Analyses Of Total Atmospheric Ozone

The paper is composed of five chapters.The significances of atmospheric ozone for human beings are given in Chapter 1.The purposes and contents of the research in this paper are also included in this chapter.Adopting three-fold restriction technique to determine the standard deviation of error of three kinds of ozone data is discussed in chapter 3. These three kinds of total ozone data are: ground-based station data ,TOMS (Total Ozone Mapping Spectrophotometer) data and GOME(The Global Ozone Monitoring Experiment) date . The results show, as for the general data, the error of TOMS V8 is least, GOME is the second, ground-based is most. As for the ground-based general data, the error of Filter is the most, Brewer is the second, Dobson is the least. The Shiangher Dobson data 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, this is validated by the paper analysis.Using the data of SBUV/2 of NOAA satellite, total atmospheric ozone change characters are analyzed in chapter 4,including secular trends (1989～2000), annual changes as well as seasonal in different latitude bands. The results show that the total ozone descends in all latitude bands, but variation and speed are different. It has different secular trends in south and north latitude bands. Total ozone is most in spring, least in autumn, and middle in summer and in winter. At the same time, seasonal changes are different in different latitude bands. A summary and some conclusions of the paper are given in chapter 5.Some issues for further are indicated, too.