基于偏振高光谱激光雷达和微波辐射计的大气温度探测和融合算法研究

Atmosphere Temperature Profiling and a Fusion Algorithm Based on Polarization HSRL and MWR

大气温度作为大气探测领域的基本参数,获得高精度大气温度廓线对于天气预报和气候研究至关重要。本文利用自行研制的偏振高光谱激光雷达实现了边界层内大气温度的全天时、高信噪比测量,提出了利用拼接法进行高光谱激光雷达和微波辐射计的数据拼接和融合,实现了二者的优势互补。结果表明:偏振高光谱激光雷达可实现3.5 km以下的大气温度有效探测,其误差主要在±2 K内,微波辐射计在3 km以内探测误差较低,而在3 km以上误差在-4 K~-2 K,经过拼接后,在3.5 km以内误差为±1 K,相关性由拼接前的0.95提升到0.97。结果表明高光谱偏振激光雷达可有效进行边界层内大气温度的探测,经过与微波辐射计的融合,即可解决激光雷达的盲区问题,又可提升微波辐射计的探测精度。

Atmospheric temperature is the basic parameter for the detection of atmospheric fine structure,and obtaining high-precision atmospheric temperature profile is crucial for weather forecast and climate research.In this paper,the self-developed polarization high-spectral-resolution lidar is used to realize the all-day and high signal-to-noise ratio measurement of atmospheric temperature.The algorithm by combining polarization high-spectral-resolution lidar and microwave radiometer are proposed by linear splicing method,and the complementary advantages of the two are realized.The results show that the polarization high-spectral-resolution lidar can realize the effective detection of atmospheric temperature at a distance of 4 km,and the error is mainly within±2 K.The detection error of microwave radiometer is relatively low within 3 km,and the error is between−4 K and−2 K above 3 km.After splicing,the error is±1 K within 3.5 km,and the correlation increases from 0.95 to 0.97.The results show that the lidar can effectively detect the atmospheric temperature in the boundary layer.Through the integration with the microwave radiometer,the blind area problem of the lidar can be solved,and the detection accuracy of the microwave radiometer can be improved.