首页> 外文会议>Conference on Atmospheric and Environmental Remote Sensing Data Processing and Utilization: Readiness for GEOSS >A STUDY ON THE ACCURACIES OF OZONE DATA OBSERVED WITHGROUND-BASED AND SATELLITE-BORNEINSTRUMENTS
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A STUDY ON THE ACCURACIES OF OZONE DATA OBSERVED WITHGROUND-BASED AND SATELLITE-BORNEINSTRUMENTS

机译:用基于地下和卫星融资观察臭氧数据精度的研究

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Three-fold restriction technique is used to determine the standard deviation of the error in the total-ozone content obtained from the three independent data resources such as ground-based station data, TOMS (Total Ozone Mapping Spectrophotometer) and GOME (The Global Ozone Monitoring Experiment) in 1995-2004, The results show that, in general, the accuracy of TOMS V8 data is the best and that of ground-based observations is the worst. Since the ground-based observations can be classified into 3 types according to the equipment principles such as Filter, Brewer and Dobson, the standard deviation of the errors for the 3 types of ground data are also calculated with the 3-fold restriction technique and it has been found that the Filter has the largest error, the Brewer is the second, and the Dobson is the least The data quality at Shiangher Dobson Station of China is better than either TOMS or GOME. The data quality at Waliguan Brewer Station of China is better than TOMS, but worse than GOME. The error in TOMS V8 is evidently less than in TOMS V7 because of the algorithm amelioration of TOMS V8 over TOMS V7.
机译:三倍限制技术用于确定从三个独立数据资源获得的总臭氧内容中误差的标准偏差,例如基于地面的站数据,汤姆(总臭氧映射分光光度计)和Gome(全局臭氧监测实验)在1995 - 2004年,结果表明,一般而言,汤姆斯V8数据的准确性是最佳,地面观测的准确性是最糟糕的。由于基于地面的观测可以根据滤波器,啤酒员和多斯肯等设备原理将3种类型分为3种类型,因此使用3倍限制技术和其计算3种类型数据的误差的标准偏差已经发现过滤器具有最大的错误,酿酒师是第二个,而Dobson最少的数据质量最少,中国的昌英多森站的数据质量优于汤姆斯或国美。中国沃尔密啤酒站的数据质量比汤姆更好,但比国美更糟糕。由于汤姆斯v8对汤姆斯v7的算法改善,汤姆斯v8中的错误明显不到汤姆斯v7。

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