ALBERT

Note: Contents: About the author. - About the technical reviewer. - Acknowledgments. - Introduction. - Chapter 1: Getting R and getting started. - Chapter 2: Programming in R. - Chapter 3: Writing reusable functions. - Chapter 4: Summary statistics. - Chapter 5: Creating Tables and graphs. - Chapter 6: Discrete probability distributions. - Chapter 7: Computing normal probabilities. - Chapter 8: Creating confidence intervals. - Chapter 9: Performing t tests. - Chapter 10: One-way analysis of variance. - Chapter 11: Advanced analysis of variance. - Chapter 12: Correlation and regression. - Chapter 13: Multiple regression. - Chapter 14: Logistic regression. - Chapter 15: Chi-square tests. - Chapter 16: Nonparametric tests. - Chapter 17: Using R for simulation. - Chapter 18: The 'new' statistics: resampling and bootstrapping. - Chapter 19: Making an R package. - Chapter 20: The R commander package. - Index

Note: Zugl.: Stockholm, Univ., Diss., 2013

Note: Contents: Preface. - 1 Introduction and datatypes. - 1.1 Why ordination?. - 1.2 Datatypes. - 1.3 Data transformation and standardisation. - 1.4 Missing values. - 1.5 Types of analyses. - 2 Using Canoco 5. - 2.1 Philosophy of Canoco 5. - 2.2 Data import and editing. - 2.3 Defining analyses. - 2.4 Visualising results. - 2.5 Beware, CANOCO 4.x users!. - 3 Experimental design. - 3.1 Completely randomised design. - 3.2 Randomised complete blocks. - 3.3 Latin square design. - 3.4 Pseudo replicates. - 3.5 Combining more than one factor. - 3.6 Following the development of objects in time: repeated observations. - 3.7 Experimental and observational data. - 4 Basics of gradient analysis. - 4.1 Techniques of gradient analysis. - 4.2 Models of response to gradients. - 4.3 Estimating species optima by weighted averaging. - 4.4 Calibration. - 4.5 Unconstrained ordination. - 4.6 Constrained ordination. - 4.7 Basic ordination techniques. - 4.8 Ordination axes as optimal predictors. - 4.9 Ordination diagrams. - 4.10 Two approaches. - 4.11 Testing significance of the relation with explanatory variables. - 4.12 Monte Carlo permutation tests for the significance of regression. - 4.13 Relating two biotic communities. - 4.14 Community composition as a cause: using reverse analysis. - 5.1 Permutation tests: the philosophy. - 5.2 Pseudo-F statistics and significance. - 5.3 Testing individual constrained axes. - 5.4 Tests with spatial or temporal constraints. - 5.5 Tests with hierarchical constraints. - 5.6 Simple versus conditional effects and stepwises election. - 5.7 Variation partitioning. - 5.8 Significance adjustment for multiple tests. - 6 Similarity measures and distance-based methods. - 6.1 Similarity measures for presence-absence data. - 6.2 Similarity measures for quantitative data. - 6.3 Similarity of cases versus similarity of communities. - 6.4 Similarity between species in trait values. - 6.5 Principal coordinates analysis. - 6.6 Constrained principal coordinates analysis (db-RDA). - 6.7 Non-metric multidimensional scaling. - 6.8 Mantel test. - 7.1 Example data set properties. - 7.2 Non-hierarchical classification (K-means clustering). - 7.3 Hierarchical classification. - 7.4 TWINSPAN. - 8 Regression methods. - 8.1 Regression models in general. - 8.2 General linear model: terms. - 8.3 Generalized linear models (GLM). - 8.4 Loess smoother. - 8.5 Generalized additive models (GAM). - 8.6 Mixed-effect models (LMM, GLMM and GAMM). - 8.7 Classification and regression trees (CART). - 8.8 Modelling species response curves with Canoco. - 9 Interpreting community composition with functional traits. - 9.1 Required data. - 9.2 Two approaches in traits - environment studies. - 9.3 Community-based approach. - 9.4 Species-based approach. - 10 Advanced use of ordination. - 10.1 Principal response curves (PRC). - 10.2 Separating spatial variation. - 10.3 Linear discriminant analysis. - 10.4 Hierarchical analysis of community variation. - 10.5 Partitioning diversity indices into alpha and beta components. - 10.6 Predicting community composition. - 11 Visualising multivariate data. - 11.1 Reading ordination diagrams of linear methods. - 11.2 Reading ordination diagrams of unimodal methods. - 11.3 Attribute plots. - 11.4 Visualising classification, groups, and sequences. - 11.5 T-value biplot. - 12 Case study 1: Variation in forest bird assemblages. - 12.1 Unconstrained ordination: portraying variation in bird community. - 12.2 Simple constrained ordination: the effect of altitude on bird community. - 12.3 Partial constrained ordination: additional effect of other habitat characteristics. - 12.4 Separating and testing alpha and beta diversity. - 13 Case study 2: Search for community composition patterns and their environmental correlates: vegetation of spring meadows. - 13.1 Unconstrained ordination. - 13.2 Constrained ordination. - 13.3 Classification. - 13.4 Suggestions for additional analyses. - 13.5 Comparing two communities. - 14 Case study 3: Separating the effects of explanatory variables. - 14.1 Introduction. - 14.2 Data. - 14.3 Changes in species richness and composition. - 14.4 Changes in species traits. - 15 Case study 4: Evaluation of experiments in randomised complete blocks. - 15.1 Introduction. - 15.2 Data. - 15.3 Analysis. - 15.4 Calculating ANOVA using constrained ordination. - 16 Case study 5: Analysis of repeated observations of species composition from a factorial experiment. - 16.1 Introduction. - 16.2 Experimental design. - 16.3 Data coding and use. - 16.4 Univariate analyses. - 16.5 Constrained ordinations. - 16.6 Principal response curves. - 16.7 Temporal changes across treatments. - 16.8 Changes in composition of functional traits. - 17 Case study 6: Hierarchical analysis of crayfish community variation. - 17.1 Data and design. - 17.2 Differences among sampling locations. - 17.3 Hierarchical decomposition of community variation. - 18 Case study 7: Analysis of taxonomic data with discriminant analysis and distance-based ordination. - 18.1 Data. - 18.2 Summarising morphological data with PCA. - 18.3 Linear discriminant analysis of morphological data. - 18.4 Principal coordinates analysis of AFLP data. - 18.5 Testing taxon differences in AFLP data using db-RDA. - 18.6 Taking populations into account. - 19 Case study 8: Separating effects of space and environment on oribatid community with PCNM. - 19.1 Ignoring the space. - 19.2 Detecting spatial trends. - 19.3 All-scale spatial variation of community and environment. - 19.4 Variation partitioning with spatial predictors. - 19.5 Visualising spatial variation. - 20 Case study 9: Performing linear regression with redundancy analysis. - 20.1 Data. - 20.2 Linear regression using program R. - 20.3 Linear regression with redundancy analysis. - 20.4 Fitting generalized linear models in Canoco. - Appendix A Glossary. - Appendix B Sample data sets and projects. - Appendix C Access to Canoco and overview of other software. - Appendix D Working with R. - References. - Index to useful tasks in Canoco 5. - Subject index.

Note: Contents: Series foreword. - Preface. - Select bibliography. - The authors. - 1 Observed flow in the Earth's midlalitudes. - 1.1 Vertical structure. - 1.2 Horizontal structure. - 1.3 Transient activity. - 1.4 Scales of motion. - 1.5 The Norwegian frontal model of cyclones. - Theme 1 Fluid dynamics of the midlatitude atmosphere. - 2 Fluid dynamics in an inertial frame of reference. - 2.1 Definition of fluid. - 2.2 Flow variables and the continuum hypothesis. - 2.3 Kinematics: characterizing fluid flow. - 2.4 Governing physical principles. - 2.5 Lagrangian and Eulerian perspectives. - 2.6 Mass conservation equation. - 2.7 First Law of Thermodynamics. - 2.8 Newton's Second Law of Motion. - 2.9 Bernoulli's Theorem. - 2.10 Heating and water vapour. - 3 Rotating frames of reference. - 3.1 Vectors in a rotating frame of reference. - 3.2 Velocity and Acceleration. - 3.3 The momentum equation in a rotating frame. - 3.4 The centrifugal pseudo-force. - 3.5 The Coriolis pseudo-force. - 3.6 The Taylor-Proudman theorem. - 4 The spherical Earth. - 4.1 Spherical polar coordinates. - 4.2 Scalar equations. - 4.3 The momentum equations. - 4.4 Energy and angular momentum.- 4.5 The shallow atmosphere approximation. - 4.6 The beta effect and the spherical Earth. - 5 Scale analysis and its applications. - 5.1 Principles of scaling methods. - 5.2 The use of a reference atmosphere. - 5.3 The horizontal momentum equations. - 5.4 Natural coordinates, geostrophic and gradient wind balance. - 5.5 Vertical motion. - 5.6 The vertical momentum equation. - 5.7 The mass continuity equation. - 5.8 The thermodynamic energy equation. - 5.9 Scalings for Rossby numbers that are not small. - 6 Alternative vertical coordinates. - 6.1 A general vertical coordinate. - 6.2 Isobaric coordinates. - 6.3 Other pressure-based vertical coordinates. - 6.4 Isentropic coordinates. - 7 Variations of density and the basic equations. - 7.1 Boussinesq approximation. - 7.2 Anelastic approximation. - 7.3 Stratification and gravity waves. - 7.4 Balance, gravity waves and Richardson number. - 7.5 Summary of the basic equation sets. - 7.6 The energy of atmospheric motions. - Theme 2 Rotation in the atmosphere. - 8 Rotation in the atmosphere. - 8.1 The concept of vorticity. - 8.2 The vorticity equation. - 8.3 The vorticity equation for approximate sets of equations. - 8.4 The solenoidal term. - 8.5 The expansion/contraction term. - 8.6 The stretching and tilting terms. - 8.7 Friction and vorticity. - 8.8 The vorticity equation in alternative vertical coordinates. - 8.9 Circulation. - 9 Vorticity and the barotropic vorticity equation. - 9.1 The barotropic vorticity equation. - 9.2 Poisson's equation and vortex interactions. - 9.3 Flow over a shallow hill. - 9.4 Ekman pumping. - 9.5 Rossby waves and the beta plane. - 9.6 Rossby group velocity. - 9.7 Rossby ray tracing. - 9.8 Inflexion point instability. - 10 Potential vorticity. - 10.1 Potential vorticity. - 10.2 Alternative derivations of Ertel's theorem. - 10.3 The principle of invertibility. - 10.4 Shallow water equation potential vorticity. - 11 Turbulence and atmospheric flow. - 11.1 The Reynolds number . - 11.2 Three-dimensional flow at large Reynolds number. - 11.3 Two-dimensional flow at large Reynolds number. - 11.4 Vertical mixing in a stratified fluid. - 11.5 Reynolds stresses. - Theme 3 Balance in atmospheric flow. - 12 Quasi-geostrophic flows. - 12.1 Wind and temperature in balanced flows. - 12.2 The quasi-geostrophic approximation. - 12.3 Quasi-geostrophic potential vorticity. - 12.4 Ertel and quasi-geostrophic potential vorticities. - 13 The omega equation. - 13.1 Vorticity and thermal advection form. - 13.2 Sutcliffe Form. - 13.3 Q-vector form. - 13.4 Ageostrophic flow and the maintenance of balance. - 13.5 Balance and initialization. - 14 Linear theories of baroclinic instability. - 14.1 Qualitative discussion. - 14.2 Stability analysis of a zonal flow. - 14.3 Rossby wave interpretation of the stability conditions. - 14.4 The Eady model. - 14.5 The Charney and other quasi-geostrophic models. - 14.6 More realistic basic states. - 14.7 Initial value problem. - 15 Frontogenesis. - 15.1 Frontal scales. - 15.2 Ageostrophic circulation. - 15.3 Description of frontal collapse. - 15.4 The semi-geostrophic Eady model. - 15.5 The confluence model. - 15.6 Upper-level frontogenesis. - 16 The nonlinear development of baroclinic waves. - 16.1 The nonlinear domain. - 16.2 Semi-geostrophic baroclinic waves. - 16.3 Nonlinear baroclinic waves on realistic jetson the sphere. - 16.4 Eddy transports and zonal mean flow changes. - 16.5 Energetics of baroclinic waves. - 17 The potential vorticity perspective. - 17.1 Setting the scene. - 17.2 Potential vorticity and vertical velocity. - 17.3 Life cycles of some baroclinic waves. - 17.4 Alternative perspectives. - 17.5 Midlatitude blocking. - 17.6 Frictional and heating effects. - 18 Rossby wave propagation and potential vorticity mixing. - 18.1 Rossby wave propagation. - 18.2 Propagation of Rossby waves into the stratosphere. - 18.3 Propagation through a slowly varying medium. - 18.4 The Eliassen-Palm flux and group velocity. - 18.5 Baroclinic life cycles and Rossby waves. - 18.6 Variations of amplitude. - 18.7 Rossby waves and potential vorticity steps. - 18.8 Potential vorticity steps and the Rhines scale. - Appendices. - Appendix A: Notation. - Appendix B: Revision of vectors and vector calculus. - B.1 Vectors and their algebra. - B.2 Products of vectors. - B.3 Scalar fields and the grad operator. - B.4 The divergence and curl operators. - B.5 Gauss' and Stokes' theorems. - B.6 Some useful vector identities. - Index.

Note: Part I: Introduction to Data Mining Chapter 1 - What's It All About? Chapter 2 - Input: Concepts, Instances, and Attributes Chapter 3 - Output: Knowledge Representation Chapter 4 - Algorithms: The Basic Methods Chapter 5 - Credibility: Evaluating What's Been Learned Part II: Advanced Data Mining Chapter 6 - Implementations: Real Machine Learning Schemes Chapter 7 - Data Transformations Chapter 8 - Ensemble Learning Chapter 9 - Moving on: Applications and Beyond Part III: The Weka Data Mining Workbench Chapter 10 - Introduction to Weka Chapter 11 - The Explorer Chapter 12 - The Knowledge Flow Interface Chapter 13 - The Experimenter Chapter 14 - The Command-Line Interface Chapter 15 - Embedded Machine Learning Chapter 16 - Writing New Learning Schemes Chapter 17 - Tutorial Exercises for the Weka Explorer

Note: Contents Foreword Synopsis Introduction Authority Purpose and scope SIPRE organization and activities Cryological problems and military end points Present state of knowledge General Introduction Terminology and classification Snow and ice Introduction Physical properties and geometry Density and water equivalent Water holding or storage capacity of snow Water transmission through snow Bound water Crystallography and metamorphism Porosity and permeability Mechanical properties Elasto-plastic properties Friction Strength Hardness Electromagnetic properties Dielectric constants Conductivity Magnetic properties Piezoelectric and pyroelectric effects Triboelectricity Freezing potential Thermodynamic properties Thermal properties Radiation Phase relations Engineering problems Snow and ice removal Snow compaction Snow draft control Trafficability Temporary structures Snow melt and runoff Maps Frozen ground and permafrost Introduction Frost action Theory of frost action Cyclic freezing and thawing Manifestations of frost actions Frost heave on freezing Reduction in load-carrying capacity on thawing Soil movements on slopes Ground properties affecting or affected by frost action Composition, grain size, and grain-size distribution Soil-moisture-movement properties Thermal properties Structure of unfrozen ground Structure of frozen ground Strength of frozen ground Freezing point Ground conditions affecting or affected by frost action Density Degree of saturation Interrelation of climate, position, vegetation, and soil Frost phenomena Climate Position Vegetation Engineering problems Excavation and replacement Subsurface drainage Base courses Insulation courses Surface icing and its control Trafficability Building foundations Maps Current related research Introduction Military cryological research in United States and Canada Non-military cryological research in the Western World Research needed Introduction Subjects for fundamental research Subjects for applied research

Note: Foreword; Acknowledgements; List of participating members of the Expert Group; CONTENTS; List of tables; List of figures; Executive summary; Part I: Methodology and Data on Levelised Costs for Generating Electricity; Chapter 1 Introduction and context; Chapter 2 Methodology, conventions and key assumptions; Chapter 3 Technology overview; Chapter 4 Country-by-country data on electricity generating costs for different technologies; Part 2: Sensitivity analyses and boundary issues; Chapter 5 Median case; Chapter 6 Sensitivity analyses. , Chapter 7 System integration aspects of variable renewable power generationChapter 8 Financing issues; Chapter 9 Levelised costs and the working of actual power markets; Chapter 10 Carbon capture and storage; Chapter 11 Synthesis report on other studies of the levelised cost of electricity; ANNEXES; Annex 1 Issues concerning data from non-OECD countries and assumptions forthe electricity generating cost calculations; Annex 2 List of abbreviations;.

Note: Contents: Preface. - 1 Cosmic rays. - 1.1 Origin and nature of cosmic rays. - 1.2 Interaction with magnetic fields. - 1.3 Interactions with the Earth's atmosphere. - 1.4 Interactions with the Earth's surface. - 1.5 Production of cosmogenic nuclides. - 1.6 Detection of cosmic rays. - 2 Cosmogenic nuclides. - 2.1 'Useful' cosmogenic nuclides. - 2.2 Stable cosmogenic nuclides. - 2.3 Cosmogenic radionuclides. - 2.4 Sample preparation. - 2.5 Analytical methods. - 3 Production rates and scaling factors. - 3.1 Deriving production rates. - 3.2 Scaling factors. - 3.3 Building scaling factors. - 4 Application of cosmogenic nuclldes to Earth surface sciences. - 4.1 Exposure dating. - 4.2 Burial dating. - 4.3 Erosion/denudation rates. - 4.4 Uplift rates. - 4.5 Soil dynamics. - 4.6 Dealing with uncertainty. - Appendix A: Sampling checklist. - Appendix B: Reporting of cosrnogenic-nudide data for exposure age and erosion rate determinations. - References. - Index.

Note: Contents Preface 1 Introduction 1.1 The necessity for measurements 1.2 Definition of a measurement 1.3 Historical aspects 2 Measurement basics 2.1 Overview of methods 2.1.1 Direct and indirect methods 2.1.2 In-situ and remote sensing methods 2.1.3 Instantaneous and integrating methods 2.1.4 On-line and off-line methods, post-processing 2.1.5 Flux measurements 2.2 Main measurement principles 2.3 Measurements by inversion 2.3.1 Inversion with one variable 2.3.2 Inversion with more than one variable 2.3.3 Well-posed and ill-posed problems 2.4 Measurement instruments 2.4.1 Active and passive instruments 2.4.2 Analogue and digital instruments 2.5 Measurement platforms 2.6 Measurement variables 2.7 General characteristics of measured data 2.8 Data logging 2.9 Quality assurance/quality control 3 In-situ measurements of state variables 3.1 Thermometers 3.1.1 Liquid-in-glass thermometers 3.1.2 Bimetal thermometers 3.1.3 Resistance thermometers, thermistors 3.1.4 Thermocouples, thermopiles 3.1.5 Sonic thermometry 3.1.6 Measurement of infrared radiation 3.1.7 Soil thermometer 3.1.8 Recommendations for temperature measurements 3.2 Measuring moisture 3.2.1 Hygrometer 3.2.2 Psychrometers 3.2.3 Dewpoint determination 3.2.4 Capacitive methods 3.2.5 Recommendations for humidity measurements 3.3 Pressure sensors 3.3.1 Barometers 3.3.2 Hypsometers 3.3.3 Electronic barometers 3.3.4 Microbarometer 3.3.5 Pressure balance 3.3.6 Recommendations for pressure measurements 3.4 Wind measurements 3.4.1 Estimation from visual observations 3.4.2 Wind direction 3.4.3 Cup anemometer 3.4.4 Pressure tube 3.4.5 Hot wire anemometer 3.4.6 Ultrasonic anemometer 3.4.7 Propeller anemometer 3.4.8 Recommendations for wind measurements 4 In-situ methods for observing liquid water and ice 4.1 Precipitation 4.1.1 Rain sensors (Present Weather Sensors) 4.1.2 Rain gauges (totalisators) 4.1.3 Pluviographs 4.1.4 Disdrometer 4.1.5 Special instruments for snow 4.1.6 Recommendations for precipitation measurements 4.2 Soil moisture 4.2.1 Gravimetric methods 4.2.2 Neutron probes 4.2.3 Time domain reflectrometry (TDR) 4.2.4 Tensiometers 4.2.5 Resistance block tensiometer 4.2.6 Recommendations for soil moisture measurements 5 In-situ measurement of trace substances 5.1 Measurement of trace gases 5.1.1 Physical methods 5.1.2 Chemical methods 5.1.3 Recommendations for the measurement of trace gases 5.2 Particle measurements 5.2.1 Determination of the particle mass 5.2.2 Measuring particle size distributions 5.2.3 Measurement of the chemical composition of particles 5.2.4 Measuring the particle structure 5.2.5 Saltiphon 5.2.6 Recommendations for particle measurements 5.3 Olfactometry 5.4 Radioactivity 5.4.1 Counter tubes 5.4.2 Scintillation counters 5.4.3 Recommendations for radioactivity monitoring 6 In-situ flux measurements 6.1 Measuring radiation 6.1.1 Measuring direct solar radiation 6.1.2 Measuring shortwave irradiance 6.1.3 Measuring longwave irradiance 6.1.4 Measuring the total irradiance 6.1.5 Measuring chill 6.1.6 Sunshine recorder 6.1.7 Recommendations for radiation measurements 6.2 Visual range 6.3 Micrometeorological flux measurements 6.3.1 Cuvettes 6.3.2 Surface chambers 6.3.3 Mass balance method 6.3.4 Inferential method 6.3.5 Gradient method 6.3.6 Bowen-ratio method 6.3.7 Flux variance method 6.3.8 Dissipation method 6.3.9 Eddy covariance method 6.3.10 Eddy accumulation methods 6.3.11 Disjunct eddy covariance method 6.3.12 Recommendations for the measurement of turbulent fluxes 6.4 Evaporation Atmometers 6.4.2 Lysimeters 6.4.3 Evaporation pans and tanks 6.4.4 Recommendations for evaporation measurements 6.5 Soil heat flux 6.6 Inverse emission flux modelling 7 Remote sensing methods 7.1 Basics of remote sensing 7.2 Active sounding methods 7.2.1 RADAR 7.2.2 Windprofilers 7.2.3 SODAR 7.2.4 RASS 7.2.5 LIDAR 7.2.6 Further LIDAR techniques 7.3 Active path-averaging methods 7.3.1 Scintillometers 7.3.2 FTIR 7.3.3 DOAS 7.3.4 Quantum cascade laser 7.4 Passive methods 7.4.1 Radiometers 7.4.2 Photometers 7.4.3 Infrared-Interferometer 7.5 Tomography 7.5.1 Simultaneous Iterative Reconstruction Technique 7.5.2 Algebraic Reconstruction Technique (ART) 7.5.3 Smooth Basis Function Minimization (SBFM) 8 Remote sensing of atmospheric state variables 8.1 Temperature 8.1.1 Near-surface temperatures 8.1.2 Temperature profiles 8.2 Gaseous humidity 8.2.1 Integral water vapour content 8.2.2 Vertical profiles 8.2.3 Large-scale humidity distribution 8.3 Wind and turbulence 8.3.1 Small-scale near-surface turbulence 8.3.2 Horizontal wind fields 8.3.3 Vertical wind profiles 8.3.4 Turbulence profiles 8.3.5 Cloud winds 8.3.6 Ionospheric winds 8.4 Mixing-layer heights 8.4.1 LIDAR 8.4.2 SODAR 8.5 Turbulent fluxes 8.6 Ionospheric electron densities 8.7 Recommendations for remote sensing of state variables 9 Remote sensing of water and ice 9.1 Precipitation 9.1.1 RADAR 9.1.2 Precipitation measurements from satellites 9.2 Clouds 9.2.1 Cloud base 9.2.2 Cloud cover 9.2.3 Cloud movement 9.2.4 Water content 9.3 Recommendations for remote sensing of liquid water and ice 10 Remote sensing of trace substances 10.1 Trace gases 10.1.1 Horizontal path-averaging methods 10.1.2 Vertical column densities 10.1.3 Sounding methods 10.2 Aerosols 10.2.1 Aerosol optical depths (AOD) 10.2.2 Sounding methods 10.3 Recommendations for remote sensing of trace substances 11 Remote sensing of surface properties 11.1 Properties of the solid surface 11.1.1 Surface roughness 11.1.2 Land surface temperature 11.1.3 Soil moisture 11.1.4 Vegetation 11.1.5 Snow and ice 11.1.6 Fires 11.2 Properties of the ocean surface 11.2.1 Altitudes of the sea surface 11.2.2 Wave heights 11.2.3 Sea surface temperature 11.2.4 Salinity 11.2.5 Ocean currents 11.2.6 Ice cover, size of ice floes 11.2.7 Algae and suspended sediment concentrations 12 Remote sensing of electrical phenomena 12.1 Spherics 12.1.1 Directional analyses 12.1.2 Distance analyses 12.2 Optical lightning detection 13 Outlook on new developments Literature Subject index Appendix: Technical guidelines and standards Index to the Appendix

Note: Contents: F–1. GLACIERS OF THE FORMER SOVIET UNION / VLADIMIR M. KOTLYAKOV, with contributions from A.M. DYAKOVA (Siberia), V.S. KORYAKIN (Russian Arctic Islands), V.I. KRAVTSOVA (Caucasus, Altay), G.B. OSIPOVA (Tien Shan), G.M. VARNAKOVA (Pamirs and Alai Range), V.N. VINOGRADOV (Kamchatka), O.N. VINOGRADOV (Caucasus), and N.M. ZVERKOVA (Ural Mountains and Taymyr Peninsula) Sections on FLUCTUATIONS OF GLACIERS OF THE CENTRAL CAUCASUS AND GORA EL’BRUS (With a subsection on THE GLACIOLOGICAL DISASTER IN NORTH OSETIYA / VLADIMIR M. KOTLYAKOV, O.V. ROTOTAEVA, and G.A. NOSENKO INVESTIGATIONS OF THE FLUCTUATIONS OF SURGE-TYPE GLACIERS IN THE PAMIRS BASED ON OBSERVATIONS FROM SPACE / VLADIMIR M. KOTLYAKOV, G.B. OSIPOVA, and D.G. TSVETKOV THE GLACIOLOGY OF THE RUSSIAN HIGH ARCTIC FROM LANDSAT IMAGERY / J.A. DOWDESWELL, E.K. DOWDESWELL, M. WILLIAMS, and A.F. GLAZOVSKII F–2. GLACIERS OF CHINA / SHI YAFENG, MI DESHENG, YAO TANDONG, ZENG QUNZHU, and LIU CHAOHAI F–3 GLACIERS OF AFGHANISTAN / JOHN E. SHRODER , JR ., and MICHAEL P. BISHOP F–4 GLACIERS OF PAKISTAN / JOHN E. SHRODER , JR ., and MICHAEL P. BISHOP F–5 GLACIERS OF INDIA / CHANDER P. VOHRA Updated supplement on A STUDY OF SELECTED GLACIERS UNDER THE CHANGING CLIMATE REGIME / SYED IQBAL HASNAIN, RAJESH KUMAR , SAFARAZ AHMAD, and SHRESTH TAYAL F–6 GLACIERS OF NEPAL — GLACIER DISTRIBUTION IN THE NEPAL HIMALAYA WITH COMPARISON TO THE KARAKORAM RANGE / KEIJI HIGUCHI, OKITSUGU WATANABE, HIROJI FUSHIMI, SHUHEI TAKENAKA, and AKIO NAGOSHI, Supplement by YUTAKA AGETA F–7 GLACIERS OF BHUTAN / SHUJI IWATA F–8 THE PALEOENVIRONMENTAL RECORD PRESERVED IN MIDDLE-LATITUDE, HIGH-MOUNTAIN GLACIERS: AN OVERVIEW OF U.S. GEOLOGICAL SURVEY RESEARCH IN CENTRAL ASIA AND THE UNITED STATES / L. DeWAYNE CECIL, DAVID L. NAFTZ, PAUL F. SCHUSTER , DAVID D. SUSONG, and JAROMY R . GREEN

Note: Contents: List of Contributors. - Preface. - Part I. Introduction: 1. Applications and uses of diatoms: prologue ; 2. The diatoms: a primer ; 3. Numerical methods for the analysis of diatom assemblage data ; Part II. Diatoms as indicators of environmental change in flowing waters and lakes: 4. Assessing environmental conditions in rivers and streams with diatoms ; 5. Diatoms as indicators of long-term environmental change in rivers, fluvial lakes and impoundments ; 6. Diatoms as indicators of surface-water acidity ; 7. Diatoms as indicators of lake eutrophication ; 8. Diatoms as indicators of environmental change in shallow lakes ; 9. Diatoms as indicators of water-level change in freshwater lakes ; 10. Diatoms as indicators of hydrologic and climatic change in saline lakes ; 11. Diatoms in ancient lakes ; Part III. Diatoms as Indicators in Arctic, Antarctic and alpine lacustrine environments: 12. Diatoms as indicators of environmental change in subarctic and alpine regions ; 13. Freshwater diatoms as indicators of environmental change in the High Arctic ; 14. Diatoms as indicators of environmental change in Antarctic and subantarctic freshwaters ; Part IV. Diatoms as indicators in marine and estuarine environments: 15. Diatoms and environmental change in large brackish-water ecosystems ; 16. Applied diatom studies in estuaries and shallow coastal environments ; 17. Estuarine paleoenvironmental reconstructions using diatoms ; 18. Diatoms on coral reefs and in tropical marine lakes ; 19. Diatoms as indicators of former sea levels, earthquakes, tsunamis and hurricanes ; 20. Marine diatoms as indicators of modern changes in oceanographic conditions ; 21. Holocene marine diatom records of environmental change ; 22. Diatoms as indicators of paleoceanographic events ; 23. Reconsidering the meaning of biogenic silica accumulation rates in the glacial Southern Ocean ; Part V. Other applications: 24. Diatoms of aerial habitats ; 25. Diatoms as indicators of environmental change in wetlands and peatlands ; 26. Tracking fish, seabirds, and wildlife population dynamics with diatoms and other limnological indicators ; 27. Diatoms and archaeology ; 28. Diatoms in oil and gas exploration ; 29. Forensic science and diatoms ; 30. Toxic marine diatoms ; 31. Diatoms as markers of atmospheric transport ; 32. Diatoms as nonnative species ; 33. Diatomite ; 34. Stable isotopes from diatom silica ; 35. Diatoms and nanotechnology: early history and imagined future as seen through patents ; Part IV. Conclusions: 36. Epilogue: a view to the future ; Glossary, acronyms, and abbreviations ; Index.

Note: In kyrillischer Schrift , Zusammenfassungen in englischer Sprache , Inhaltsverzeichnis in englischer Sprache

Note: PART I: BIOSPHERE - 1. Forest disturbance assessment using satellite data of moderate and low resolution / M. A. Korets, V. A. Ryzhkova, A. I. Sukhinin, S. A. Bartalev and I. V. Danilova 2. Fire / climate interactions in Siberia / Heiko Balzter, Kevin Tansey, Jorg Kaduk, Charles George, France Gerard, Maria Cuevas Gonzalez, Anatoly Sukhinin and Evgeni Ponomarev 3. Long-term dynamics of mixed fir-aspen forests in West Sayan (Altai-Sayan Ecoregion) / D. M. Ismailova and D. I. Nazimova 4. Evidence of evergreen conifers invasion into larch dominated forests during recent decades / V. I. Kharuk, K. J. Ranson and M. L. Dvinskaya 5. Potential climate-induced vegetation change in Siberia in the 21st century / N. M. Tchebakova , E. I. Parfenova, and A. J. Soja 6. Wildfire dynamics in mid-Siberian larch dominated forests / V. I. Kharuk, K. J. Ranson and M. L. Dvinskaya 7. Dendroclimatological evidence of climate changes across Siberia / Vladimir V. Shishov, Eugene A. Vaganov 8. Siberian pine and larch response to climate warming in the southern Siberian mountain forest: tundra ecotone / V. I. Kharuk, K. J. Ranson, M. L. Dvinskaya and S. T. Im PART II: HYDROSPHERE 9. Remote sensing of spring snowmelt in Siberia / A. Bartsch, W. Wagner and R. Kidd 10. Response of river runoff in the cryolithic zone of Eastern Siberia (Lena River Basin) to future climate warming / A. G. Georgiadi, I. P. Milyukova and E. A. Kashutina PART III: ATMOSPHERE 11. Investigating regional scale processes using remotely sensed atmospheric CO2 column concentrations from SCIAMACHY / M. P. Barkley, A. J. Hewitt and P. S. Monks 12. Climatic and geographic patterns of spatial distribution of precipitation in Siberia / A. Onuchin and T. Burenina PART IV: INFORMATION SYSTEMS 13. Interoperability, data discovery and access: the e-Infrastructures for Earth Sciences resources / Stefano Nativi, Christiana Schmullius, Lorenzo Bigagli and Roman Gerlach 14. Development of a web based information-computational infrastructure for the Siberia Integrated Regional Study / E. P. Gordov, A. Z. Fazliev, V. N. Lykosov, I. G. Okladnikov and A. G. Titov 15. Conclusions / Heiko Balzter. - Appendix. - Index.

Note: Contents Introduction Use of the deep-freeze as a cold laboratory Growing single crystals Creep tests Conclusions References cited

Note: Contents Preface to the Second Edition Preface to the First Edition 1. Images, Arrays, and Matrices 1.1 Multispectral Satellite Images 1.2 Algebra of Vectors and Matrices 1.2.1 Elementary Properties 1.2.2 Square Matrices 1.2.3 Singular Matrices 1.2.4 Symmetric, Positive Definite Matrices 1.2.5 Linear Dependence and Vector Spaces 1.3 Eigenvalues and Eigenvectors 1.4 Singular Value Decomposition 1.5 Vector Derivatives 1.6 Finding Minima and Maxima 1.7 Exercises 2. Image Statistics 2.1 Random Variables 2.1.1 Discrete Random Variables 2.1.2 Continuous Random Variables 2.1.3 Normal Distribution 2.2 Random Vectors 2.3 Parameter Estimation 2.3.1 Sampling a Distribution 2.3.2 Interval Estimation 2.3.3 Provisional Means 2.4 Hypothesis Testing and Sample Distribution Functions 2.4.1 Chi-Square Distribution 2.4.2 Student-t Distribution 2.4.3 F-Distribution 2.5 Conditional Probabilities, Bayes' Theorem, and Classification 2.6 Ordinary Linear Regression 2.6.1 One Independent Variable 2.6.2 More Than One Independent Variable 2.6.3 Regularization, Duality, and the Gram Matrix 2.7 Entropy and Information 2.7.1 Kullback-Leibler Divergence 2.7.2 Mutual Information 2.8 Exercises 3. Transformations 3.1 Discrete Fourier Transform 3.2 Discrete Wavelet Transform 3.2.1 Haar Wavelets 3.2.2 Image Compression 3.2.3 Multiresolution Analysis 3.2.3.1 Dilation Equation and Refinement Coefficients 3.2.3.2 Cascade Algorithm 3.2.3.3 Mother Wavelet 3.2.3.4 Daubechies D4 Scaling Function 3.3 Principal Components 3.3.1 Primal Solution 3.3.2 Dual Solution 3.4 Minimum Noise Fraction 3.4.1 Additive Noise 3.4.2 Minimum Noise Fraction Transformation in ENVI 3.5 Spatial Correlation 3.5.1 Maximum Autocorrelation Factor 3.5.2 Noise Estimation 3.6 Exercises 4. Filters, Kernels, and Fields 4.1 Convolution Theorem 4.2 Linear Filters 4.3 Wavelets and Filter Banks 4.3.1 One-Dimensional Arrays 4.3.2 Two-Dimensional Arrays 4.4 Kernel Methods 4.4.1 Valid Kernels 4.4.2 Kernel PCA 4.5 Gibbs-Markov Random Fields 4.6 Exercises 5. Image Enhancement and Correction 5.1 Lookup Tables and Histogram Functions 5.2 Filtering and Feature Extraction 5.2.1 Edge Detection 5.2.2 Invariant Moments 5.3 Panchromatic Sharpening 5.3.1 HSV Fusion 5.3.2 Brovey Fusion 5.3.3 PCA Fusion 5.3.4 DWT Fusion 5.3.5 A Trous Fusion 5.3.6 Quality Index 5.4 Topographic Correction 5.4.1 Rotation, Scaling, and Translation 5.4.2 Imaging Transformations 5.4.3 Camera Models and RFM Approximations 5.4.4 Stereo Imaging and Digital Elevation Models 5.4.5 Slope and Aspect 5.4.6 Illumination Correction 5.5 Image-Image Registration 5.5.1 Frequency-Domain Registration 5.5.2 Feature Matching 5.5.2.1 High-Pass Filtering 5.5.2.2 Closed Contours 5.5.2.3 Chain Codes and Moments 5.5.2.4 Contour Matching 5.5.2.5 Consistency Check 5.5.2.6 Implementation in IDL 5.5.3 Resampling and Warping 5.6 Exercises 6. Supervised Classification: Part 1 6.1 Maximum a Posteriori Probability 6.2 Training Data and Separability 6.3 Maximum Likelihood Classification 6.3.1 ENVI's Maximum Likelihood Classifier 6.3.2 Modified Maximum Likelihood Classifier 6.4 Gaussian Kernel Classification 6.5 Neural Networks 6.5.1 Neural Network Classifier 6.5.2 Cost Functions 6.5.3 Backpropagation 6.5.4 Overfitting and Generalization 6.6 Support Vector Machines 6.6.1 Linearly Separable Classes 6.6.1.1 Primal Formulation 6.6.1.2 Dual Formulation 6.6.1.3 Quadratic Programming and Support Vectors 6.6.2 Overlapping Classes 6.6.3 Solution with Sequential Minimal Optimization 6.6.4 Multiclass SVMs 6.6.5 Kernel Substitution 6.6.6 Modified SVM Classifier 6.7 Exercises 7. Supervised Classification: Part 2 7.1 Postprocessing 7.1.1 Majority Filtering 7.1.2 Probabilistic Label Relaxation 7.2 Evaluation and Comparison of Classification Accuracy 7.2.1 Accuracy Assessment 7.2.2 Model Comparison 7.3 Adaptive Boosting 7.4 Hyperspectral Analysis 7.4.1 Spectral Mixture Modeling 7.4.2 Unconstrained Linear Unmixing 7.4.3 Intrinsic End-Members and Pixel Purity 7.5 Exercises 8. Unsupervised Classification 8.1 Simple Cost Functions 8.2 Algorithms That Minimize the Simple Cost Functions 8.2.1 K-Means Clustering 8.2.2 Kernel K-Means Clustering 8.2.3 Extended K-Means Clustering 8.2.4 Agglomerative Hierarchical Clustering 8.2.5 Fuzzy K-Means Clustering 8.3 Gaussian Mixture Clustering 8.3.1 Expectation Maximization 8.3.2 Simulated Annealing 8.3.3 Partition Density 8.3.4 Implementation Notes 8.4 Including Spatial Information 8.4.1 Multiresolution Clustering 8.4.2 Spatial Clustering 8.5 Benchmark 8.6 Kohonen Self-Organizing Map 8.7 Image Segmentation 8.7.1 Segmenting a Classified Image 8.7.2 Object-Based Classification 8.7.3 Mean Shift 8.8 Exercises 9. Change Detection 9.1 Algebraic Methods 9.2 Postclassification Comparison 9.3 Principal Components Analysis 9.3.1 Iterated PCA 9.3.2 Kernel PCA 9.4 Multivariate Alteration Detection 9.4.1 Canonical Correlation Analysis 9.4.2 Orthogonality Properties 9.4.3 Scale Invariance 9.4.4 Iteratively Reweighted MAD 9.4.5 Correlation with the Original Observations 9.4.6 Regularization 9.4.7 Postprocessing 9.5 Decision Thresholds and Unsupervised Classification of Changes 9.6 Radiometrie Normalization 9.7 Exercises Appendix A: Mathematical Tools A.l Cholesky Decomposition A.2 Vector and Inner Product Spaces A.3 Least Squares Procedures A.3.1 Recursive Linear Regression A.3.2 Orthogonal Linear Regression Appendix B: Efficient Neural Network Training Algorithms B.1 Hessian Matrix B.1.1 R-Operator B.1.1.1 Determination of Rv{n} B.1.1.2 Determination of Rv{δo} B.1.1.3 Determination of Rv{δh} B.1.2 Calculating the Hessian B.2 Scaled Conjugate Gradient Training B.2.1 Conjugate Directions B.2.2 Minimizing a Quadratic Function B.2.3 Algorithm B.3 Kaiman Filter Training B.3.1 Linearization B.3.2 Algorithm B.4 A Neural Network Classifier with Hybrid Training Appendix C: ENVI Extensions in IDL C.1 Installation C.2 Extensions C.2.1 Kernel Principal Components Analysis C.2.2 Discrete Wavelet Transform Fusion C.2.3 A Trous Wavelet Transform Fusion C.2.4 Quality Index C.2.5 Calculating Heights of Man-Made Structures in High-Resolution Imagery C.2.6 Illumination Correction C.2.7 Image Registration C.2.8 Maximum Likelihood Classification C.2.9 Gaussian Kernel Classification C.2.10 Neural Network Classification C.2.11 Support Vector Machine Classification C.2.12 Probabilistic Label Relaxation C.2.13 Classifier Evaluation and Comparison C.2.14 Adaptive Boosting a Neural Network Classifier C.2.15 Kernel K-Means Clustering C.2.16 Agglomerative Hierarchical Clustering C.2.17 Fuzzy K-Means Clustering C.2.18 Gaussian Mixture Clustering C.2.19 Kohonen Self-Organizing Map C.2.20 Classified Image Segmentation C.2.21 Mean Shift Segmentation C.2.22 Multivariate Alteration Detection C.2.23 Viewing Changes C.2.24 Radiometric Normalization Appendix D: Mathematical Notation References Index

Note: Inhalt = Content 1. Vorwort = Introduction 2. Ausgewählte Forschungsthemen = Selected research topics Methanemission aus dem Permafrost im Lena-Delta = Methane emission from permafrost in the Lena River Delta / Torsten Sachs, Julia Boike Neue Biomarker belegen Schwankungen der arktischen Meereisbedeckung während der letzten 30.000 Jahre = New biomarkers reveal fluctuations in Arctic sea ice cover during the past 30,000 years / Juliane Müller, Rüdiger Stein Die Stabilität des Westantarktischen Eisschildes – Ergebnisse der ANDRILL Tiefbohrungen = The stability of the West Antarctic ice sheet – results of ANDRILL deep drilling operations / Gerhard Kuhn, Frank Niessen Meeresalgen global - detaillierter Blick aus dem All = Detailed view from space – marine algae globally observed / Astrid Bracher, Tilman Dinter, Ilka Peeken, Bettina Schmitt Was verrät der Jahreszyklus über die Klimaentwicklung der letzten Millionen Jahre? = What does the annual cycle tell us about climate change in the last millions of years? / Thomas Laepple, Gerrit Lohmann Der Puls der Atmosphäre: Dekadisches Auf und Ab / The pulse of the tmosphere: The decadal Ups and Downs / Dörthe Handorf, Klaus Dethloff, Sascha Brand, Matthias Läuter Das Eisendüngungsexperiment LOHAFEX = The Iron Fertilization Experiment LOHAFEX / Philipp Assmy, Christine Klaas, Victor Smetacek, Dieter Wolf-Gladrow Ein nützliches genetisches Erbe - Wie alte Gene das Überleben in neuen Lebensräumen ermöglichen = A convenient genetic heritage - How ancestral genes help to survive in new habitats / Doris Abele, Ellen Weihe, Magnus Lucassen, Christoph Held, Kevin Pöhlmann Verursacher von Muschelvergiftungen identifiziert = Cause of Shellfish Poisoning Identified / Urban Tillmann, Malte Elbrächter, Bernd Krock, Uwe John, Allan Cembella Mikrobielle Stoffumsätze im Klimawandel = Climate change and the microbial cycling of organic matter / Anja Engel, Judith Piontek, Mascha Wurst, Nicole Händel, Mirko Lunau, Corinna Borchard 3. Forschung = Research PACES 3.1 TOPIC 1: The changing Arctic and Antarctic 3.2 TOPIC 2: Coastal change 3.3 TOPIC 3: Lehrstunden aus der Erdgeschichte = Lessons from the past 3.4 TOPIC 4: Das Erdsystem aus polarer Perspektive = The Earth System from a Polar Perspective 4. Helmholtz-Nachwuchsgruppen = Helmholtz Young Investigator Groups 5. Entwicklungen in den Fachbereichen = Progresses in the scientific divisions 6. Tiefseeökologie und -technologie (HGF-MPG) = Deep-sea ecology and technology (HGF-MPG) 7. Logistik und Forschungsplattformen = Logistics and research platforms 8. Nationale und internationale Zusammenarbeit = National and international cooperation 9. Wissenschaftliches Rechenzentrum = Scientific data processing centre 10. Bibliothek = Library 11. Technologietransfer = Technology transfer 12. Kommunikation und Medien = Communications and Media 13. Schulprojekt = School project 14. Personeller Aufbau und Haushaltsentwicklung = Personnel structure and budget trends 15. Veröffentlichungen, Patente = Publications, patents Anhang = Annex , In deutscher und englischer Sprache

Note: Contents: Part I Introductory Section. - 1 High-Resolution Paleoclimatology / Raymond S. Bradley. - 2 Dendroclimatology in High-Resolution Paleoclimatology / Malcolm K. Hughes. - Part II Scientific Bases of Dendroclimatology. - 3 How Well Understood Are the Processes that Create Dendroclimatic Records? A Mechanistic Model of the Climatic Control on Conifer Tree-Ring Growth Dynamics / Eugene A. Vaganov, Kevin J. Anchukaitis, and Michael N. Evans. - 4 Uncertainty, Emergence, and Statistics in Dendrochronology / Edward R. Cook and Neil Pederson. - 5 A Closer Look at Regional Curve Standardization of Tree-Ring Records: Justification of the Need, a Warning of Some Pitfalls, and Suggested Improvements in Its Application / Keith R. Briffa and Thomas M. Melvin. - 6 Stable Isotopes in Dendroclimatology: Moving Beyond ‘Potential’ / Mary Gagen, Danny McCarroll, Neil J. Loader, and Iain Robertson. - Part III Reconstruction of Climate Patterns and Values Relative to Today’s Climate. - 7 Dendroclimatology from Regional to Continental Scales: Understanding Regional Processes to Reconstruct Large-Scale Climatic Variations Across the Western Americas / Ricardo Villalba, Brian H. Luckman, Jose Boninsegna,Rosanne D. D’Arrigo, Antonio Lara, Jose Villanueva-Diaz, Mariano Masiokas, Jaime Argollo, Claudia Soliz, Carlos LeQuesne, David W. Stahle, Fidel Roig, Juan Carlos Aravena, Malcolm K. Hughes, Gregory Wiles, Gordon Jacoby, Peter Hartsough, Robert J.S. Wilson, Emma Watson, Edward R. Cook, Julian Cerano-Paredes, Matthew Therrell, Malcolm Cleaveland, Mariano S. Morales, Nicholas E. Graham, Jorge Moya, Jeanette Pacajes, Guillermina Massacchesi, Franco Biondi, Rocio Urrutia, and Guillermo Martinez Pastur. - Part IV Applications of Dendroclimatology. - 8 Application of Streamflow Reconstruction to Water Resources Management / David M. Meko and Connie A. Woodhouse. - 9 Climatic Inferences from Dendroecological Reconstructions / Thomas W. Swetnam and Peter M. Brown. - 10 North American Tree Rings, Climatic Extremes, and Social Disasters / David W. Stahle and Jeffrey S. Dean. - Part V Overview. - 11 Tree Rings and Climate: Sharpening the Focus / Malcolm K. Hughes, Henry F. Diaz, and Thomas W. Swetnam. - Index.

Note: Contents: Preface. - 1. Introduction. - 1.1 The environment of the polar regions. - 1.2 The role of the polar regions in the global climate system. - 1.3 Possible implications of high latitude climate change. - 2. Polar climate data and models. - 2.1 Introduction. - 2.2 Instrumental observations. - 2.3 Meteorological analysis fields. - 2.4 Remotely sensed data. - 2.5 Proxy climate data. - 2.6 Models. - 3. The high latitude climates and mechanisms of change. - 3.1 Introduction. - 3.2 Factors influencing the broadscale climated of the polar regions. - 3.3 Processes of the high latitude climates. - 3.4 The mechanisms of high latitude climate change. - 3.5 Atmospheric circulation. - 3.6 Temperature. - 3.7 Cloud and precipitation. - 3.8 Sea ice. - 3.9 The ocean circulation. - 3.10 Concluding remarks. - 4. The last million years. - 4.1 Introduction. - 4.2 The Arctic. - 4.3 The Antarctic. - 4.4 Linking high latitude climate change in the two hemispheres. - 5. The Holocene. - 5.1 Introduction. - 5.2 Forcing of the climate system during the Holocene. - 5.3 Atmospheric circulation. - 5.4 Temperature. - 5.5 The ocean circulation. - 5.6 Sea ice and sea surface temperatures. - 5.7 Atmospheric gases and aerosols. - 5.8 The cryosphere, precipitation and sea level. - 5.9 Concluding remarks. - 6. The instrumental period. - 6.1 Introduction. - 6.2 The main meteorological elements. - 6.3 Changes in the atmospheric circulation. - 6.4 The ocean environment. - 6.5 Sea ice. - 6.6. Snow cover. - 6.7 Permafrost. - 6.8 Atmospheric gases and aerosols. - 6.9 Terrestrial ice and sea level. - 6.10 Attribution of recent changes. - 6.11 Concluding remarks. - 7. Predictions for the next 100 years. - 7.1 Introduction. - 7.2 Possible future greenhouse gas emission scenarios and the IPCC models. - 7.3 Changes in the atmospheric circulation and the modes of climate variability. - 7.4 The main meteorological elements. - 7.5 The ocean circulation and water masses. - 7.6 Sea ice. - 7.7 Seasonal snow cover and the terrestrial environment. - 7.8 Permafrost. - 7.9 Atmospheric gases and aerosols. - 7.10 Terrestrial ice, the ice shelves and sea level. - 7.11 Concluding remarks. - 8. Summary and future research needs. - 8.1 Introduction. - 8.2 Gaining improved understanding of past climate change. - 8.3 Modelling the high latitude climate system. - 8.4 Data required. - 8.5 Concluding remarks. - References. - Index.