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选取2007年1、4、7、10月4个月夜间无云的云-气溶胶激光雷达和红外探测者观测卫星(CALIPSO)星载激光雷达Version 3.01数据,提取532nm激光海面后向散射系数并计算海面波浪均方斜率。同时选用准同步AMSR-E海面风速数据,利用Wanninkhof等于2009年提出的包含线性、平方、立方项的海面风速与气体传输速率混合关系模型计算海水施密特数为660时的海气界面气体传输速率k660。通过回归分析,得到由星载激光雷达数据反演k660的关系模型。将激光雷达数据反演结果与采用4种典型海面风速关系模型的计算结果进行比较,给出由星载激光雷达数据反演的4个月平均的海气界面气体传输速率全球分布图和纬度分布图。研究表明,CALIPSO星载激光雷达532nm单脉冲测量数据可用于反演海气界面气体传输速率。
Based on the CALIPSO version of the satellite Lidar Version 3.01, a cloud-free nighttime cloud-based cloud-based software was selected from January, April, July and October 2007 to extract the backscatter coefficient of 532 nm laser sea surface Calculate the mean square slope of the sea wave. Simultaneously, the sea surface wind velocity data of quasi-synchronous AMSR-E are selected and the air-sea interface gas transmission with seawater Schmid number of 660 is calculated by the Wanninkhof equation which is equal to the mixture equation of linear velocity, gas velocity and gas velocity in 2009, Rate k660. Through regression analysis, the relational model of k660 inversion from satellite lidar data is obtained. Comparing the results of Lidar data inversion with those obtained by using four typical sea surface wind speed models, the global distribution and latitudinal distribution of gas transport rates at 4-month averaged by satellite Lidar data are given Figure The study shows that the CALIPSO satellite laser 532 nm single pulse measurement data can be used to retrieve the gas transport rate of the air interface.