1 -- INTRODUCTION

1.1 Lecture Objectives

2 -- EVIDENCE FOR LONG-TERM DECREASES IN OZONE AMOUNTS

2.1 Dobson Ozone Measurements at Arosa, Switzerland

2.2 TOMS Global Average Ozone Measurements

3 -- ESTIMATION OF LONG-TERM OZONE TRENDS FROM OBSERVATIONS

3.1 Statistical Regression Models

3.2 Using Regression Analysis to Model Ozone Variability

3.3 Examples of Statistical Regression Analysis of Ozone Time Series

      3.3.1 Estimating trends from a simple linear regression model

      3.3.2 Estimating trends from a multiple linear regression model

3.4 Analyzing Individual Ozone Variability Components

      3.4.1 Seasonal cycle

      3.4.2 Quasi-Biennial Oscillation (QBO)

      3.4.3 Solar cycle

      3.4.4 Long-term, seasonally varying trend

4 -- ERROR ANALYSIS

4.1 Statistical Error

4.2 Instrumental Uncertainty and Calibration

5 -- CURRENT RESEARCH ON THE LONG-TERM OZONE TREND

5.1 Total Column Ozone Trends as a Function of Latitude and Season

5.2 Profile Ozone Trends as a Function of Latitude and Altitude

      5.2.1 Profile ozone trends estimated from SBUV data

      5.2.2 Profile ozone trends estimated from SAGE data

      5.2.3 Summary of profile ozone trends

6 -- TRENDS IN SURFACE UV RADIATION ASSOCIATED WITH OZONE TRENDS

6.1 Different Categories of UV Radiation and Their Biological Effects

6.2 UV Trend Estimates

BONUS INFORMATION

A. Using multiple harmonics as a proxy for the seasonal cycle

B. Functional form of the seasonally varying trend proxy

REVIEW QUESTIONS

REFERENCES