ALBERT

Note: Contents: 1 Introduction to the Application of Paleoecological Techniques in Estuaries / Kathryn H. Taffs, Krystyna M. Saunders, Kaarina Weckström, Peter A. Gell, and C. Gregory Skilbeck. - PART I ESTARIES AND THEIR MANAGEMENT. - 2 Estuary Form and Function: Implications for Palaeoecological Studies / Peter Scanes, Angus Ferguson, and Jaimie Potts. - 3 Geology and Sedimentary History of Modern Estuaries / C. Gregory Skilbeck, Andrew D. Heap, and Colin D. Woodroffe. - 4 Paleoecological Evidence for Variability and Change in Estuaries: Insights for Management / Krystyna M. Saunders and Peter A. Gell. - PART II CORING AND DATING OF ESTUARINE SEDIMENTS. - 5 Sediment Sampling in Estuaries: Site Selection and Sampling Techniques / C. Gregory Skilbeck, Stacey Trevathan-Tackett, Pemika Apichanangkool, and Peter I. Macreadie. - 6 Some Practical Considerations Regarding the Application of 210Pb and 137Cs Dating to Estuarine Sediments / Thorbjoern Joest Andersen. - 7 Radiocarbon Dating in Estuarine Environments / Jesper Olsen, Philippa Ascough, Bryan C. Lougheed, and Peter Rasmussen. - PART III TECHNIQUES FOR PALAEOENVIRONMENTAL RECONSTRUCTIONS IN ESTUARINES. - 8 Lipid Biomarkers as Organic Geochemical Proxies for the Paleoenvironmental Reconstruction of Estuarine Environments / John K. Volkman and Rienk H. Smittenberg. - 9 C/N ratios and Carbon Isotope Composition of Organic Matter in Estuarine Environments / Melanie J. Leng and Jonathan P. Lewis. - 10 Physical and Chemical Factors to Consider when Studying Historical Contamination and Pollution in Estuaries / Amanda Reichelt-Brushett, Malcolm Clark, and Gavin Birch. - 11 Diatoms as Indicators of Environmental Change in Estuaries / Kathryn H. Taffs, Krystyna M. Saunders, and Brendan Logan. - 12 Dinoflagellate Cysts as Proxies for Holocene Environmental Change in Estuaries: Diversity, Abundance and Morphology / Marianne Ellegaard, Barrie Dale, Kenneth N. Mertens, Vera Pospelova, and Sofia Ribeiro. - 13 Applications of Foraminifera, Testate Amoebae and Tintinnids in Estuarine Palaeoecology / Anupam Ghosh and Helena L. Filipsson. - 14 Ostracods as Recorders of Palaeoenvironmental Change in Estuaries / Jessica M. Reeves. - 15 Application of Molluscan Analyses to the Reconstruction of Past Environmental Conditions in Estuaries / G. Lynn Wingard and Donna Surge. - 16 Corals in Estuarine Environments: Their Response to Environmental Changes and Application in Reconstructing Past Environmental Variability / Francisca Staines-Urías. - 17 Inferring Environmental Change in Estuaries from Plant Macrofossils / John Tibby and Carl D. Sayer. - 18 Applications of Pollen Analysis in Estuarine Systems / Joanna C. Ellison. - PART IV CASE STUDIES. - 19 Palaeo-Environmental Approaches to Reconstructing Sea Level Changes in Estuaries / Brigid V. Morrison and Joanna C. Ellison. - 20 Paleoecology Studies in Chesapeake Bay: A Model System for Understanding Interactions between Climate, Anthropogenic Activities and the Environment / Elizabeth A. Canuel, Grace S. Brush, Thomas M. Cronin, Rowan Lockwood, and Andrew R. Zimmerman. - 21 Paleosalinity Changes in the Río de la Plata Estuary and on the Adjacent Uruguayan Continental Shelf over the Past 1200 Years: An Approach Using Diatoms as a Proxy / Laura Perez, Felipe García-Rodríguez, and Till J.J. Hanebuth. - 22 Application of Paleoecology to Ecosystem Restoration: A Case Study from South Florida’s Estuaries / G. Lynn Wingard. - 23 Paleolimnological History of the Coorong: Identifying the Natural Ecological Character of a Ramsar Wetland in Crisis / Peter A. Gell. - 24 Palaeoenvironmental History of the Baltic Sea: One of the Largest Brackish-water Ecosystems in the World / Kaarina Weckström, Jonathan P. Lewis, Elinor Andrén, Marianne Ellegaard, Peter Rasmussen, and Richard Telford. - Glossary. - Index

Note: Contents: 1 Introduction. - 1.1 Chapter Summary. - 1.2 The Meaning of the Book’s Title. - 1.3 Historical Background. - 1.4 How to Read This Book. - 1.5 Further Reading. - References. - PART 1 BASIC THEORETICAL CONCEPTS. - 2 Discrete-Time Signals and Systems. - 2.1 Chapter Summary. - 2.2 Basic Definitions and Concepts. - 2.3 Discrete-Time Signals: Sequences. - 2.3.1 Basic Sequence Operations. - 2.3.2 Basic Sequences. - 2.3.3 Deterministic and Random Signals. - 2.4 Linear Time-Invariant (LTI) Systems. - 2.4.1 Impulse Response of an LTI System and Linear Convolution. - 2.4.2 An Example of Linear Convolution. - 2.4.3 Interconnections of LTI Systems. - 2.4.4 Effects of Stability and Causality Constraints on the Impulse Response of an LTI System. - 2.4.5 Finite (FIR) and Infinite (IIR) Impulse Response Systems. - 2.4.6 Linear Constant-Coefficient Difference Equation (LCCDE). - 2.4.7 Examples of LCCDE. - 2.4.8 The Solutions of an LCCDE. - 2.4.9 From the LCCDE to the Impulse Response: Examples. - 2.4.10 Eigenvalues and Eigenfunctions of LTI Systems. - References. - 3 Transforms of Discrete-Time Signals. - 3.1 Chapter Summary. - 3.2 z-Transform. - 3.2.1 Examples of z-Transforms and Special Cases. - 3.2.2 Rational z-Transforms. - 3.2.3 Inverse z-Transform. - 3.2.4 The z-Transform on the Unit Circle. - 3.2.5 Selected z-Transform Properties. - 3.2.6 Transfer Function of an LTI System. - 3.2.7 Output Sequence of an LTI System. - 3.2.8 Zeros and Poles: Forms for Rational Transfer Functions. - 3.2.9 Inverse System. - 3.3 Discrete-Time Fourier Transform (DTFT). - 3.3.1 An Example of DTFT Converging in the Mean-Square Sense. - 3.3.2 Line Spectra. - 3.3.3 Inverse DTFT. - 3.3.4 Selected DTFT Properties. - 3.3.5 The DTFT of a Finite-Length Causal Sequence. - 3.4 Discrete Fourier Series (DFS). - 3.4.1 Selected DFS Properties. - 3.4.2 Sampling in the Frequency Domain and Aliasing in the Time Domain. - 3.5 Discrete Fourier Transform (DFT). - 3.5.1 The Inverse DFT in Terms of the Direct DFT. - 3.5.2 Zero Padding. - 3.5.3 Selected DFT Properties. - 3.5.4 Circular Convolution Versus Linear Convolution. - 3.6 Fast Fourier Transform (FFT). - 3.7 Discrete Trigonometric Expansion. - 3.8 Appendix: Mathematical Foundations of Signal Representation. - 3.8.1 Vector Spaces. - 3.8.2 Inner Product Spaces. - 3.8.3 Bases in Vector Spaces. - 3.8.4 Signal Representation by Orthogonal Bases. - 3.8.5 Signal Representation by Standard Bases. - 3.8.6 Frames and Biorthogonal Bases. - 3.8.7 Summary and Complements. - References. - 4 Sampling of Continuous-Time Signals. - 4.1 Chapter Summary. - 4.2 Sampling Theorem. - 4.3 Reconstruction of a Continuous-Time Signal from Its Samples. - 4.4 Aliasing in the Frequency Domain and Anti-Aliasing Filter. - 4.5 The Uncertainty Principle for the Analog Fourier Transform. - 4.6 Support of a Continuous-Time Signal in the Time and Frequency Domains. - 4.7 Appendix: Analog and Digital Frequency Variables. - References. - 5 Spectral Analysis of Deterministic Discrete-Time Signals. - 5.1 Chapter Summary. - 5.2 Issues in Practical Spectral Analysis. - 5.2.1 The Effect of Windowing. - 5.2.2 The Effect of Spectral Sampling. - 5.3 Classical Windows. - 5.4 The Kaiser Window. - 5.5 Energy and Power Signals and Their Spectral Representations. - 5.6 Correlation of Deterministic Discrete-Time Signals. - 5.6.1 Correlation of Energy Signals. - 5.6.2 Correlation of Power Signals. - 5.6.3 Effect of an LTI System on Correlation Properties of Input and Output Signals. - 5.7 Wiener-Khinchin Theorem. - 5.7.1 Energy Signals and Energy Spectrum. - 5.7.2 Power Signals and Power Spectrum. - References. - PART 2 DIGITAL FILTERS. - 6 Digital Filter Properties and Filtering Implementation. - 6.1 Chapter Summary. - 6.2 Frequency-Selective Filters. - 6.3 Real-Causal-Stable-Rational (RCSR) Filters. - 6.4 Amplitude Response. - 6.5 Phase Response. - 6.5.1 Phase Discontinuities and Zero-Phase Response. - 6.5.2 Linear Phase (LP). - 6.5.3 Generalized Linear Phase (GLP). - 6.5.4 Constraints on GLP Filters. - 6.6 Digital Filtering Implementation. - 6.6.1 Direct Forms. - 6.6.2 Transposed-Direct Forms. - 6.6.3 FIR Direct and Transposed-Direct Forms. - 6.6.4 Direct and Transposed-Direct Forms for LP FIR Filters. - 6.6.5 Cascade and Parallel Forms. - 6.7 Zero-Phase Filtering. - 6.8 An Incorrect Approach to Filtering. - 6.9 Filtering After Downsampling. - 6.9.1 Theory of Downsampling. - 6.9.2 An Example of Filtering After Downsampling. - References. - 7 FIR Filter Design. - 7.1 Chapter Summary. - 7.2 Design Process. - 7.3 Specifications of Digital Filters. - 7.3.1 Constraints on the Magnitude Response. - 7.3.2 Constraints on the Phase Response. - 7.4 Selection of Filter Type: IIR or FIR?. - 7.5 FIR-Filter Design Methods and Approximation Criteria. - 7.6 Properties of GLP FIR Filters. - 7.6.1 Factorization of the Zero-Phase Response. - 7.6.2 Zeros of the Transfer Function. - 7.6.3 Another Form of the Adjustable Term. - 7.7 Equiripple FIR Filter Approximations: Minimax Design. - 7.8 Predicting the Minimum Filter Order. - 7.9 MPR Algorithm. - 7.10 Properties of Equiripple FIR Filters. - 7.11 The Minimax Method for Bandpass Filters. - References. - 8 IIR Filter Design. - 8.1 Chapter Summary. - 8.2 Design Process. - 8.3 Lowpass Analog Filters. - 8.3.1 Laplace Transform. - 8.3.2 Transfer Function and Design Parameters. - 8.4 Butterworth Filters. - 8.5 Chebyshev Filters. - 8.5.1 Chebyshev-I Filters. - 8.5.2 Chebyshev-II Filters. - 8.6 Elliptic Filters. - 8.7 Normalized and Non-normalized Filters. - 8.8 Comparison Among the Four Analog Filter Types. - 8.9 From the Analog Lowpass Filter to the Digital One. - 8.9.1 Bilinear Transformation. - 8.9.2 Design Procedure. - 8.9.3 Examples. - 8.10 Frequency Transformations. - 8.10.1 From a Lowpass to a Highpass Filter. - 8.10.2 From a Lowpass to a Bandpass Filter. - 8.10.3 From a Lowpass to a Bandstop Filter . - 8.11 Direct Design of IIR Filters. - 8.12 Appendix. - 8.12.1 Trigonometric Functions with Complex Argument. - 8.12.2 Elliptic Integrals. - 8.12.3 Jacobi Elliptic Functions. - 8.12.4 Landen-Gauss Transformation. - 8.12.5 Elliptic Rational Function. - References. - PART 3 SPECTRAL ANALYSIS. - 9 Statistical Approach to Signal Analysis. - 9.1 Chapter Summary. - 9.2 Preliminary Considerations. - 9.3 Random Variables. - 9.4 Ensemble Averages. - 9.5 Stationary Random Processes and Signals. - 9.6 Ergodicity. - 9.7 Wiener-Khinchin Theorem for Random Signals and Power Spectrum. - 9.8 Cross-Power Spectrum of Two Random Signals. - 9.9 Effect of an LTI System on a Random Signal. - 9.10 Estimation of the Averages of Ergodic Stationary Signals. - 9.10.1 General Concepts in Estimation Theory. - 9.10.2 Mean and Variance Estimation. - 9.10.3 Autocovariance Estimation. - 9.10.4 Cross-Covariance Estimation. - 9.11 Appendix: A Road Map to the Analysis of a Data Record. - References. - 10 Non-Parametric Spectral Methods. - 10.1 Chapter Summary. - 10.2 Power Spectrum Estimation. - 10.3 Periodogram. - 10.3.1 Bias. - 10.3.2 Variance. - 10.3.3 Examples. - 10.3.4 Variance Reduction by Band- and Ensemble-Averaging. - 10.4 Bartlett’s Method. - 10.5 Modified Periodogram. - 10.6 Welch’s Method. - 10.7 Blackman-Tukey Method. - 10.8 Statistical Significance of Spectral Peaks. - 10.9 MultiTaper Method. - 10.10 Estimation of the Cross-Power Spectrum of Two Random Signals. - 10.11 Use of the FFT in Power Spectrum Estimation. - 10.12 Power Spectrum Normalization. - References. - 11 Parametric Spectral Methods. - 11.1 Chapter Summary. - 11.2 Signals with Rational Spectra . - 11.3 Stochastic Models and Processes. - 11.3.1 Autoregressive-Moving Average (ARMA) Model. - 11.3.2 Autoregressive (AR) Model. - 11.3.3 Moving Average (MA) Model. - 11.3.4 How the AR and MA Modeling Approaches Are Theoretically Related. - 11.3.5 First-Order AR and MA Models: White, Red and Blue Noise. - 11.3.6 Higher-Order AR Models. - 11.4 The AR Approach to Spectral Estimation. - 11.5 AR Modeling and Linear Prediction. - 11.6

Note: Contents: 1 Introduction. - 1.1 Basic Concepts and Definitions. - 1.1.1 What Gas Seepage Is, What It Is Not. - 1.1.2 A Jungle of Names: Seeps, Macroseeps, Microseepage, Microseeps, and Miniseepage. - 1.1.3 Seepage id est Migration. - 1.1.4 Microbial, Thermogenic, and Abiotic Methane. - 1.2 Significance of Seepage and Implications. - 1.2.1 Seepage and Petroleum Exploration. - 1.2.2 Marine Seepage on the Crest of the Wave. - 1.2.3 From Sea to Land. - 1.2.4 A New Vision. - References. - 2 Gas Seepage Classification and Global Distribution. - 2.1 Macro-Seeps. - 2.1.1 Gas Seeps. - 2.1.2 Oil Seeps. - 2.1.3 Gas-Bearing Springs. - 2.1.4 Mud Volcanoes. - 2.1.5 Miniseepage. - 2.1.6 The Global Distribution of Onshore Macro-Seeps. - 2.2 Microseepage. - 2.3 Marine Seepage Manifestations. - References. - 3 Gas Migration Mechanisms. - 3.1 Fundamentals. - 3.1.1 Sources and Pathways. - 3.1.2 Diffusion and Advection. - 3.2 Actual Mechanisms and Migration Forms. - 3.2.1 Bubble and Microbubble Flow. - 3.2.2 Gas Seepage Velocity. - 3.2.3 Matter Transport by Microbubbles. - 3.2.4 The Concept of Carrier Gas and Trace Gas. - References. - 4 Detecting and Measuring Gas Seepage. - 4.1 Gas Detection Methods. - 4.1.1 Above-Ground (Atmospheric) Measurements. - 4.1.2 Ground Measurements. - 4.1.3 Measurements in Aqueous Systems. - 4.2 Indirect Methods. - 4.2.1 Chemical-Mineralogical Alterations of Soils. - 4.2.2 Vegetation Changes (Geobotanical Anomalies). - 4.2.3 Microbiological Analyses of Soils. - 4.2.4 Radiometric Surveys. - 4.2.5 Geophysical Techniques. - References. - 5 Seepage in Field Geology and Petroleum Exploration. - 5.1 Seepage and Faults. - 5.2 Microseepage Applied to Areal Petroleum Exploration. - 5.2.1 Which Gas Can Be Measured?. - 5.2.2 Microseepage Methane Flux Measurements. - 5.3 Seep Geochemistry for Petroleum System Evaluation. - 5.3.1 Recognising Post-genetic Alterations of Gases. - 5.3.2 Assessing Gas Source Type and Maturity. - 5.3.3 The Presence of Undesirable Gases (CO2, H2S, N2). - 5.3.4 Helium in Seeps… for Connoisseurs. - References. - 6 Environmental Impact of Gas Seepage. - 6.1 Geohazards. - 6.1.1 Methane Explosiveness. - 6.1.2 The Toxicity of Hydrogen Sulphide. - 6.1.3 Mud Expulsions and the Degradation of Soil-Sediments. - 6.2 Stray Gas, Natural versus Man-Made. - 6.3 Hypoxia in Aquatic Environments. - 6.4 Gas Emissions to the Atmosphere. - 6.4.1 Methane Fluxes and the Global Atmospheric Budget. - 6.4.2 Ethane and Propane Seepage, a Forgotten Potential Source of Ozone Precursors. - 6.5 Natural Seepage and CO2 Geological Sequestration. - References. - 7 Seepage in Serpentinised Peridotites and on Mars. - 7.1 Seeps and Springs in Active Serpentinisation Systems. - 7.1.1 Where Abiotic Methane Is Seeping. - 7.1.2 How Abiotic Methane in Land-Based Serpentinisation Systems Is Formed. - 7.1.3 How to Distinguish Abiotic and Biotic Methane. - 7.1.4 Seepage to the Surface. - 7.1.5 Is Abiotic Gas Seepage Important for the Atmospheric Methane Budget?. - 7.2 Potential Methane Seepage on Mars. - 7.2.1 Looking for Methane on Mars. - 7.2.2 A Theoretical Martian Seepage. - References. - 8 Gas Seepage and Past Climate Change. - 8.1 Past Seepage Stronger than Today. - 8.2 Potential Proxies of Past Seepage. - 8.3 Methane and Quaternary Climate Change. - 8.3.1 Traditional Models: Wetlands versus Gas Hydrates. - 8.3.2 Adding Submarine Seeps. - 8.3.3 Considering Onshore and Offshore Seepage in Total. - 8.3.4 CH4 Isotope Signatures in Ice Cores. - 8.4 Longer Geological Time Scale Changes. - 8.4.1 The Concept of Sedimentary Organic Carbon Mobilization. - 8.4.2 Paleogene Changes. - References. - 9 Seeps in the Ancient World: Myths, Religions, and Social Development. - 9.1 Seeps in Mythology and Religion. - 9.2 Seeps in Social and Technological Development. - References. - Epilogue. - Index.

Note: Contents: Abstract. - Kurzfassung. - 1 Introduction. - 1.1 Motivation. - 1.2 Scientific questions. - 1.3 Method. - 2 Background and state of the science. - 2.1 The atmospheric aerosol. - 2.1.1 Relevance. - 2.1.2 Aerosol processes. - 2.1.3 Aerosol properties. - 2.2 The influence of ship emissions. - 2.3 Aerosol modeling. - 2.3.1 Selected results. - 2.3.2 Motivation to expand on previous work. - 2.3.3 The computational approach. - 2.3.4 Existing aerosol microphysics submodels. - 2.3.5 MADE3 as a successor of MADE and MADE-in. - 3 The aerosol submodel MADE3. - 3.1 Aerosol characteristics. - 3.1.1 Modes. - 3.1.2 Species. - 3.1.3 Mathematical representation of aerosol characteristics. - 3.2 Aerosol processes. - 3.2.1 Gas–particle partitioning. - 3.2.2 Condensation of H2SO4 and organic vapors. - 3.2.3 New particle formation. - 3.2.4 Coagulation. - 3.2.5 Renaming. - 3.2.6 Aging of insoluble particles. - 4 Box model tests. - 4.1 Model description: MADE vs. MADE3. - 4.2 Model description: PartMC-MOSAIC. - 4.3 Test case scenario. - 4.4 Results: MADE3 vs. MADE. - 4.4.1 Size distributions. - 4.4.2 Composition. - 4.5 Results: MADE3 vs. PartMC-MOSAIC. - 4.5.1 Size distributions. - 4.5.2 Composition. - 4.6 Summary and conclusions. - 5 MADE3 in the atmospheric chemistry general circulation model EMAC. - 5.1 Basic settings. - 5.2 Emissions. - 5.3 Transport. - 5.4 Gas phase chemistry. - 5.5 Cloud formation. - 5.5.1 Stratiform clouds. - 5.5.2 Convective clouds. - 5.6 Cloud and precipitation processing of the aerosol. - 5.7 Wet deposition. - 5.8 Dry deposition. - 5.9 Sedimentation. - 5.10 Optical properties. - 6 Evaluation of simulated tropospheric aerosol properties. - 6.1 Data comparability. - 6.2 The MADE3 aerosol within EMAC. - 6.2.1 Near-surface mass concentrations. - 6.2.2 Vertical distributions. - 6.2.3 Size distributions. - 6.2.4 Aerosol optical depth. - 6.2.5 Global tropospheric burdens and residence times. - 6.2.6 Summary and conclusions. - 6.3 Comparison to MADE. - 6.4 New features of MADE3. - 7 Effects of oceanic ship emissions on atmospheric aerosol particles. - 7.1 Effects of year 2000 emissions. - 7.1.1 Near-surface concentrations. - 7.1.2 Near-surface size distributions. - 7.1.3 Tropospheric burdens. - 7.2 Effects of an idealized fuel sulfur content reduction. - 7.3 Summary and conclusions. - 8 Summary, conclusions, and outlook. - Appendix. - A.1 Particle evolution in the box model study. - A.2 Gas phase chemical mechanism. - A.3 Liquid phase chemical mechanism. - A.4 Mode assignment of cloud residual aerosol. - A.4.1 Terminology. - A.4.2 Basic assumptions. - A.4.3 Algorithm for residual assignment. - A.5 Year 2000 aerosol in EMAC with MADE3. - A.6 Near-surface mass concentration evaluation. - References. - Acronyms, symbols, and species names. - Acronyms. - Symbols. - Tracers and chemical species. - Danksagung.

Note: Contents: Lists of figures. - List of contributors. - Preface. - 1. Challenges for ice age dynamics: a dynamical systems perspective / Michel Crucifix, Guillaume Lenoir and Takahito Mitsui. - 2. Tipping points in the climate system / Peter Ditlevsen. - 3. Atmospheric teleconnection patterns / Steven B. Feldstein and Christian L. E. Franzke. - 4. Atmospheric regimes: the link between weather and the large scale circulation / David M. Straus, Franco Molteni and Susanna Corti. - 5. Low-frequency regime transitions and predictability of regimes in a barotropic model / Balu T. Nadiga and Terence J. O'Kane. - 6. Complex network techniques for climatological data analysis / Reik V. Donner, Marc Wiedermann and Jonathan F. Donges. - 7. On inference and validation of causality relations in climate teleconnections / Illia Horenko, Susanne Gerber, Terence J. O'Kane, James S. Risbey and Didier P. Monselesan. - 8. Stochastic climate theory / Georg A. Gottwald, Daan T. Crommelin and Christian L. E. Franzke. - 9. Stochastic subgrid modelling for geophysical and three-dimensional turbulence / Jorgen S. Frederiksen, Vassili Kitsios, Terence J. O'Kane and Meelis J. Zidikheri. - 10. Model error in data assimilation / John Harlim. - 11. Long-term memory in climate: detection, extreme events, and significance of trends / Armin Bunde and Josef Ludescher. - 12. Fractional stochastic models for heavy tailed, and long-range dependent, fluctuations in physical systems / Nicholas W. Watkins. - 13. Modelling spatial extremes using Max-Stable Processes / Mathieu Ribatet. - 14. Extreme value analysis in dynamical systems: two case studies / Tamás Bódai. - Index.

Note: Table of Contents: List of contributors. - Cryosphere Science: Series Preface. - Preface. - Acknowledgments. - About the companion website. - 1 Remote sensing and the cryosphere. - 1.1 Introduction. - 1.2 Remote sensing. - 1.2.1 The electromagnetic spectrum and blackbody radiation. - 1.2.2 Passive systems. - 1.2.3 Active systems. - 1.3 The cryosphere. - References. - 2 Electromagnetic properties of components of the cryosphere. - 2.1 Electromagnetic properties of snow. - 2.1.1 Visible/near-infrared and thermal infrared. - 2.1.2 Microwave region. - 2.2 Electromagnetic properties of sea ice. - 2.2.1 Visible/near-infrared and thermal infrared. - 2.2.2 Microwave region. - 2.3 Electromagnetic properties of freshwater ice. - 2.4 Electromagnetic properties of glaciers and ice sheets. - 2.4.1 Visible/near-infrared and thermal infrared. - 2.4.2 Microwave region. - 2.5 Electromagnetic properties of frozen soil. - 2.5.1 Visible/near-infrared and thermal infrared. - 2.5.2 Microwave region. - References. - Acronyms. - Websites cited. - 3 Remote sensing of snow extent. - 3.1 lntroduction. - 3.2 Visible/near-infrared snow products. - 3.2.1 The normalized difference snow index (NDSI). - 3.3 Passive microwave products. - 3.4 Blended VNIR/PM products. - 3.5 Satellite snow extent as input to hydrological models. - 3.6 Concluding remarks. - Acknowledgments. - References. - Acronyms. - Websites cited. - 4 Remote sensing of snow albedo, grain size, and pollution from space. - 4.1 Introduction. - 4.2 Forward modeling. - 4.3 Local optical properties of a snow layer. - 4.4 Inverse problem. - 4.5 Pitfalls of retrievals. - 4.6 Conclusions. - Acknowledgments. - References. - Acronyms. - Websites cited. - 5 Remote sensing of snow depth and snow water equivalent. - 5.1 Introduction. - 5.2 Photogrammetry. - 5.3 LiDAR. - 5.4 Gamma radiation. - 5.5 Gravity data. - 5.6 Passive microwave data. - 5.7 Active microwave data. - 5.8 Conclusions. - References. - Acronyms. - Websites cited. - 6 Remote sensing of melting snow and ice. - 6.1 Introduction. - 6.2 General considerations on optical/thermal and microwave sensors and techniques for remote sensing of melting. - 6.2.1 Optical and thermal sensors. - 6.2.2 Microwave sensors. - 6.2.3 Electromagnetic properties of dry and wet snow. - 6.3 Remote sensing of melting over land. - 6.4 Remote sensing of melting over Greenland. - 6.4.1 Thermal infrared sensors. - 6.4.2 Microwave sensors. - 6.5 Remote sensing of melting over Antarctica. - 6.6 Conclusions. - References. - Acronyms. - 7 Remote sensing of glaciers. - 7.1 Introduction. - 7.2 Fundamentals. - 7.3 Satellite instruments for glacier research. - 7.4 Methods. - 7.4.1 Image classification for glacier mapping. - 7.4.2 Mapping debris-covered glaciers. - 7.4.3 Glacier mapping with SAR data. - 7.4.4 Assessing glacier changes. - 7.4.5 Area and length changes. - 7.4.6 Volumetrie glacier changes. - 7.4.7 Glacier velocity. - 7.5 Glaciers of the Greenland ice sheet. - 7.5.1 Surface elevation. - 7.5.2 Glacier extent. - 7.5.3 Glacier dynamics. - 7.6 Summary. - References. - Acronyms. - Websites cited. - 8 Remote sensing of accumulation over the Greenland and Antarctic ice sheets. - 8.1 Introduction to accumulation. - 8.2 Spaceborne methods for determining accumulation over ice sheets. - 8.2.1 Microwave remote sensing. - 8.2.2 Other remote sensing techniques and combined methods. - 8.3 Airborne and ground-based measurements of accumulation. - 8.3.1 Ground-based. - 8.3.2 Airborne. - 8.4 Modeling of accumulation. - 8.5 The future for remote sensing of accumulation. - 8.6 Conclusions. - References. - Acronyms. - Website cited. - 9 Remote sensing of ice thickness and surface velocity. - 9.1 Introduction. - 9.1.1 Electrical properties of glacial ice. - 9.2 Radar principles. - 9.2.1 Radar sounder. - 9.2.2 Radar equation. - 9.3 Pulse compression. - 9.4 Antennas. - 9.5 Example results. - 9.6 SAR and array processing. - 9.7 SAR Interferometry. - 9. 7.1 Introduction. - 9.7.2 Basic theory. - 9.7.3 Practical considerations of InSAR systems. - 9.7.4 Application of InSAR to Cryosphere remote sensing. - 9.8 Conclusions. - References. - Acronyms. - 10 Gravimetry measurements from space. - 10.1 Introduction. - 10.2 Observing the Earth's gravity field with inter-satellite ranging. - 10.3 Surface mass variability from GRACE. - 10.4 Results. - 10.5 Conclusions. - References. - Acronyms. - 11 Remote sensing of sea ice. - 11.1 Introduction. - 11.2 Sea ice concentration and extent. - 11.2.1 Passive microwave radiometers. - 11.2.2 Active microwave - scatterometry and radar. - 11.2.3 Visible and infrared. - 11.2.4 Operational sea ice analyses. - 11.3 Sea ice drift. - 11.4 Sea ice thickness and age, and snow depth. - 11.4.1 Altimetric thickness estimates. - 11.4.2 Radiometric thickness estimates. - 11.4.3 Sea ice age estimates as a proxy for ice thickness. - 11.5 Sea ice melt onset and freeze-up, albedo, melt pond fraction and surface temperature. - 11.5.1 Melt onset and freeze-up. - 11.5.2 Sea ice albedo and melt pond fraction. - 11.5.3 Sea ice surface temperature. - 11.6 Summary, challenges and the road ahead. - References. - Acronyms. - Website cited. - 12 Remote sensing of lake and river ice. - 12.1 Introduction. - 12.2 Remote sensing of lake ice. - 12.2.1 Ice concentration, extent and phenology. - 12.2.2 Ice types. - 12.2.3 Ice thickness and snow on ice. - 12.2.4 Snow/ice surface temperature. - 12.2.5 Floating and grounded ice: the special case of shallow Arctic/sub-Arctic lakes. - 12.3 Remote sensing of river ice. - 12.3.1 Ice extent and phenology. - 12.3.2 lce types, ice jams and flooded areas. - 12.3.3 Ice thickness. - 12.3.4 Surface flow velocities. - 12.3.5 Incorporating SAR-derived ice information into a GIS-based system in support of river-flow modeling and flood forecasting. - 12.4 Conclusions and outlook. - Acknowledgments. - References. - Acronyms. - Websites cited. - 13 Remote sensing of permafrost and frozen ground. - 13.1 Permafrost - an essential climate variable of the "Global Climate Observing System". - 13.2 Mountain permafrost. - 13.2.1 Remote sensing of surface features and permafrost landforms. - 13.2.2 Generation of digital elevation models. - 13.2.3 Terrain elevation change and displacement. - 13.3 Lowland permafrost - identification and mapping of surface features. - 13.3.1 Land cover and vegetation. - 13.3.2 Permafrost landforms. - 13.3.3 Landforms and processes indicating permafrost degradation. - 13.4 Lowland permafrost - remote sensing of physical variables related to the thermal permafrost state. - 13.4.1 Land surface temperature through thermal remote sensing. - 13.4.2 Freeze-thaw state of the surface soil through microwave remote sensing. - 13.4.3 Permafrost mapping with airborne electromagnetic surveys. - 13.4.4 Regional surface deformation through radar interferometry. - 13.4.5 A gravimetric signal of permafrost thaw?. - 13.5 Outlook - remote sensing data and permafrost models. - References. - Acronyms. - 14 Field measurements for remote sensing of the cryosphere. - 14.1 Introduction. - 14.2 Physical properties of interest. - 14.2.1 Surface properties. - 14.2.2 Sub-surface properties. - 14.3 Standard techniques for direct measurements of physical properties. - 14.3.1 Topography. - 14.3.2 Snow depth. - 14.3.3 Snow water equivalent and density. - 14.3.4 Temperature. - 14.3.5 Stratigraphy. - 14.3.6 Sea ice depth and ice thickness. - 14.4 New techniques for high spatial resolution measurements. - 14.4.1 Topography. - 14.4.2 Surface properties. - 14.4.3 Sub-surface properties. - 14.5 Simulating airborne and spaceborne observations from the ground. - 14.5.1 Active microwave. - 14.5.2 Passive microwave. - 14.6 Sampling strategies for remote sensing field campaigns: concepts and examples. - 14.6.1 Ice sheet campaigns. - 14.6.2 Seasonal snow campaigns. - 14.6.3 Sea ice campaigns. - 14.7 Conclusions. - References. - Acronyms. - Websites cited. - 15 Remote sensing missions and the cryosphere. - 15.1 In

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Note: Content: Preface. - 1 IASC Internal Development. - IASC Organization. - IASC Council . - IASC Executive Committee. - IASC Secretariat. - Allen Pope New IASC Executive Secretary. - IASC Secretariat Moves to Iceland. - IASC Future Strategy. - IASC Medal 2017. - 2 IASC Working Groups. - Cross-Cutting Initiatives. - Atmosphere Working Group (AWG). - Cryosphere Working Group (CWG). - Marine Working Group (MWG). - Social and Human Working Group (SHWG). - Terrestrial Working Group (TWG). - 3 Arctic Science Summit Week 2016. - Upcoming ASSWs. - 4 Data and Observations. - Arctic Data Committee (ADC). - Sustaining Arctic Observing Networks (SAON). - 5 Partnerships. - Asian Forum for Polar Sciences (AFoPS). - Arctic Council. - 6 Capacity Building. - IASC Fellowship Program. - Overview of Supported Early Career Scientists. - Annex. - Polar Acronyms.

Note: Contents: 1 Introduction. - 2 Basic Physical Properties of Soil. - 2.1 Geometry of the Soil Matrix. - 2.2 Soil Structure. - 2.3 Fractal Geometry. - 2.4 Geometry of the Pore Space. - 2.5 Specific Surface Area. - 2.6 Averaging. - 2.7 Bulk Density, Water Content and Porosity. - 2.8 Relationships between Variables. - 2.9 Typical Values of Physical Properties. - 2.10 Volumes and Volumetric Fractions for a Soil Prism. - 2.11 Soil Solid Phase. - 2.12 Soil Texture. - 2.13 Sedimentation Law. - 2.14 Exercises. - 3 Soil Gas Phase and Gas Diffusion. - 3.1 Transport Equations. - 3.2 The Diffiisivity of Gases in Soil. - 3.3 Computing Gas Concentrations. - 3.4 Simulating One-Dimensional Steady-State Oxygen Diffusion in a Soil Profile. - 3.5 Numerical Implementation. - 3.6 Exercises. - 4 Soil Temperature and Heat Flow. - 4.1 Differential Equations for Heat Conduction. - 4.2 Soil Temperature Data. - 4.3 Numerical Solution of the Heat Flow Equation. - 4.4 Soil Thermal Properties. - 4.5 Numerical Implementation. - 4.6 Exercises. - 5 Soil Liquid Phase and Soil-Water Interactions. - 5.1 Properties of Water. - 5.2 Soil Water Potential. - 5.3 Water Potential-Water Content Relations. - 5.4 Liquid- and Vapour-Phase Equilibrium. - 5.5 Exercises. - 6 Steady-State Water Flow and Hydraulic Conductivity. - 6.1 Forces on Water in Porous Media. - 6.2 Water Flow in Saturated Soils. - 6.3 Saturated Hydraulic Conductivity. - 6.4 Unsaturated Hydraulic Conductivity. - 6.5 Exercises. - 7 Variation in Soil Properties. - 7.1 Frequency Distributions. - 7.2 Probability Density Functions. - 7.3 Transformations. - 7.4 Spatial Correlation. - 7.5 Approaches to Stochastic Modelling. - 7.6 Numerical Implementation. - 7.7 Exercises. - 8 Transient Water Flow. - 8.1 Mass Conservation Equation. - 8.2 Water Flow. - 8.3 Infiltration. - 8.4 Numerical Simulation of Infiltration. - 8.5 Numerical Implementation. - 8.6 Exercises. - 9 Triangulated Irregular Network. - 9.1 Digital Terrain Model. - 9.2 Triangulated Irregular Network. - 9.3 Numerical Implementation. - 9.4 Main. - 9.5 Triangulation. - 9.6 GIS Functions. - 9.7 Boundary. - 9.8 Geometrical Properties of Triangles. - 9.9 Delaunay Triangulation. - 9.10 Refinement. - 9.11 Utilities. - 9.12 Visualization. - 9.13 Exercise. - 10 Water Flow in Three Dimensions. - 10.1 Governing Equations. - 10.2 Numerical Formulation. - 10.3 Coupling Surface and Subsurface Flow. - 10.4 Numerical Implementation. - 10.5 Simulation. - 10.6 Visualization and Results. - 10.7 Exercises. - 11 Evaporation. - 11.1 General Concepts. - 11.2 Simultaneous Transport of Liquid and Vapour in Isothermal Soil. - 11.3 Modelling evaporation. - 11.4 Numerical Implementation. - 11.5 Exercises. - 12 Modelling Coupled Transport. - 12.1 Transport Equations. - 12.2 Partial Differential Equations. - 12.3 Surface Boundary Conditions. - 12.4 Numerical Implementation. - 12.5 Exercises. - 13 Solute Transport in Soils. - 13.1 Mass Flow. - 13.2 Diffusion. - 13.3 Hydrodynamic Dispersion. - 13.4 Advection-Dispersion Equation. - 13.5 Solute-Soil Interaction. - 13.6 Sources and Sinks of Solutes. - 13.7 Analytical Solutions. - 13.8 Numerical Solution. - 13.9 Numerical Implementation. - 13.10 Exercises. - 14 Transpiration and Plant-Water Relations. - 14.1 Soil Water Content and Soil Water Potential under a Vegetated Surface. - 14.2 General Features of Water Flow in the SPAC. - 14.3 Resistances to Water Flow within the Plant. - 14.4 Effect of Environment on Plant Resistance. - 14.5 Detailed Consideration of Soil and Root Resistances. - 14.6 Numerical Implementation. - 14.7 Exercises. - 15 Atmospheric Boundary Conditions. - 15.1 Radiation Balance at the Exchange Surface. - 15.2 Boundary-Layer Conductance for Heat and Water Vapour. - 15.3 Evapotranspiration and the Penman-Monteith Equation. - 15.4 Partitioning of Evapotranspiration. - 15.5 Exercise. - Appendix A: Basic Concepts and Examples of Python Programming. - A.1 Basic Python. - A.2 Basic Concepts of Computer Programming. - A.3 Data Representation: Variables. - A.4 Comments Rules and Indendation. - A.5 Arithmetic Expression. - A.6 Functions. - A.7 Flow Control. - A.8 File Input and Output. - A.9 Arrays. - A.10 Reading Date Time. - A.11 Object-Oriented Programming in Python. - A.12 Output and Visualization. - A.13 Exercises. - Appendix B: Computational Tools. - B.1 Numerical Differentiation. - B.2 Numerical Integration. - B.3 Linear Algebra. - B.4 Exercises. - List of Symbols. - List of Python Variables. - List of Python Projects. - References. - Index.