中国南极科学考察第24航次大气CO_2遥感算法及其在第26航次中的应用分析

ATMOSPHERIC CO_2 ALGORITHM BASED ON THE 24TH CRUISE OF CHINARE AND ITS APPLICATION TO THE 26TH CRUISE

利用中国南极科学考察第24航次采集的大气CO2浓度与AIRS的大气红外辐亮度进行统计回归,获取两者间的拟合关系。与该航次随机选取的60°S附近验证点比较,平均相对偏差为1.09%。同时,将拟合函数应用于对应第26航次同位置、近时间点的AIRS大气辐射值,其结果和第26航次走航数据进行比对,平均相对偏差为2.12%。对比同纬度下第24航次的精度,其精度有明显的下降,结果表明,利用统计回归的计算方式具有一定的局限性。

An algorithm was constructed by statistical regression using along-track atmospheric CO2 data collected during the 24th Chinese National Antarctic Research Expedition （ CHINARE ; Chinese National Arctic and Antarctic Administration） and Atmospheric Infrared Sounder （AIRS） radiance. Verification points around latitude 60° S were used, and the average error was 1.09%. AIRS radiance data with locations and times near those of the 26th CHIN- ARE cruise were input to the algorithm. Average error was 2.12%. It is demonstrated that the algorithm based on regression statistics has some limitations.