Intro
Preface
Contents
Ozone Layer Dynamics
Is There a Relationship Between Quasi-Biennial Atmospheric Variations and Changes in Temperature and Total Ozone in Antarctica?
1 Introduction
2 Initial Data
3 Data Processing Method
4 Results and Discussion
5 Conclusion
References
Atmospheric Chemical Composition Response to Energetic Electron Precipitations
1 Introduction
2 Model Description
2.1 Parameterized Model
2.2 Ion Chemistry Model
3 Results
4 Conclusions
References

Analysis of Factors Affecting the Interannual Variability of Antarctic Ozone
1 Introduction
2 Materials and Methods
3 Result
4 Conclusion
References
FTIR Measurements of Stratospheric Gases at the St. Petersburg Site
1 Introduction
2 Measurements of Trace Gases
2.1 FTIR Data
2.2 Analysis of Time Series
2.3 Comparison with ACE-FTS Measurements
3 Analysis of Ozonosphere
3.1 Role of Chlorines in Ozone Destruction
3.2 Study of Ozonosphere over St. Petersburg with FTIR-method
4 Conclusions
References
Paleo-, Environmental, and Rock Magnetism

Section of the Asha Series (Southern Urals)-Basu or Zigan Formation?
1 Introduction
2 The State of Paleomagnetic Knowledge of the Ediacaran in the Southern Urals
3 Object and Methods of Paleomagnetic Study
4 Results and Discussion
5 Conclusions
References
First Paleomagnetic Record of the Matuyama-Brunhes Transition in the Loess-Paleosol Series of Tajikistan
1 Introduction
2 Geological Setting and Methods
2.1 Object of the Study
2.2 Methods
3 Results
3.1 Magnetic Mineralogy
3.2 Natural Remanent Magnetization
3.3 Paleomagnetic Directions
4 Discussion

5 Conclusion
References
Magnetic Viscosity of Suevites from the Zhamanshin Impact Crater
1 Introduction
2 Structure and Phase Composition of Zhamanshin Suevites
3 Magnetic Viscosity in TEM Soundings
4 Laboratory Measurements of Impulse Response
4.1 Laboratory Setup for Measuring Impulse Response
4.2 Results
5 Frequency Dependence of Magnetic Susceptibility
6 Magnetic Hysteresis and Remanence Acquisition Measurements
7 Theoretical Modeling of Magnetic Characteristics
8 Conclusion
References

Iterative Feature Selection with Redundancy Accounting for the Neural Network Solution of Inverse Problems of Magnetotelluric Sounding
1 Introduction
2 Problem Statement
2.1 Parameterization Scheme
2.2 Data
3 Methods of Solving the Inverse Problem
3.1 The Use of Neural Networks
3.2 Description of the Iterative Feature Selection Algorithm
3.3 Application of the Iterative Feature Selection Algorithm
4 Results of Solving the Inverse Problem
5 Conclusions
References
Visual Statistics of the Total Geomagnetic Field Power
1 Introduction