提高拉曼探测气溶胶消光系数精度的玻-温模式

拉曼雷达反演气溶胶消光系数时通常采用标准模式大气，但由于标准模式大气与探测地大气密度不符会对于探测结果造成一定影响，为减小这种影响提高拉曼雷达探测气溶胶消光系数的精度，采用玻耳兹曼能量分布规律和对流层大气温度线性递减的特征确定大气密度廓线以取代标准模式大气，进行了理论推导和实验验证，结果表明:新模式是可行的而且与标准模式大气相比更加吻合探测地实际大气，因而更能减小误差，建议激光雷达数据处理采用这种新模式。

Boltzmann-temperature model for enhancing precision of Raman detection aerosol extinction coefficient

Standard model atmosphere is usually adopted in Raman lidar aerosol extinction coefficient inversion, but sometimes standard model atmosphere does not match the actual atmospheric density so cause a greater impact on the detection results. In order to reduce the influence to enhance Raman lidar aerosol extinction coefficient inversion precision, a new model which atmospheric density profile was determinated by the Boltzmann energy distribution and tropospheric temperature linear decline law was proposed to replace standard model atmosphere, Theoretical derivation and experiment verify the feasibility of the method, and the result shows that the new model is more consistent with actual atmosphere, so it can reduce the error, it is proposed Raman lidar data processing may use this new model.