ALBERT

Note: Contents Preface Symbols Chapter 1 Introduction 1.1 Scope of Micrometeorology 1.2 Micrometeorology versus Microclimatology 1.3 Importance and Applications of Micrometeorology Problems and Exercises Chapter 2 Energy Budget near the Surface 2.1 Energy Fluxes at an Ideal Surface 2.2 Energy Balance Equations 2.3 Some Examples of Energy Budget 2.4 Applications Problems and Exercises Chapter 3 Radiation Balance near the Surface 3.1 Radiation Laws and Definitions 3.2 Shortwave Radiation 3.3 Longwave Radiation 3.4 Radiation Balance near the Surface 3.5 Radiative Flux Divergence 3.6 Applications Problems and Exercises Chapter 4 Soil Temperatures and Heat Transfer 4.1 Surface Temperature 4.2 Subsurface Temperatures 4.3 Thermal Properties of Soils 4.4 Theory of Soil Heat Transfer 4.5 Applications Problems and Exercises Chapter 5 Air Temperature and Humidity in the PBL 5.1 Factors Influencing Air Temperature and Humidity 5.2 Basic Thermodynamic Relations and Definitions 5.3 Static Stability 5.4 Mixed Layers and Inversions 5.5 Vertical Temperature and Humidity Profiles 5.6 Diurnal Variations 5.7 Applications Problems and Exercises Chapter 6 Wind Distribution in the PBL 6.1 Factors Influencing Wind Distribution 6.2 Geostrophic and Thermal Winds 6.3 The Effects of Friction 6.4 The Effects of Stability 6.5 Observed Wind Profiles 6.6 Diurnal Variations 6.7 Applications Problems and Exercises Chapter 7 An Introduction to Viscous Flows 7.1 Inviscid and Viscous Flows 7.2 Laminar and Turbulent Flows 7.3 Equations of Motion 7.4 Plane-Parallel Flows 7.5 Ekman Layers 7.6 Developing Boundary Layers 7.7 Heat Transfer in Fluids 7.8 Applications Problems and Exercises Chapter 8 Fundamentals of Turbulence 8.1 Instability of Flow and Transition to Turbulence 8.2 The Generation and Maintenance of Turbulence 8.3 General Characteristics of Turbulence 8.4 Mean and Fluctuating Variables 8.5 Variances and Turbulent Fluxes 8.6 Eddies and Scales of Motion 8.7 Applications Problems and Exercises Chapter 9 Semiempirical Theories of Turbulence 9.1 Mathematical Description of Turbulent Flows 9.2 Gradient-Transport Theories 9.3 Dimensional Analysis and Similarity Theories 9.4 Applications Problems and Exercises Chapter 10 Neutral Boundary Layers 10.1 Velocity-Profile Laws 10.2 Surface Roughness Parameters 10.3 Surface Stress and Drag Coefficient 10.4 Turbulence 10.5 Applications Problems and Exercises Chapter 11 Momentum and Heat Exchanges with Homogeneous Surfaces 11.1 The Monin-Obukhov Similarity Theory 11.2 Empirical Forms of Similarity Functions 11.3 Wind and Temperature Profiles 11.4 Drag and Heat Transfer Coefficients 11.5 Methods of Determining Momentum and Heat Fluxes 11.6 Applications Problems and Exercises Chapter 12 Evaporation from Homogeneous Surfaces 12.1 The Process of Evaporation 12.2 Potential Evaporation and Evapotranspiration 12.3 Modified Monin-Obukhov Similarity Relations 12.4 Micrometeorological Methods of Determining Evaporation 12.5 Applications Problems and Exercises Chapter 13 Marine Atmospheric Boundary Layer 13.1 Sea-Surface Characteristics 13.2 Momentum Transfer to the Sea Surface 13.3 Parameterization of Air-Sea Exchanges 13.4 Mean Profiles in the Marine Atmospheric Boundary Layer 13.5 Turbulence over Water 13.6 Applications Problems and Exercises Chapter 14 Nonhomogeneous Boundary Layers 14.1 Types of Surface Inhomogeneities 14.2 Step Changes in Surface Roughness 14.3 Step Changes in Surface Temperature 14.4 Air Modifications over Water Surfaces 14.5 Air Modifications over Urban Areas 14.6 Building Wakes and Street Canyon Effects 14.7 Other Topographical Effects 14.8 Applications Problems and Exercises Chapter 15 Agricultural and Forest Micrometeorology 15.1 Flux-Profile Relations above Plant Canopies 15.2 Radiation Balance within Plant Canopies 15.3 Wind Distribution in Plant Canopies 15.4 Temperature and Moisture Fields 15.5 Turbulence in Plant Canopies 15.6 Applications Problems and Exercises References Index

Note: Contents Preface 1 The Nature of Quaternary Pollen Analytical Data 1.1 Pollen Analysis as a Quaternary Palaeoecological Technique 1.2 Types of Quaternary Pollen Analytical Data 1.3 Methods of Presenting Quaternary Pollen Analytical Data 1.4 The Data Used 2 Basic Statistical Concepts 2.1 The Rôle of Statistics in Pollen Analysis 2.2 Description of the Binomial and Multinomial Distributions 2.3 The Binomial and Multinomial Distributions in Palynology 2.4 Further Statistical Examples in Quaternary Palynology 2.5 Exploratory Data Analysis and Classification 2.6 The Measurement of Dissimilarity 3 The Analysis of Pollen Stratigraphical Data: Zonation 3.1 The Concept of the Pollen Zone 3.2 Numerical Approaches to Pollen Zonation 3.3 The Constrained Single Link Method 3.4 Binary Divisive Procedures 3.5 Dynamic Programming Algorithm 3.6 The Variable Barriers Approach 3.7 Examples of Numerical Zonations 3.8 Advantages and Limitations of Numerical Zonations 4 The Analysis of Pollen Stratigraphical Data: Comparison of Sequences 4.1 Rationale of Comparing Pollen Sequences 4.2 Numerical Approaches to Comparing Stratigraphical Sequences 4.3 Comparison of Sequences in the Absence of Stratigraphical Constraints: Zone-By-Zone Comparisons 4.4 Comparison of Sequences in the Absence of Stratigraphical Constraints: Classification Methods 4.5 Comparison of Sequences by Slotting 4.6 Numerical Comparisons of Abernethy Forest 4.7 Other Examples of Numerical Comparisons 4.8 Properties of the Numerical Methods of Comparison 5 The Analysis of Modern Pollen Data 5.1 Introduction 5.2 Numerical Approaches to the Analysis of Modern Pollen Data 5.3 Presentation and Comparison of Modern Pollen Spectra from Different Vegetation Types 5.4 Modelling Modern Pollen-Vegetation Relationships 6 The Interpretation of Pollen Stratigraphical Data 6.1 Quantitative Approaches to Interpretation 6.2 Sequence-Splitting, Curve-Fitting, and Time Series-Analysis 6.3 The Use of Pollen-Representation Factors 6.4 Comparing Modern and Fossil Pollen Spectra 6.5 Recurrent Groups 6.6 Environmental Reconstructions Appendix: The Program ZONATION References Index

Note: Contents: List of contributors. - 1. Lakes, limnology and limnetic ecology: towards a new synthesis. - 2. The origin of lake basins. - 3. The hydrology of lakes. - 4. Chemical processes regulating the composition of lake waters. - 5. Physical properties of water relevant to limnology and limnetic ecology. - 6. The motion of lake waters. - 7. Regulatory impacts of humic substances in lakes. - 8. Sedimentation and lake sediment formation. - 9. Organisation and energetic partitioning of limnetic communities. - 10. Phytoplankton. - 11 Aquatic plants and lake ecosystems. - 12. Benthic invertebrates. - 13. Pelagic microbes - protozoa and the microbial food web. - 14. Zooplankton. - 15. Fish population ecology. - 16. Fish community ecology. - 17. Self-regulation of limnetic ecosystems. - 18. Palaeolimnology. - Index.

Note: Contents: Translator's foreword. - Preface to English edition. - Abstract. - Map showing major place names. - 1 Introduction. - 2 What is the tundra?. - 3 Temperature and humidity in the tundra. - 4 The diversity of tundra landscapes. - 5 Snow and its role in the life of the tundra. - 6 Adaptation of living organisms to conditions in the tundra zone. - 7 Distribution of animals and plants. - 8 Interrelationships between organisms. - 9 Man and the tundra. - Bibliography. - Index. , Aus dem Russ. übers.

Note: Contents: SUMMARY. - 1. INTRODUCTION. - 1.1 Geographic setting and ecosystems of the Antarctic. - 1.2 Man's activities in the Antarctic. - 2. ENVIRONMENTAL IMPACT ASSESSMENT. - 2.1 Environmental impact philosophy and terms. - 2.2 Definitions. - 2.3 Criteria for identifying significant impact. - 2.4 Temporal and spatial considerations of environmental impact. - 2.5 Consequential, synergistic and combined effects. - 2.6 Identification of sensitive indicators of change. - 3. ENVIRONMENTAL IMPACT ASSESSMENT PROCEDURE. - 3.1 Suggested format. - 3.2 When is an Environmental Impact Assessment necessary?. - 3.3 Environmental impact assessments of current operations and stations. - 3.4 Monitoring. - 4. SURVEY OF THE IMP ACTS OF MAN'S ACTIVITIES IN THE ANTARCTIC. - 4.1 Terrestrial impacts (including inland waters). - 4.2 Marine impacts. - 4.3 Atmospheric impacts. - 4.4 Distribution of impacts. - 5. THE FUTURE. - APPENDIX A. Relevant excerpts from Recommendation XII -3 (Man's Impact on the Antarctic Environment) of the Twelfth Antarctic Treaty Consultative Meeting, Canberra, 1983 and Paragraphs 17-19 of its Report. - APPENDIX B. ACRONYMS. - BIBLIOGRAPHY.

Note: Contents Preface 1. Introduction 1.1 The problem of scale transfer 1.2 Aims and scope 1.3 Definitions 1.4 Contents of this book 2. Upscaling 2.1 A classification of upscaling methods 2.2 Averaging of observations or output variables 2.2.1 Exhaustive Information 2.2.2 Design based methods 2.2.3 Geostatistical prediction 2.2.4 Deterministic functions 2.2.5 Combinations and auxiliary information 2.3 Finding representative parameters or input variables 2.3.1 Exhaustive information 2.3.2 Deterministic functions 2.3.3 Indirect stochastic methods 2.3.4 Direct stochastic methods 2.3.5 Inverse modelling 2.4 Averaging of model equations 2.4.1 Deterministic: temporal or volume averaging 2.4.2 Stochastic: ensemble averaging 2.5 Model simplification 2.5.1 Lumped conceptual modelling 2.5.2 Meta-modelling 3. Downscaling 3.1 A classification of downscaling methods 3.2 Empirical functions 3.2.1 Deterministic functions 3.2.2 Conditional stochastic functions 3.2.3 Unconditional stochastic functions 3.3 Mechanistic models 3.3.1 Deterministic functions 3.3.2 Conditional stochastic functions 3.3.3 Unconditional stochastic functions 3.4 Fine scale auxiliary information 3.4.1 Deterministic functions 3.4.2 Conditional stochastic functions 3.4.3 Unconditional stochastic functions 4. A simple DSS for upscaling and downscaling 4.1 Purpose and philosophy of the DSS 4.2 Functionality and options at startup 4.3 Definition of the research chain over the scales 4.3.1 Define a new research chain 4.3.2 Modify parts of research chain 4.4 Enter the DSS from the research chain 4.5 DSS Upscaling and Downscaling Appendix: Random Variables and Stochastic Functions Glossary Contents References Index

Note: CONTENTS: 1 Concepts and Foundations of Remote Sensing. - 1.1 Introduction. - 1.2 Energy Sources and Radiation Principles. - 1.3 Energy Interactions in the Atmosphere. - 1.4 EnergyJnteractions with Earth Surface Features. - 1.5 Data Acquisition and Interpretation. - 1.6 Reference Data. - 1.7 The Global Positioning System. - 1.8 An Ideal Remote Sensing System. - 1.9 Characteristics of Real Remote Sensing Systems. - 1.10 Successful Application of Remote Sensing. - 1.11 Land and Geographic Information Systems. - 1.12 Organization of the Book. - Selected Bibliography. - 2 Elements of Photographic Systems. - 2.1 Introduction. - 2.2 Early History of Aerial Photography. - 2.3 Basic Negative-to-Positive Photographic Sequence. - 2.4 Film Exposure 2.5 Film Density and Characteristic Curves. - 2.6 Spectral Sensitivity of Black and White Films. - 2.7 Color Film. - 2.8 Color Infrared Film. - 2.9 Filters. - 2.10 Aerial Film Cameras. - 2.11 Film Resolution. - 2.12 Electronic Imaging. - 2.13 Aerial Videography. - 2.14 Multiband Imaging. - 2.15 Conclusion. - Selected Bibliography. - 3 Basic Principles of Photogrammetry. - 3.1 Introduction. - 3.2 Basic Geometric Characteristics of Aerial Photographs. - 3.3 Photographic Scale. - 3.4 Ground Coverage of Aerial Photographs. - 3.5 Area Measurement. - 3.6 Relief Displacement of Vertical Features. - 3.7 Image Parallax. - 3.8 Ground Control for Aerial Photography. - 3.9 Mapping with Aerial Photographs. - 3.10 Flight Planning. - 3.11 Conclusion. - Selected Bibliography. - 4 Introduction to Visual Image Interpretation. - 4.1 Introduction. - 4.2 Fundamentals of Visual Image Interpretation. - 4.3 Basic Visual Image Interpretation Equipment. - 4.4 Land Use/Land Cover Mapping. - 4.5 Geologic and Soil Mapping. - 4.6 Agricultural Applications. - 4.7 Forestry Applications. - 4.8 Rangeland Applications. - 4.9 Water Resource Applications. - 4.10 Urban and Regional Planning Applications. - 4.11 Wetland Mapping. - 4.12 Wildlife Ecology Applications. - 4.13 Archaeological Applications. - 4.14 Environmental Assessment. - 4.15 Principles of Landform Identification and Evaluation. - Selected Bibliography. - 5 Multispectral, Thermal, and Hyperspectral Sensing. - 5.1 Introduction. - 5.2 Across-Track Scanning. - 5.3 Along-Track Scanning. - 5.4 Operating Principles of Across-Track Multispectral Scanners. - 5.5 Example Along-Track Multispectral Scanner and Data. - 5.6 Across-Track Thermal Scanning. - 5.7 Thermal Radiation Principles. - 5.8 Interpreting Thermal Scanner Imagery. - 5.9 Geometric Characteristics of Across-Track Scanner Imagery. - 5.10 Geometric Characteristics of Along-Track Scanner- Imagery. - 5.11 Radiometric Calibration of Thermal Scanners. - 5.12 Temperature Mapping with Thermal Scanner Data. - 5.13 FLIR Systems. - 5.14 Hyperspectral Sensing. - 5.15 Conclusion. - Selected Bibliography. - 6 Earth Resource Satellites Operating in the Optical Spectrum. - 6.1 Introduction. - 6.2 Early History of Space Imaging. - 6.3 Landsat Satellite Program Overview. - 6.4 Landsat-1,-2, and-3. - 6.5 Landsat-4 and -5. - 6.6 Landsat-6 Planned Mission. - 6.7 Landsat-7. - 6.8 Landsat Image Interpretation. - 6.9 New Millennium Program. - 6.10 SPOT Satellite Program. - 6.11 SPOT-1,-2, and-3. - 6.12 SPOT-4. - 6.13 SPOT-5. - 6.14 SPOT Image Interpretation. - 6.15 Other Moderate Resolution Land Satellites. - 6.16 High Resolution Land Satellites. - 6.17 Hyperspectral Satellite Systems. - 6.18 Meteorological Satellites. - 6.19 Ocean Monitoring Satellites. - 6.20 Earth Observing System. - 6.21 Space Station Remote Sensing. - Selected Bibliography. - 7 Digital Image Processing. - 7.1 Introduction. - 7.2 Image Rectification and Restoration. - 7.3 Image Enhancement. - 7.4 Contrast Manipulation. - 7.5 Spatial Feature Manipulation. - 7.6 Multi-Image Manipulation. - 7.7 Image Classification. - 7.8 Supervised Classification. - 7.9 The Classification Stage. - 7.10 The Training Stage. - 7.11 Unsupervised Classification. - 7.12 Hybrid Classification. - 7.13 Classification of Mixed Pixels. - 7.14 The Output Stage. - 7.15 Postclassification Smoothing. - 7.16 Classification Accuracy Assessment. - 7.17 Data Merging and GIS Integration. - 7.18 Hyperspectral Image Analysis. - 7.19 Biophysical Modeling. - 7.20 Scale Effects. - 7.21 Image Transmission and Compression. - 7.22 Conclusion. - Selected Bibliography. - 8 Microwave Sensing. - 8.1 Introduction. - 8.2 Radar Development. - 8.3 Side Looking Radar System Operation. - 8.4 Synthetic Aperture Radar. - 8.5 Geometric Characteristics of Side-Looking Radar Imagery. - 8.6 Transmission Characteristics of Radar Signals. - 8.7 Other Radar Image Characteristics. - 8.8 Radar Image Interpretation. - 8.9 Radar Remote Sensing from Space. - 8.10 Seasat-1. - 8.11 Shuttle Imaging Radar. - 8.12 Almaz-1. - 8.13 ERS-1, ERS-2, and Envisat-1. - 8.14 JERS-1 and ALOS. - 8.15 Radarsat. - 8.16 LightSAR. - 8.17 Spaceborne Radar System Summary. - 8.18 Interferometric Radar. - 8.19 Planetary Exploration. - 8.20 Passive Microwave Sensing. - 8.21 Lidar. - Selected Bibliography. - Appendix. - Remote Sensing Data Sources. - Remote Sensing Periodicals. - Index.

Note: Contents: 1. Introduction. - Overview. - 1.1 The use of diatoms in paleolimnology. - 1.2 Studies of freshwater diatoms in northern Québec and Labrador. - 1.3 Purpose of this project. - 2. Diatoms as indicators of dissolved organic carbon (DOC), alkalinity, and water colour. - Overview. - 2.1 Study area. - 2.2 Methods. - 2.2.1 Sampling and measurement procedures. - 2.2.2 Numerical analysis. - 2.3 Ordination results. - 2.3.1 PCA. - 2.3.2 CCA. - 2.4 Inference models. - 2.4.1 WA-PLS. - 2.4.2 Potential indicator taxa. - 2.5 Implications for paleoecological studies. - 3. Diatom taxa. - Overview. - Diatom flora. - References. - Plates. - Appendix I Raw environmental data for the 59 study sites of Jamésie-Hudsonie. - Appendix II Raw environmental data for the 64 study sites of Québec-Labrador. - Appendix III Taxonomic index of the 218 most abundant diatom species used for CCA plotting in Jamésie-Hudsonie. - Appendix IV Taxonomic index of the 128 most abundant diatom species used for CCA plotting in Québec-Labrador. - Species index

Note: Contents: List of Figures. - List of Tables. - 1. Introduction. - a. An Overview of Principal Component Analysis (PCA). - b. Outline of the Book. - c. A Brief History of PCA. - d. Acknowledgments. - 2. Algebraic Foundations of PCA. - a. Introductory Example: Bivariate Data Sets. - Monterey, California air temperatures. - Centering and rotating the data set. - Variances in the rotated frame. - Principal angles. - Principal variances. - Principal covariance. - Principal directions. - Principal components; principal directions as basis vectors. - Matrix representation. - The PCA property. - Invariance of the total variance under rotation. - Principal variances for standardized data sets. - PCA and estimates of the statistical parameters of normal populations. - PCA and the construction of Monte Carlo experiments. - Eigenvalues and eigenvectors of the covariance and scatter matrices. - b. Principal Component Analysis: Real-valued Scalar Fields. - t-centering the data set. - The scatter probe and the scatter matrix. - The eigenstructures of PCA. - The basic data set representations; analysis and synthesis formulas. - The PCA property. - Second-order properties of PCA; the total scatter . - The singular value decomposition (SVD) of a data set. - Second-order properties of PCA; correlations. - PCA characterized by the PCA property. - The asymptotic PCA property and dynamical systems. - PCA of spatial composites of data sets. - PCA of temporal composites of data sets. - c. Principal Component Analysis: Complex-valued Scalar Fields, and Beyond. - PCA of complex-valued data sets (C-PCA). - Complex algebra conventions. - The scatter probe and scatter matrix for C-PCA. - Derivation of the eigenstructures of C-PCA. - The fundamental formulas of C-PCA. - Generalization of PCA to quaternion-valued data sets (Q-PCA). - Matrix representations of complex and quaternion numbers. - PCA of matrix-valued data sets (M-PCA). - Reduction of M-PCA to C-PCA form. - d. Bibliographic Notes and Miscellaneous Topics. - Alternate interpretation of the scatter probe. - Numerical calculations of eigenstructures of a scatter matrix. - Some elementary properties of eigenstructures of a scatter matrix. - Sample space vs. state space: choosing the dual computation. - PCA for continuous domains. - PCA for continuous domains: the viewpoint of empirical orthogonal functions. - The sixteen possible domain pairs for PCA: abstract PCA. - 3. Dynamical Origins of PCA. - a. One-dimensional Hannonic Motion. - A spring-linked-mass model; general form. - A spring-linked-mass model; special form. - A numerical example of the asymptotic PCA property. - Further investigations of the asymptotic PCA property and of EOF's. - b. Two-dimensional Wave Motion. - Solution of a two-dimensional damped-wave model. - Demonstration of the asymptotic PCA property (forcing and friction absent). - Demonstration of the asymptotic PCA property (forcing and friction present). - Physical basis for eigenframe rotations. - c. Dynamical Origins of Linear Regression (LR). - From continuous to discrete solutions to the regression model. - The linear regression procedure. - Comparison of LRA and PCA. - d. Random Processes and Karhunen-Loeve Analysis. - Origins of random processes in linear settings. - Karhunen-Loeve representation of random data sets and comparison with PCA. - e. Stationary Processes and PCA. - Derivation of the PCA representation of a one-dimensional stationary process via a simple wave model. - Connections between PCA and stationary processes: the case of one dimension. - Connections between PGA and stationary processes: extension to two dimensions. - f. Bibliographic Notes. - 4. Extensions of PCA to Multivariate Fields. - a. Categories of Data and Modes of Analysis. - Examples. - Generalized notation: the concepts of "individual" and "variable" in PCA. - b. Local PCA of a General Vector Field. - The PCA formalism. - Squared correlations. - Variational origin of the scatter matrix. - Examples. - c. Global PCA of a General Vector Field: Time-Modulation Form. - The PGA formalism. - Squared correlations. - Degeneracy of global PGA to local PGA. - Variational origin of the scatter matrix. - d. Global PCA of a General Vector Field: Space-Modulation Form. - The PCA formalism. - Squared correlations. - Variational origin of the scatter matrix. - e. PCA of Spectral Components of a General Vector Field. - Fourier analysis of the vector field components. - The scatter matrix in the spectral setting. - Example of spectral PCA of a windfield. - f. Bibliographic Notes and Miscellaneous Topics. - The eight modes of analysis and Cattell's classifications. - Time-modulation PGA as a special case of matrix-valued PGA. - Applications to the PGA of wind fields. - Distinction between time-modulation PGA and complex PGA. - Applications to the PGA of storm tracks. - 5. Selection Rules for PCA. - a. Random Reference Data Sets. - b. Dynamical Origins of the Dominant-Variance Selection Rules. - A dynamical model. - Rationale for selection rules. - c. Rule A4. - Statistical basis and discussion. - Choice of λ0. - d. Rule N . - Statistical basis and discussion. - Adjustments for correlated data: effective sample size. - Asymptotic eigenvalues for large data sets. - e. Rule M. - f. Comments on Dominant-Variance Rules . - g. Dynamical Origins of the Time-History Selection Rules. - h. Rule KS2. - The white spectrum and the cumulative periodogram. - Statement of Rule KS2. - i. Rules AMPλ. - Fisher's test. - Siegel's test. - Statement of Rules AMPλ. - j. Rule Q. - k. Selection Rules for Vector-Valued Fields. - Local PCA rules. - Global PCA (time-modulated) rules. - Global PCA (space-modulated) rules. - I. A Space-map Selection Rule. - Canonic direction angles. - Differential relations between unit vectors and canonic direction angles. - An r-tile metric for comparing canonic direction angles. - Statistical aspects: critical values for class errors. - Statement of the selection rule. - m. Bibliographic Notes and Miscellaneous Topics. - Puzzles and problems underlying Rule N; the logarithmic eigenvalue curve. - Numerical intractability of the classical formulas for the eigenvalues of a random matrix. - Monte Carlo approaches to the eigenvalue distribution problem. - Comparison of Monte Carlo methods and asymptotic formulas for eigenvalue distributions. - The problem of closely spaced eigenvalues; tests for equal eigenvalues. - The generalized basis for dominant variance selection rules. - Parallel work in atomic physics. - 6. Factor Analysis (FA) and PCA. - a. Comparison of PCA, LRA, and FA. - Similarities between PCA, LRA, and FA. - Dissimilarities between PCA, LRA, and FA. - The usual algebraic form of FA; its PC and LR interpretations. - b. The Central Problems of FA. - The matrix formulation of FA. - The detailed sub-problems of FA. - c. Bibliographic Notes. - The selection rule problem in FA. - The parameter estimation problem in FA. - 7. Diagnostic Procedures via PCA and FA. - a. Dual Interpretations of a Data Set: State Space and Sample Space. - b. Interpreting E-frames in PCA State Space. - Example: graphical display of eigenvectors. - Rationales for interpreting eigenmaps and time series. - PCA as a means, rather than an end. - c. Informative and Uninformative E-frames in PCA State Space. - d. Rotating E-frames in PCA State Space (varimax). - A two-dimensional example of the varimax procedure. - The general varimax procedure. - The loss of the PCA property for rotated E-frames. - e. Projections onto E-frames in PCA State Space (procrustes). - Derivation of the procrustes technique. - Some observations on the generality of the procrustes technique. - f. Interpreting A-frames in PCA Sample Space. - g. Rotating A-frames in PCA Sample Space (varimax). - h. Projections onto A-frames in PCA Sample Space (procrustes). - i. Detecting Clusters of Points in PCA State or Sample Spaces. - Minimal spanning trees. - Defining cluster pairs, and te

Note: Contents: Preface. - Preface to the First Edition. - 1. Frozen Ground. - 1.1 Frozen Ground Support Systems. - 1.2 Seasonally and Perennially Frozen Ground. - 1.3 Terrain Features in Permafrost Areas. - 1.4 Engineering Considerations. - Problems. - 2. Physical and Thermal Properties. - 2.1 Composition and Structure of Frozen Ground. - 2.2 Soil Classification. - 2.3 Water-Ice Phase Relationships. - 2.4 Soil Frost Action. - 2.5 Thermal Properties. - Problems. - 3. Heat Flow in Soils. - 3.1 Heat Transfer at the Ground Surface. - 3.2 Seasonal Ground Freezing (or Thawing). - 3.3 Frost Protection and Thermal Insulation. - 3.4 Temperature Below Cooled (or Heated) Areas. - 3.5 Thermal Analysis: Frozen Ground Support Systems. - Problems. - 4. Thaw Behavior of Frozen Ground. - 4.1 Thaw Settlement. - 4.2 Consolidation of Thawing Soils. - 4.3 Thaw Consolidation in Some Layered Systems. - Problems. - 5. Mechanical Properties of Frozen Soils. - 5.1 Stress-Strain-Time and Strength Behavior. - 5.2 Factors Influencing Creep and Strength. - 5.3 Analytical Representation of Creep and Strength Data. - 5.4 Frozen Soil Behavior in Uniaxial Tension. - 5.5 Deformability of Frozen Soils. - 5.6 Compressibility of Frozen Soils. - 5.7 Frozen Ground sensitivity to Climate Change. - 5.8 Frozen Soil Creep and Strength: Generalization of Test Data. - Problems. - 6. Construction Ground Freezing. - 6.1 Design Considerations. - 6.2 Freezing Methods and System Installation. - 6.3 Structural Design of Frozen Earth Walls. - 6.4 Monitoring Requirements. - 6.5 Other Construction Considerations. - Problems. - 7. Foundations in Frozen Soils. - 7.1 General Considerations. - 7.2 Shallow Foundations. - 7.3 Pile Foundations. - 7.4 Frost Heave Forces on Foundations. - 7.5 Frost Protection of Foundations Using Ground Insulation. - Problems. - 8. Stability of Soil Masses in Cold Regions. - 8.1 Landslides in Permafrost: Classification. - 8.2 Slopes in Thawing Permafrost. - 8.3 Slopes in Frozen Soils. - 8.4 Monitoring Creep in Frozen Slopes. - 8.5 Slope Stabilization Methods. - Problems. - 9. Earthwork in Cold Regions. - 9.1 Site Considerations. - 9.2 Excavation and Transport. - 9.3 Field Placement. - 9.4 Water-Retaining Embankments on Permafrost. - 9.5 Embankment Performance. - 10. Field Investigations. - 10.1 Sampling Frozen Ground. - 10.2 Ground-Temperature Measurement. - 10.3 Field Testing of Frozen Soils. - 10.4 Geophysical Methods. - 11. Pavement Structures. - 11.1 Seasonal Frost Areas. - 11.2 Permafrost Areas. - 11.3 Highway Insulation. - 11.4 Load Restrictions. - 11.5 Special Problems. - Problems. - Appendix A. Notation. - Symbols. - Greek Symbols. - Subscripts. - Appendix B. SI Units. - SI Base Units. - SI Prefixes. - SI Derived Units. - Conversion Factors. - Appendix C. Laboratory and Field Tests on Frozen Soils. - C.1 Handling, Storage, and Machining of Specimens Prior to Testing. - C.2 Uniaxial Compression Test. - C.3 Uniaxial Tensile Test. - C.4 Salinity of Soil Pore Water. - C.5 Thermosiphon. - C.6 Pile Load Test in Permafrost. - C.7 Hydraulic Conductivity of Frozen Soils. - References. - Author Index. - Subject Index.

Note: Contents: Preface. - Acknowledgements. - Chapter 1 Introduction. - 1.1 The Static Structure of the Middle Atmosphere. - 1.2 Zonal Mean Temperature and Wind Distributions. - 1.3 Composition of the Middle Atmosphere. - 1.4 The Vertical Distribution of Eddy Amplitudes. - 1.5 Observational Techniques. - References. - Chapter 2 Radiative Processes and Remote Sounding. - 2.1 Introduction. - 2.2 Fundamentals. - 2.3 Gaseous Absorption Spectra. - 2.4 Transmission Functions. - 2.5 Infrared Radiative Exchange and Radiative Damping. - 2.6 Departure from Local Thermodynamic Equilibrium. - 2.7 Absorption of Solar Radiation. - 2.8 Radiative Equilibrium Temperature and Heating-Rate Distributions. - 2.9 Remote Sounding. - References. - Chapter 3 Basic Dynamics. - 3.1 Introduction. - 3.2 The Beta-Plane Approximation and Quasi-Geostrophic Theory. - 3.3 The Eulerian-Mean Equations. - 3.4 Linearized Disturbances to Zonal-Mean Flows. - 3.5 The Transformed Eulerian-Mean Equations. - 3.6 The Generalized Eliassen-Palm Theorem and the Charney-Drazin Nonacceleration Theorem. - 3.7 The Lagrangian Approach. - 3.8 Isentropic Coordinates. - 3.9 The Zonal-Mean Equations in Isentropic Coordinates. - Appendix 3A. Derivation of Some Equations in Isentropic Coordinates. - Appendix 3B. Boundary Conditions on the Residual Circulation. - References. - Chapter 4 Linear Wave Theory. - 4.1 Introduction and Classification of Wave Types. - 4.2 Wave Disturbances to a Resting Spherical Atmosphere. - 4.3 Atmospheric Thermal Tides. - 4.4 Free Traveling Planetary Waves. - 4.5 Forced Planetary Waves. - 4.6 Gravity Waves. - 4.7 Equatorial Waves. - Appendix 4A. Ray-Tracing Theory and Wave Action in a Slowly Varying Medium. - References. - Chapter 5 Extratropical Planetary-Scale Circulations. - 5.1 Introduction. - 5.2 The Observed Annual Cycle. - 5.3 Detailed Linear Models of Stationary Planetary Waves in the Middle Atmosphere. - 5.4 Detailed Linear Models of Free Traveling Planetary Waves in the Atmosphere. - 5.5 Barotropic and Baroclinic Instability. - 5.6 Planetary-Wave Critical Layers. - References. - Chapter 6 Stratospheric Sudden Warmings. - 6.1 Introduction. - 6.2 Observed Features of Sudden Warmings. - 6.3 Theoretical Modeling of Sudden Warmings. - 6.4 Conclusions. - References. - Chapter 7 The Extratropical Zonal-Mean Circulation. - 7.1 Introduction. - 7.2 Some Simple Zonally Averaged Models of the Middle Atmosphere. - 7.3 The Upper Mesosphere. - 7.4 The Winter Polar Stratosphere. - 7. 5 Interpretation and Generalization. - References. - Chapter 8 Equatorial Circulations. - 8.1 Introduction. - 8.2 The Observed Structure of the Equatorial Quasi-Biennial Oscillation. - 8.3 Theory of the Quasi-Biennial Oscillation. - 8.4 Observed Structure of the Equatorial Semiannual Oscillations. - 8.5 Dynamics of the Equatorial Semiannual Oscillations. - 8.6 Inertial Instability in the Equatorial Zone. - References. - Chapter 9 Tracer Transport in the Middle Atmosphere. - 9.1 Introduction: Types of Tracers. - 9.2 Long-Lived Chemical Tracers. - 9.3 Transport in the Meridional Plane. - 9.4 Formulations of Eddy and Mean-Flow Transport. - 9.5 Dispersive Wave Transport: Irreversible Mixing of Tracers. - 9.6 Troposphere-Stratosphere Exchange. - 9.7 Transport Modeling. - Appendix 9A. The Transformed Eulerian-Mean Transport for Small-Arnplitude Eddies. - References. - Chapter 10 The Ozone Layer. - 10.1 Introduction. - 10.2 The Climatology of Ozone. - 10.3 Elementary Aspects of Photochemical Modeling. - 10.4 Photochemistry of Ozone: Catalytic Cycles. - 10.5 Models of the Natural and Perturbed Ozone Layer. - Appendix 10A. The Continuity Equation for Chemical Species. - References. - Chapter 11 General Circulation Modeling. - 11.1 Models of the Lower Stratosphere. - 11.2 The GFDL SKYHI Model. - 11.3 Forecasting of Sudden Stratospheric Warmings. - 11.4 Transport Modeling. - References. - Chapter 12 Interaction between the Middle Atmosphere and the Lower Atmosphere. - 12.1 Introduction. - 12.2 Radiative Links: Deductions from Simple Models. - 12.3 Radiative Links: Deductions from GCMs. - 12.4 Dynamical Links: Vertically Propagating Planetary Waves. - 12.5 Interannual Variability in the Stratosphere. - References. - Bibliography. - Index.

Note: Contents Introduction 1 Climatic System: Data, Processes, Scales, and Deterministic Models 1.1 Main Components of the Climate System 1.1.1 "Thick" Subsystems 1.1.2 "Thin" Subsystems 1.1.3 Local and Discrete Objects 1.2 Climate Processes 1.2.1 Overview of Climate Processes 1.2.2 External Climate Mechanisms 1.2.3 Internal Mechanisms of Climatie Variations 1.2.4 Transfer-Accumulation Processes 1.3 Scales of Climatic Variability 1.3.1 Spatial Scales 1.3.2 Temporal Scales 1.4 Deterministic Climate Models 1.4.1 General Circulation Models and Coupled Models 1.4.2 Other Types of Climate Models 1.5 Observational Basis for Stochastic Climate Theory 1.5.1 Data on Variability of "Thick" Climatic Subsystems 1.5.1.1 Near-Surface Air Temperature 1.5.1.2 Other Atmospheric Variables 1.5.1.3 Sea Surface Temperature 1.5.1.4 Sea Level 1.5.1.5 lce Sheets 1.5.2 Data on Variables of Thin Earth Covers 1.5.2.1 Snow Cover 1.5.2.2 Sea lce 1.5.2.3 Vegetation Cover 1.5.3 Data on Discrete and Local Climatic Objects 1.5.3.1 River Runoff 1.5.3.2 Lakes 1.5.3.3 Mountain Glaciers 1.5.4 Conclusions on Observational Data 2 Theoretical Foundations of the Stochastic Approach to Climate Variability Studies 2.1 Basic Ideas and Principles of the Stochastic Climate Theory 2.1.1 Mathematical Models and Natural Processes 2.1.2 A Climatic Variable as a Random Variable 2.1.3 Evolution of a Climatic Variable as a Random Function 2.1.4 Stationarity of Climatic Processes 2.2 Introduction to the Theory of Random Functions with Emphasis on Climate Variability 2.2.1 Moments, Mean Value, Correlation Function 2.2.2 The Ergodicity of Climate Variability 2.2.3 Examples of Stationary Random Sequences 2.2.3.1 Uncorrelated Random Variables 2.2.3.2 Moving Averages 2.2.4 Spectral Representation of the Random Process 2.2.5 Climatic Meanings of the Spectral Distribution Function 2.2.6 Spectral Representation of Stationary Sequences 2.2.7 The Markov Sequence 2.2.8 The Discrete Wiener Process 2.2.9 Other Types of Random Functions 2.2.9.1 Autoregressive Models 2.2.9.2 Seasonal Models 2.2.9.3 Threshold Models 2.3 Estimation of Model Parameters 2.3.1 Theoretical Models and the Practice of Model Identification 2.3.2 Informational Approach to the Identification of Stochastic Models 2.3.3 Maximum Entropy Method and Autoregressive Models 2.3.4 Model Identification and Estimation of Model Parameters 2.3.5 An Example ofModel Identification and Parameter Estimation 2.3.6 Frequency Truncation Method of Normalized Spectral Estimates 2.3.7 Other Methods of Time Series Processing 2.3.7.1 Conventional Methods. Moving Average and ARMA models 2.3.7.2 "Deterministic Chaos". Other Methods of Nonlinear Analysis 2.4 Physical Basis of the Stochastic Climate Theory 2.4.1 Atmospheric Forcing ofthe Climate System 2.4.1.1 Observational Evidence 2.4.1.2 Atmospheric Model Results 2.4.1.3 Simple Nonlinear Model as Analog of Atmospheric Forcing 2.4.2 Hasselmann's Stochastic Climate Models 2.4.2.1 Hypothesis on Weather-Climate Two-Scale Separation 2.4.2.2 Classification of Climate Models 2.4.2.3 Analogies with Turbulent Fluid, Brownian Motion, and Other Physical Processes. The Central Limit Theorem 2.4.2.4 Spectra and Correlation Functions of the Stochastic Climate Models. Models Without Feedback 2.4.2.5 Models with Feedback 3 Stochastic Models of Recent Climatic Changes 3.1 Changes in Thick Climatic Subsystems 3.1.1 Local Changes 3.1.1.1 Analysis of Observational Data 3.1.1.2 Local Stochastic Dynamical Models 3.1.2 Regional, Spatially Averaged, and Two-Dimensional Patterns 3.1.2.1 20 Stochastic Patterns of Observational Data 3.1.2.2 Stochastic Dynamical Regional Models 3.1.2.3 Stochastic Models of ENSO Events 3.1.3 Globally Averaged Climate Variables 3.1.3.1 Global Water Mass Exchange. Global Mean Sea Level 3.1.3.2 Global Temperatures 3.1.3.3 "Minus Two" Law of Climatic Variability 3.1.3.4 Stochastic Dynamical Models of Global Temperatures 3.1.3.5 Local-Global Polarization Phenomenon 3.2 Variabilities of Thin Climatic Subsystems 3.2.1 Analyzed Oata 3.2.1.1 37 GHz Polarization Oifference and Related Data 3.2.1.2 Snow and Sea lce Remotely Sensed Data 3.2.1.3 Related Satellite-Based and Conventional Data on Global Air and Sea Temperatures 3.2.2 Comparison of Results for Remotely Sensed and Conventional Data 3.2.2.1 Comparison of Results on Local Scales 3.2.2.2 Globally Averaged 37 GHz Polarization Difference Data. Concentration of Carbon Dioxide in the Atmosphere 3.2.3 Results of Stochastic Analysis of Local and Regional Hydrological Changes 3.2.3.1 Results of 37 GHz PD Data Analysis for Floodable Areas 3.2.3.2 Results for 37 GHz PD Data on Vegetation Cover in Different Natural Zones 3.2.4 Results of Analysis of Global Changes in Hydrological and Related Parameters 3.2.5 Modeling the Dynamics of Thin Subsystems 3.2.6 Local-Global Polarization Phenomenon and Thin Climatic Subsystems 3.2.7 Discussion on the Global Climatic Subsystems 3.3 Changes in Local and Discrete Climatic Objects 3.3.1 Rivers and River Runoff 3.3.2 Mountain Glaciers 4 Stochastic Models for Glacial Cycles 4.1 Stochastic Analysis of Reconstructed Data on Glacial Cycles 4.1.1 Existing Paleoreconstructed Time Series 4.1.2 Results of Stochastic Analysis of the Last Deglaciation Period, 0 - 18 ka B.P. 4.1.3 Analysis of 200 - 300 ka Time Series 4.1.4 Longer Time Series. Features of Cyclicity 4.1.5 High Resolution Paleorecords 4.2 Zero-Dimensional Model of Glacial Cycles 4.2.1 Hypotheses, Assumptions, and Equations 4.2.2 Results of Numerical Experiments 4.3 Two-Dimensional Stochastic Dynamical Model of Glacial Cycles 4.3.1 Mathematical Model, Parameters, and Experiments 4.3.1.1 Computational Area 4.3.1.2 Equations and Parameters of the Model 4.3.1.3 Numerical Experiments 4.3.2 Results 4.3.2.1 Experiments Without External Forcing 4.3.2.2 Experiments With External Forcing. Globally Averaged Results 4.3.2.3 Zonally Averaged Results 4.3.2.4 Regional Results Conclusion References Index

Note: Contents: Introduction / Professor James H. Zumberge. - 1. First Impressions and the Setting. - 2. Why Are Scientists Interested in the Antarctic?. - 3. First Studies of Antarctica to the Treaty. - 4. Logistics, Transportation, and Telecommunications. - 5. Geodesy and Cartography in Antarctica. - 6. Geology and Solid-Earth Geophysics. - 7. "Land of Mountainous Ice". - 8. Cold Waters Run Deep. - 9. Antarctic Meteorology. - 10. Cold Climates and Frozen Atmospheres. - 11. The Upper Atmosphere from Antarctica. - 12. The Living Edge of Antarctica. - 13. Hostile Environment for Mankind. - 14. Environmental Impact of Man. - 15. Freedom of Exchange of Antarctic Scientific Information. - 16. A Continent for Collaboration. - Appendix 1: SCAR Publications. - Appendix 2: Antarctic Treaty. - Acknowledgements. - Index.

Note: Contents: Preface. - 1. Introduction: Distributions and Inference for Categorical Data. - 1.1 Categorical Response Data. - 1.2 Distributions for Categorical Data. - 1.3 Statistical Inference for Categorical Data. - 1.4 Statistical Inference for Binomial Parameters. - 1.5 Statistical Inference for Multinomial Parameters. - Notes. - Problems. - 2. Describing Contingency Tables. - 2.1 Probability Structure for Contingency Tables. - 2.2 Comparing Two Proportions. - 2.3 Partial Association in Stratified 2 x 2 Tables. - 2.4 Extensions for I x J Tables. - Notes. - Problems. - 3. Inference for Contingency Tables. - 3.1 Confidence Intervals for Association Parameters. - 3.2 Testing Independence in Two-Way Contingency Tables. - 3.3 Following-Up Chi-Squared Tests. - 3.4 Two-Way Tables with Ordered Classifications. - 3.5 Small-Sample Tests of Independence. - 3.6 Small-Sample Confidence Intervals for 2 x 2 Tables. - 3.7 Extensions for Multiway Tables and Nontabulated Responses. - Notes. - Problems. - 4. Introduction to Generalized Linear Models. - 4.1 Generalized Linear Model. - 4.2 Generalized Linear Models for Binary Data. - 4.3 Generalized Linear Models for Counts. - 4.4 Moments and Likelihood for Generalized Linear Models. - 4.5 Inference for Generalized Linear Models. - 4.6 Fitting Generalized Linear Models. - 4.7 Quasi-likelihood and Generalized Linear Models. - 4.8 Generalized Additive Models. - Notes. - Problems. - 5. Logistic Regression. - 5.1 Interpreting Parameters in Logistic Regression. - 5.2 Inference for Logistic Regression. - 5.3 Logit Models with Categorical Predictors. - 5.4 Multiple Logistic Regression. - 5.5 Fitting Logistic Regression Models. - Notes. - Problems. - 6. Building and Applying Logistic Regression Models. - 6.1 Strategies in Model Selection. - 6.2 Logistic Regression Diagnostics. - 6.3 Inference About Conditional Associations in 2 x 2 x K Tables. - 6.4 Using Models to Improve Inferential Power. - 6.5 Sample Size and Power Considerations. - 6.6 Probit and Complementary Log-Log Models. - 6.7 Conditional Logistic Regression and Exact Distributions. - Notes. - Problems. - 7. Logit Models for Multinomial Responses. - 7.1 Nominal Responses: Baseline-Category Logit Models. - 7.2 Ordinal Responses: Cumulative Logit Models. - 7.3 Ordinal Responses: Cumulative Link Models. - 7.4 Alternative Models for Ordinal Responses. - 7.5 Testing Conditional Independence in I x J x K Tables. - 7.6 Discrete-Choice Multinomial Logit Models. - Notes. - Problems. - 8. Loglinear Models for Contingency Tables. - 8.1 Loglinear Models for Two-Way Tables. - 8.2 Loglinear Models for Independence and Interaction in Three-Way Tables. - 8.3 Inference for Loglinear Models. - 8.4 Loglinear Models for Higher Dimensions. - 8.5 The Loglinear_Logit Model Connection. - 8.6 Loglinear Model Fitting: Likelihood Equations and Asymptotic Distributions. - 8.7 Loglinear Model Fitting: Iterative Methods and their Application. - Notes. - Problems. - 9. Building and Extending Loglinear/Logit Models. - 9.1 Association Graphs and Collapsibility. - 9.2 Model Selection and Comparison. - 9.3 Diagnostics for Checking Models. - 9.4 Modeling Ordinal Associations. - 9.5 Association Models. - 9.6 Association Models, Correlation Models, and Correspondence Analysis. - 9.7 Poisson Regression for Rates. - 9.8 Empty Cells and Sparseness in Modeling Contingency Tables. - Notes. - Problems. - 10. Models for Matched Pairs. - 10.1 Comparing Dependent Proportions. - 10.2 Conditional Logistic Regression for Binary Matched Pairs. - 10.3 Marginal Models for Square Contingency Tables. - 10.4 Symmetry, Quasi-symmetry, and Quasiindependence. - 10.5 Measuring Agreement Between Observers. - 10.6 Bradley-Terry Model for Paired Preferences. - 10.7 Marginal Models and Quasi-symmetry Models for Matched Sets. - Notes. - Problems. - 11. Analyzing Repeated Categorical Response Data. - 11.1 Comparing Marginal Distributions: Multiple Responses. - 11.2 Marginal Modeling: Maximum Likelihood Approach. - 11.3 Marginal Modeling: Generalized Estimating Equations Approach. - 11.4 Quasi-likelihood and Its GEE Multivariate Extension: Details. - 11.5 Markov Chains: Transitional Modeling. - Notes. - Problems. - 12. Random Effects: Generalized Linear Mixed Models for Categorical Responses. - 12.1 Random Effects Modeling of Clustered Categorical Data. - 12.2 Binary Responses: Logistic-Normal Model. - 12.3 Examples of Random Effects Models for Binary Data. - 12.4 Random Effects Models for Multinomial Data. - 12.5 Multivariate Random Effects Models for Binary Data. - 12.6 GLMM Fitting, Inference, and Prediction. - Notes. - Problems. 13. Other Mixture Models for Categorical Data. - 13.1 Latent Class Models. - 13.2 Nonparametric Random Effects Models. - 13.3 Beta-Binomial Models. - 13.4 Negative Binomial Regression. - 13.5 Poisson Regression with Random Effects. - Notes. - Problems. - 14. Asymptotic Theory for Parametric Models. - 14.1 Delta Method. - 14.2 Asymptotic Distributions of Estimators of Model Parameters and Cell Probabilities. - 14.3 Asymptotic Distributions of Residuals and Goodnessof-Fit Statistics. - 14.4 Asymptotic Distributions for Logit/Loglinear Models. - Notes. - Problems. - 15. Alternative Estimation Theory for Parametric Models. - 15.1 Weighted Least Squares for Categorical Data. - 15.2 Bayesian Inference for Categorical Data. - 15.3 Other Methods of Estimation. - Notes. - Problems. - 16. Historical Tour of Categorical Data Analysis. - 16.1 Pearson-Yule Association Controversy. - 16.2 R. A. Fisher's Contributions. - 16.3 Logistic Regression. - 16.4 Multiway Contingency Tables and Loglinear Models. - 16.5 Recent and Future? Developments. - Appendix A. Using Computer Software to Analyze Categorical Data. - A.1 Software for Categorical Data Analysis. - A.2 Examples of SAS Code by Chapter. - Appendix B. Chi-Squared Distribution Values. - References. - Examples Index. - Author Index. - Subject Index.

Note: J.S. Daly, R.A. Cliff, and B.W.D. Yardley: Preface / Geological Society, London, Special Publications, 43:vii-viii, doi:10.1144/GSL.SP.1989.043.01.01 --- E. J. Essene: The current status of thermobarometry in metamorphic rocks / Geological Society, London, Special Publications, 43:1-44, doi:10.1144/GSL.SP.1989.043.01.02 --- L. Ya. Aranovich and K. K. Podlesskii: Geothermobarometry of high-grade metapelites: simultaneously operating reactions / Geological Society, London, Special Publications, 43:45-61, doi:10.1144/GSL.SP.1989.043.01.03 --- Frank S. Spear: Relative thermobarometry and metamorphic P-T, paths / Geological Society, London, Special Publications, 43:63-81, doi:10.1144/GSL.SP.1989.043.01.04 --- R. H. Vernon: Porphyroblast-matrix microstructural relationships: recent approaches and problems / Geological Society, London, Special Publications, 43:83-102, doi:10.1144/GSL.SP.1989.043.01.05 --- John Ridley: Vertical movement in orogenic belts and the timing of metamorphism relative to deformation / Geological Society, London, Special Publications, 43:103-115, doi:10.1144/GSL.SP.1989.043.01.06 --- R. A. Jamieson and C. Beaumont: Deformation and metamorphism in convergent orogens: a model for uplift and exhumation of metamorphic terrains / Geological Society, London, Special Publications, 43:117-129, doi:10.1144/GSL.SP.1989.043.01.07 --- Peter K. Zeitler: The geochronology of metamorphic processes / Geological Society, London, Special Publications, 43:131-147, doi:10.1144/GSL.SP.1989.043.01.08 --- James J. Irwin, Charles Kirschbaum, Tek. H. Lim, Derek Powell, and William E. Glassley: A laser-microprobe study of argon isotopes in deformed pegmatites from the Northern Highlands of Scotland / Geological Society, London, Special Publications, 43:149-160, doi:10.1144/GSL.SP.1989.043.01.09 --- A. Reuter and R. D. Dallmeyer: K-Ar and 40Ar/39Ar dating of cleavage formed during very low-grade metamorphism: a review / Geological Society, London, Special Publications, 43:161-171, doi:10.1144/GSL.SP.1989.043.01.10 --- Hanan J. Kisch: Discordant relationship between degree of very low-grade metamorphism and the development of slaty cleavage / Geological Society, London, Special Publications, 43:173-185, doi:10.1144/GSL.SP.1989.043.01.11 --- J. J. De Yoreo, D. R. Lux, and C. V. Guidotti: The role of crustal anatexis and magma migration in the thermal evolution of regions of thickened continental crust / Geological Society, London, Special Publications, 43:187-202, doi:10.1144/GSL.SP.1989.043.01.12 --- C. P. Chamberlain and Douglas Rumble III: The influence of fluids on the thermal history of a metamorphic terrain: New Hampshire, USA / Geological Society, London, Special Publications, 43:203-213, doi:10.1144/GSL.SP.1989.043.01.13 --- Howard W. Day and C. Page Chamberlain: Implications of thermal and baric structure for controls on metamorphism: northern New England, USA / Geological Society, London, Special Publications, 43:215-222, doi:10.1144/GSL.SP.1989.043.01.14 --- L. Aguirre, B. Levi, and J. O. Nyström: The link between metamorphism, volcanism and geotectonic setting during the evolution of the Andes / Geological Society, London, Special Publications, 43:223-232, doi:10.1144/GSL.SP.1989.043.01.15 --- T. M. Gordon: Thermal evolution of the Kisseynew sedimentary gneiss belt, Manitoba: metamorphism at an early Proterozoic accretionary margin / Geological Society, London, Special Publications, 43:233-243, doi:10.1144/GSL.SP.1989.043.01.16 --- Peter H. Thompson: An empirical model for metamorphic evolution of the Archaean Slave Province and adjacent Thelon Tectonic Zone, north-western Canadian Shield / Geological Society, London, Special Publications, 43:245-263, doi:10.1144/GSL.SP.1989.043.01.17 --- Amalbikash Mukherjee: P-T-time history and thermal modelling of an anorthosite-granulite interface, Eastern Ghats metamorphic belt, India / Geological Society, London, Special Publications, 43:265-274, doi:10.1144/GSL.SP.1989.043.01.18 --- Leonid L. Perchuk: P-T-fluid regimes of metamorphism and related magmatism with specific reference to the granulite-facies Sharyzhalgay complex of Lake Baikal / Geological Society, London, Special Publications, 43:275-291, doi:10.1144/GSL.SP.1989.043.01.19 --- D. Ackermand, B. F. Windley, and A. Razafiniparany: The Precambrian mobile belt of southern Madagascar / Geological Society, London, Special Publications, 43:293-296, doi:10.1144/GSL.SP.1989.043.01.20 --- I. Cartwright and A. C. Barnicoat: Evolution of the Scourian complex / Geological Society, London, Special Publications, 43:297-301, doi:10.1144/GSL.SP.1989.043.01.21 --- M. A. H. Maboko, I. McDougall, and P. K. Zeitler: Metamorphic P-T path of granulites in the Musgrave Ranges, central Australia / Geological Society, London, Special Publications, 43:303-307, doi:10.1144/GSL.SP.1989.043.01.22 --- Eileen McLellan, Daniel Linder, and Jenny Thomas: Multiple granulite-facies events in the southern Appalachians, USA / Geological Society, London, Special Publications, 43:309-314, doi:10.1144/GSL.SP.1989.043.01.23 --- James M. McLelland: Pre-granulite-facies metamorphism in the Adirondack Mountains, New York / Geological Society, London, Special Publications, 43:315-317, doi:10.1144/GSL.SP.1989.043.01.24 --- F. Mengel and T. Rivers: Thermotectonic evolution of proterozoic and reworked Archaean terranes along the Nain-Churchill boundary in the Saglek Area, northern Labrador / Geological Society, London, Special Publications, 43:319-324, doi:10.1144/GSL.SP.1989.043.01.25 --- Motoyoshi Yoichi, Satoshi Matsubara, and Hiroharu Matsueda: P-T evolution of the granulite-facies rocks of the Lützow-Holm Bay region, East Antarctica / Geological Society, London, Special Publications, 43:325-329, doi:10.1144/GSL.SP.1989.043.01.26 --- H. R. Rollinson: Garnet—orthopyroxene thermobarometry of granulites from the north marginal zone of the Limpopo belt, Zimbabwe / Geological Society, London, Special Publications, 43:331-335, doi:10.1144/GSL.SP.1989.043.01.27 --- Volker Schenk: P-T-t path of the lower crust in The Hercynian fold belt of southern Calabria / Geological Society, London, Special Publications, 43:337-342, doi:10.1144/GSL.SP.1989.043.01.28 --- Daniel Vielzeuf and Christian Pin: Geodynamic implications of granulitic rocks in the Hercynian belt / Geological Society, London, Special Publications, 43:343-348, doi:10.1144/GSL.SP.1989.043.01.29 --- R. G. Warren and B. J. Hensen: The P-T evolution of the Proterozoic Arunta Block, central Australia, and Implications for tectonic evolution / Geological Society, London, Special Publications, 43:349-355, doi:10.1144/GSL.SP.1989.043.01.30 --- D. J. Waters: Metamorphic evidence for the heating and cooling path of Namaqualand granulites / Geological Society, London, Special Publications, 43:357-363, doi:10.1144/GSL.SP.1989.043.01.31 --- I. S. Buick and T. J. B. Holland: The P-T-t path associated with crustal extension, Naxos, Cyclades, Greece / Geological Society, London, Special Publications, 43:365-369, doi:10.1144/GSL.SP.1989.043.01.32 --- M. Franceschelli, I. Memmi, F. Pannuti, and C. A. Ricci: Diachronous metamorphic equilibria in the Hercynian basement of northern Sardinia, Italy / Geological Society, London, Special Publications, 43:371-375, doi:10.1144/GSL.SP.1989.043.01.33 --- P. K. Verma: The Himalayan metamorphism / Geological Society, London, Special Publications, 43:377-383, doi:10.1144/GSL.SP.1989.043.01.34 --- A. J. Barker and M. W. Anderson: The Caledonian structural—metamorphic evolution of south Troms, Norway / Geological Society, London, Special Publications, 43:385-390, doi:10.1144/GSL.SP.1989.043.01.35 --- Kevin W. Burton, Alan P. Boyle, Wendy L. Kirk, and Roger Mason: Pressure, temperature and structural evolution of the Sulitjelma fold-nappe, central Scandinavian Caledonides / Geological Society, London, Special Publications, 43:391-411, doi:10.1144/GSL.SP.1989.043.01.36 --- A. H. N. Rice, R.

Note: Contents: Preface / Olav Orheim. - General report of the expedition / Olav Orheim. - Geodetic-topographic measurements in Dronning Maud Land and Bouvetøya / Trond Eiken & Knut Svendsen. - Ornithological investigations in Mühlig-Hofmannfjella, Dronning Maud Land / Fridtjof Mehlum, Claus Bech & Svein Haftorn. - Geology of Gjelsvikfjella and Western Mühlig-Hofmannfjella / Yoshihide Ohta & Bjørn Tørudbakken. - Botany of Gjelsvikfjella and Mühlig-Hofmannfjella, Dronning Maud Land / Torstein Engelskjøn. - Terrestrial invertebrates of Mühlig-Hofmannfjella / Lauritz Sømme. - Meteorological and glaciological studies in Dronning Maud Land / Yngvar Gjessing. - Geological and paleomagnetic research in Vestfjella, Dronning Maud Land / Harald Furnes & Reidar Løvlie. - Sedimentological research in northwestern part of Dronning Maud Land / Snorre Olaussen. - Geomorphological and glaciological observations in Vestfjella, Dronning Maud Land / Stig Jonsson. - Geophysical studies in the southern Weddell Sea / Kristen Haugland & Yngve Kristoffersen. - Marine geological studies on the Weddell Sea shelf / Anders Solheim & Yngve Kristoffersen. - Radiolaria in surface plankton collected on trans-Atlantic crossing of NARE 1984/85 / Kjell R. Bjørklund. - Hydrographic observations on the southern Weddell Sea shelf break / Arne Foldvik & Tor Gammelsrød. - Iceberg research and other glaciological studies from K/V "Andenes" / Monica Kristensen & Olav Orheim.

Note: Contents 1 Some Basic Relations 1.1 Natural Parameters and Observables 1.2 Propagation of Electromagnetic Waves 1.3 Waves at Boundaries Between Different Media 2 Spectral Lines of Atmospheric Gases 2.1 Resonant Frequencies of Molecules 2.2 Widths of Spectral Lines 2.3 Applications to the Earth's Atmosphere 3 Spectral Properties of Condensed Matter 3.1 Elementary Theory of Organic Dyes 3.2 Chlorophyll and Spectral Properties of Plants 3.3 Polarization of the Media and Dispersion of Radiation 4 Scattering of Radiation 4.1 Light Scattering by Molecules 4.2 Scattering of Radiation by Macroscopic Particles 4.3 Backscattering from Rough Surfaces 5 Transport of Radiation 5.1 The Equation of Radiative Transfer 5.2 Kirchhoff's Law and Radiometry 5.3 Radiometric Observation of Atmospheric Parameters and the Inversion of Remotely Sensed Data References Subject Index