Ozone retrieval algorithm

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Table of contents

1 Introduction 
1.1 Vertical structure of the atmosphere
1.2 Stratospheric ozone
1.2.1 Stratospheric chemistry
1.2.2 Dynamical processes
1.3 Ozone depletion issue
1.3.1 Antarctic ozone loss
1.3.2 Arctic ozone loss
1.3.3 Mid-latitude ozone loss
1.4 Equivalent Effective Stratospheric Chlorine
1.5 Present state of the ozone layer
1.5.1 Ozone total column measurements
1.5.2 Ozone vertical profile
1.6 Ozone recovery : different stages of ozone evolution
1.7 Ozone and climate
1.8 Conclusions
2 Ozone lidar measurements 
2.1 LIDAR
2.2 Ozone DIAL system
2.2.1 Retrieval
2.2.2 Precision
2.2.3 Error analysis
2.3 The ozone lidar system at OHP
2.3.1 Transmitter
2.3.2 Optical receiver
2.3.3 Detection and acquisition
2.3.4 Ozone retrieval algorithm
2.3.5 Features of OHP lidar measurements
2.4 Features of other NDACC lidar measurements
2.5 Sensitivity tests
2.5.1 Ozone absorption cross-section
2.5.2 Temperature and wavelength dependence of cross-section
2.5.3 Comparison between BP and BDM cross-sections
2.5.4 Comparison between BP and BDM ozone number densities
2.5.5 Temperature dependence of ozone retrieval
2.6 OHP lidar ozone retrieval using NCEP data
2.7 Summary
3 Stability of ozone measurements at OHP 
3.1 Ozone Measurements
3.1.1 Umkehr
3.1.2 Ozonesondes
3.1.3 SBUV(/2)
3.1.4 SAGE II
3.1.5 HALOE
3.1.6 GOMOS
3.1.7 MLS
3.2 Methodology
3.2.1 Data screening
3.2.2 Coincidence criteria
3.2.3 Data conversion
3.2.4 Data analysis
3.3 Vertical distribution of mean bias
3.3.1 Long-term data sets
3.3.2 Short-term data sets
3.4 Temporal evolution
3.4.1 Comparison of Umkehr with lidar
3.4.2 Comparison of ozonesondes with lidar
3.4.3 Comparison of SAGE II and HALOE with lidar
3.4.4 Comparison of SBUV(/2) with lidar
3.4.5 Comparison of MLS and GOMOS with lidar
3.5 Drift in ozone differences
3.5.1 Sensitivity of standard deviations
3.5.2 Significance of the drifts in terms of the chosen standard deviation .
3.6 Summary
4 Stability of ozone observations over NDACC lidar stations 
4.1 Ozonesonde measurements
4.2 Data analysis
4.2.1 Relative difference and mean bias
4.2.2 Data conversion
4.3 Average biases: comparison with lidar measurements
4.3.1 Correction factor
4.4 Relative drifts
4.4.1 Comparison with ozone lidar as reference
4.4.2 Comparison of lidar with SBUV(/2), SAGE II and HALOE as references
4.4.3 Comparison of SBUV(/2), SAGE II and HALOE
4.4.4 Average of the drifts of long-term measurements
4.5 Combined data: SAGE II, HALOE and Aura MLS
4.5.1 Time series
4.5.2 Relative drifts of the combined time series
4.6 Summary
5 Stratospheric ozone evolution in the northern mid-latitudes 
5.1 Explanatory variables
5.1.1 Quasi Biennial Oscillation
5.1.2 Solar flux
5.1.3 Aerosols
5.1.4 Eddy heat flux
5.1.5 North Atlantic Oscillation
5.1.6 PWLT and EESC : Ozone trend estimation methods
5.2 Multiple regression model and method
5.3 Ozone total column measurements
5.3.1 Evolution of ozone total column
5.3.2 Ozone anomaly
5.3.3 Comparison between Dobson and SAOZ at OHP: bias and drift .
5.4 Multiple regression analysis of ozone total column at OHP
5.4.1 Contribution of proxies to ozone variability
5.4.2 Trends in ozone total column
5.5 Multiple regression analysis of ozone total column at MOHp
5.5.1 Contribution of proxies to ozone variability
5.5.2 Trends in ozone total column
5.6 Vertically resolved ozone observations at OHP
5.6.1 Stratospheric ozone evolution
5.6.2 Stratospheric ozone anomaly
5.6.3 Application of multiple regression
5.6.4 Contribution of proxies to the variability of ozone profiles
5.6.5 Trends in stratospheric ozone vertical profiles
5.7 Connection between ozone profile and column measurements
5.8 Summary
6 Summary, conclusions and perspectives 
6.1 Summary and conclusions
6.2 Perspectives
Bibliography