor, differential phase shift and emissivity are identified, and the accurate measurement of atmospheric temperature is finally achieved. Experimental results show that the data obtained by multiwavelength Polarization Lidar is accurate and reliable and can be used to detect and study atmospheric temperature.