ALBERT

Note: Contents: 1: Looking Foolish ; 2: The Demographics of Disaffiliation ; 3: Why They Say They Leave ; 4: The Night Before ; 5: Gaudium et spes, luctus et angor ; 6: The Morning After ; 7: Unto the Third and Fourth Generations ; Epilogue: Did the Council Fail?

Note: Contents: Contributors. - Preface. - Acknowledgements. - PART I SETTING THE SCENE. - 1. Introduction: Why Sub-seasonal to Seasonal Prediction (S2S)? / Frédéric Vitart, Andrew W. Robertson. - 1 History of Numerical Weather and Climate Forecasting. - 2 Sub-seasonal to Seasonal Forecasting. - 3 Recent National and International Efforts on Sub-seasonal to Seasonal Prediction. - 4 Structure of This Book. - 2. Weather Forecasting: What Sets the Forecast Skill Horizon? / Zoltan Toth, Roberto Buizza. - 1 Introduction. - 2 The Basics of Numerical Weather Prediction. - 3 The Evolution of NWP Technique. - 4 Enhancement of Predictable signals. - 5 Ensemble Techniques: Brief Introduction. - 6 Expanding the forecast skill Horizon. - 7 Concludmg Remarks: Lessons for S2S Forecasting. - Acknowledgements. - 3. Weather Within Climate: Sub-seasonal Predictability of Tropical Daily Rainfall Characteristics / Vincent Moron, Andrew W. Robertson, Lei Wang. - 1 Introduction. - 2 Data and Methods. - 3 Results. - 4 Discussion and Concluding Remarks. - 4. Identifying Wave Processes Associated With Predictability Across Time Scales: An Empirical Normal Mode Approach / Gilbert Brunet, John Methven. - 1 Introduction. - 2 Partitioning Atmospheric Behavior Using Its Conservation Properties. - 3 The ENM Approach to Observed Data and Models and Its Relevance to S2S Dynamics and Predictability. - 4 Conclusion. - Acknowledgments. - PART II SOURCES OF S2S PREDICTABILITY. - 5. The Madden-Julian Oscillation / Steven J. Woolnough. - 1 Introduction. - 2 The Real-Time Multivariate MJO Index. - 3 Observed MJO Structure. - 4 The Relationship Between the MJO and Tropical and Extratropical Weather. - 5 Theories and Mechanisms for MJO Initiation, Maintenance, and Propagation. - 6 The Representation of the MJO in Weather and Climate Models. - 7 MJO Prediction. - 8 Future Priorities for MJO Research for S2S Prediction. - Acknowledgments. - 6. Extratropical Sub-seasonal to Seasonal Oscillations and Multiple Regimes: The Dynamical Systems View / Michael Ghil, Andreas Groth, Dmitri Kondrashov, Andrew W. Robertson. - 1 Introduction and Motivation. - 2 Multiple Midlatitude Regimes and Low-Frequency Oscillations. - 3 Extratropical Oscillations in the S2S Band. - 4 Low-Order, Data-Driven Modeling, Dynamical Analysis, and Prediction. - 5 Concluding Remarks. - Acknowledgments. - 7. Tropical-Extratropical Interactions and Teleconnections / Hai Lin, Jorgen Frederiksen, David Straus, Christiana Stan. - 1 Introduction. - 2 Tropical Influence on the Extratropical Atmosphere. - 3 Extratropical Influence on the Tropics. - 4 Tropical-Extratropical, Two-Way Interactions. - 5 Summary and Discussion. - Appendix. Technical Matters Relating to Section 4.2. - 8. Land Surface Processes Relevant to Sub-seasonal to Seasonal (S2S) Prediction / Paul A. Dirmeyer, Pierre Gentine, Michael B. Ek, Gianpaolo Balsamo. - 1 Introduction. - 2 Process of Land-Atmosphere Interaction. - 3 A Brief History of Land-Surface Models. - 4 Predictability and Prediction. - 5 Improving Land-Driven Prediction. - 9. Midlatitude Mesoscale Ocean-Atmosphere Interaction and Its Relevance to S2S Prediction / R. Saravanan, P. Chang. - 1 Introduction. - 2 Data and Models. - 3 Mesoscale Ocean-Atmosphere Interaction in the Atmospheric Boundary Layer. - 4 Local Tropospheric Response. - 5 Remote Tropospheric Response. - 6 Impact on Ocean Circulation. - 7 Implications for S2S Prediction. - 8 Summary and Conclusions. - Acknowledgments. - 10. The Role of Sea Ice in Sub-seasonal Predictability / Matthieu Chevallier, François Massonnet, Helge Goessling, Virginie Guémas, Thomas Jung. - 1 Introduction. - 2 Sea Ice in the Coupled Atmosphere-Ocean System. - 3 Sea Ice Distribution, Seasonality, and Variability. - 4 Sources of Sea Ice Predictability at the Sub-seasonal to Seasonal Timescale. - 5 Sea Ice Sub-seasonal to Seasonal - Predictability and Prediction Skill in Models. - 6 Impact of Sea Ice on Sub-seasonal Predictability. - 7 Concluding Remarks. - Acknowledgments. - 11. Sub-seasonal Predictability and the Stratosphere / Amy Butler, Andrew Charlton-Perez, Daniela I. V. Domeisen, Chaim Garfinkel, Edwin P. Gerber, Peter Hitchcock, Alexey Yu. Karpechko, Amanda C. Maycock, Michael Sigmond, Isla Simpson, Seok-Woo Son. - 1 Introduction. - 2 Stratosphere-Troposphere Coup ling in the Tropics. - 3 Stratosphere-Troposphere Coupling in the Extratropics. - 4 Predictability Related to Extratropical Stratosphere-Troposphere Coupling. - 5 Summary and Outlook. - PART Ill S2S MODELING AND FORECASTING. - 12. Forecast System Design, Configuration, and Complexity / Yuhei Takaya. - 1 Introduction. - 2 Requirements and Constraints of the Operational Sub-seasonal Forecast. - 3 Effect of Ensemble Size and Lagged Ensemble. - 4 Real-Time Forecast Configuration. - 5 Reforecast Configuration. - 6 Summary and Concluding Remarks. - Acknowledgments. - 13. Ensemble Generation: The TIGGE and S2S Ensembles / Roberto Buizza. - 1 Global Sub-seasonal and Seasonal Prediction Is an Initial Value Problem. - 2 Ensembles Provide More Complete and Valuable Information Than Single States. - 3 A Brief Introduction to Data Assimilation. - 4 A Brief Introduction to Model Uncertainty Simulation. - 5 An Overview of Operational, Global, Sub-seasonal, and Seasonal Ensembles, and Their Initialization and Generation Methods. - 6 Ensembles: Considerations About Their Future. - 7 Summary and Key Lessons. - 14. GCMs With Full Representation of Cloud Microphysics and Their MJO Simulations / In-Sik Kang, Min-Seop Ahn, Hiroaki Miura, Aneesh Subramanian. - 1 Introduction. - 2 Global CRM. - 3 Superparameterized GCM. - 4 GCM With Full Representation of Cloud Microphysics and Scale-Adaptive Convection. - 5 Summary and Conclusion. - Acknowledgments. - 15. Forecast Recalibration and Multimodel Combination / Stefan Siegert, David B. Stephenson. - 1 Introduction. - 2 Statistical Methods for Forecast Recalibration. - 3 Regression Methods. - 4 Forecast Combination. - 5 Concluding Remarks. - Acknowledgments. - 16. Forecast Verification for S2S Timescales / Caio A. S. Coelho, Barbara Brown, Laurie Wilson, Marion Mittermaier, Barbara Casati. - 1 Introduction. - 2 Factors Affecting the Design of Verification Studies. - 3 Observational References. - 4 Review of the Most Common Verification Measures. - 5 Types of S2S Forecasts and Current Verification Practices. - 6 Summary, Challenges, and Recommendations in S2S Verification. - PART IV S2S APPLICATIONS. - 17. Sub-seasonal to Seasonal Prediction of Weather Extremes / Frédérik Vitart, Christopher Cunningham, Michael Deflorio, Emanuel Dutra, Laura Ferranti, Brian Golding, Debra Hudson, Charles Jones, Christophe Lavaysse, Joanne Robbins, Michael K. Tippett. - 1 Introduction. - 2 Prediction of Large-Scale, Long-Lasting Extreme Events. - 3 Prediction of Mesoscale Events. - 4 Display and Verification of Sub-seasonal Forecasts of Extreme Events. - 5 Conclusions. - 18. Pilot Experiences in Using Seamless Forecasts for Early Action: The "Ready-Set-Go!" Approach in the Red Cross / Juan Bazo, Roop Singh, Mathieu Destrooper, Erin Coughlan de Perez. - 1 Introduction. - 2 Why Sub-seasonal?. - 3 Case Study: Peru El Niño. - 4 Reflections on the Use of S2S Forecasts. - 5 Conclusions. - 19. Communication and Dissemination of Forecasts and Engaging User Communities / Joanne Robbins, Christopher Cunningham, Rutger Dankers, Matthew Degennaro, Giovanni Dolif, Robyn Duell, Victor Marchezini, Brian Mills, Juan Pablo Sarmiento, Amber Silver, Rachel Trajber, Andrew Watkins. - 1 Introduction. - 2 Sector-Specific Methods and Practices in S2S Forecast Communication, Dissemination, and Engagement. - 3 Guiding principles for improved communication Practices. - 4 Summary and Recommendations for Future Research. - 20. Seamless Prediction of Monsoon Onset and Active/Break Phases / A.

Note: Contents: : 1: Climate Justice: Integrating Economics and Philosophy, Ravi Kanbur and Henry Shue ; 2: Poor People on the Front Line: The Impacts of Climate Change on Poverty in 2030, Julie Rozenberg and Stephane Hallegatte ; 3: Governing the Commons to Promote Global Justice: Climate Change Mitigation and Rent Taxation, Michael Jakob, Ottmar Edenhofer, Ulrike Kornek, Dominic Lenzi, and Jan Minx. ; 4: Equity Implications of the COP21 Intended Nationally Determined Contributions to Reduce Greenhouse Gas Emissions, Adam Rose, Dan Wei, and Antonio Bento ; 5: Climate Change and Inequity: How to Think about Inequities in Different Dimensions, Nicole Hassoun and Anders Herlitz ; 6: Climate Change and Economic Self-Interest, Julie Nelson ; 7: Noncompliers' Duties, Anja Karnein ; 8: Divest-Invest: A Moral Case for Fossil Fuel Divestment, Alex Lenferna ; 9: Justice and Posterity, Simon Caney ; 10: Discounting and the Paradox of the Indefinitely Postponed Splurge, Matthew Rendall ; 11: The Controllability Precautionary Principle: Justification of a Climate Policy Goal under Uncertainty, Eugen Pissarskoi ; 12: The Social Cost of Carbon from Theory to Trump, Paul Kelleher ; 13: Long-term Climate Justice, John Nolt ; Appendix: Declaration on Climate Justice

Note: Contents: 1: Introduction to complex systems ; 2: Probability and random processes ; 3: Scaling ; 4: Networks ; 5: Evolutionary processes ; 6: Statistical mechanics & information theory for complex systems ; 7: The future of the science of complex systems? ; 8: Special functions and approximations

Note: Contents: Part I: An Introduction to Fortran 90 and Numerical Methods ; 1: Fortran 90: A Simple Programming Language ; 2: Numerical Solution Methods ; Part II: Computational Economics for Beginners ; 3: The Static General Equilibrium Model ; 4: Topics in Finance and Risk Management ; 5: The Life Cycle Model and Intertemporal Choics ; 6: The Overlapping Generations Model ; 7: Extending the OLG Model ; Part III: Advanced Computational Economics ; 8: Introduction to Dynamic Programming ; 9: Dynamic Macro I: Infinite Horizon Models ; 10: Life-Cycle Choices and Risk ; 11: Dynamic Macro II: The Stochastic OLG Model

Note: Contents Acknowledgments 1 Introduction to environmental DNA (eDNA) 1.1 Definitions 1.2 A brief history of eDNA analysis 1.3 Constraints when working with eDNA 1.4 Workflow in eDNA studies and main methods used 1.5 Environmental DNA as a monitoring tool 2 DNA metabarcode choice and design 2.1 Which DNA metabarcode? 2.2 Properties of the ideal DNA metabarcode 2.3 In silica primer design and testing 2.3.1 Prerequisites 2.3.2 Reference sequences: description, filtering, and formatting for ecoPrimers 2.3.3 In silica primer design with ecoPrimers 2.3.3.1 'Ihe ecoPrimers output 2.3.4 In silica primer testing with ecoPCR 2.3.4.1 The ecoPCR output 2.3.4.2 Filtering of the ecoPCR output 2.3.4.3 Evaluation of primer conservation 2.3.4.4 Taxonomic resolution and Bs index 2.4 Examples of primer pairs available for DNA metabarcoding 3 Reference databases 3.1 Extracting reference databases from EMBL/GenBank/DDBJ 3.1.1 Downloading a local copy of EMBL 3.1.2 Identifying sequences corresponding to the relevant metabarcode 3.2 Marker-specific reference databases 3.2.1 Nuclear rRNA gene reference databases 3.2.2 Eukaryote-specific databases 3.3 Building a local reference database 3.3.1 PCR-based local reference database 3.3.2 Shotgun-based local reference database 3.4 Current challenges and future directions 4 Sampling 4.1 The cycle of eDNA in the environment 4.1.1 State and origin 4.1.2 Fate 4.1.3 Transport 4.2 Sampling design 4.2.1 Focusing on the appropriate DNA population 4.2.2 Defining the sampling strategy 4.3 Sample preservation 5 DNA extraction 5.1 From soil samples 5.2 From sediment 5.3 From litter 5.4 From fecal samples 5.5 From water samples 6 DNA amplification and multiplexing 6.1 Principle of the PCR 6.2 Which polymerase to choose? 6.3 The standard PCR reaction 6.4 The importance of including appropriate controls 6.4.1 Extraction negative controls 6.4.2 PCR negative controls 6.4.3 PCR positive controls 6.4.4 Tagging system controls 6.4.5 Internal controls 6.5 PCR optimization 6.6 How to limit the risk of contamination? 6.7 Blocking oligonucleotides for reducing the amplification of undesirable sequences 6.8 How many PCR replicates? 6.9 Multiplexing several metabarcodes within the same PCR 6.10 Multiplexing many samples on the same sequencing lane 6.10.1 Overview of the problem 6.10.2 Strategy 1: single-step PCR with Illumina adapters 6.10.3 Strategy 2: two-step PCR with Illumina adapters 6.10.4 Strategy 3: single-step PCR with tagged primers 7 DNA sequencing 7.1 Overview of the first, second, and third generations of sequencing technologies 7.2 The Illumina technology 7.2.1 Library preparation 7.2.2 Flow cell, bridge PCR, and clusters 7.2.3 Sequencing by synthesis 7.2.4 Quality scores of the sequence reads 8 DNA metabarcoding data analysis 8.1 Basic sequence handling and curation 8.1.1 Sequencing quality 8.1.1.1 The pros and cons of read quality-based filtering 8.1.1.2 Quality trimming software 8.1.2 Paired-end read pairing 8.1.3 Sequence demultiplexing 8.1.4 Sequence dereplication 8.1.5 Rough sequence curation 8.2 Sequence classification 8.2.1 Taxonomic classification 8.2.2 Unsupervised classification 8.2.3 Chimera identification 8.3 Taking advantages of experimental controls 8.3.1 Filtering out potential contaminants 8.3.2 Removing dysfunctional PCRs 8.4 General considerations on ecological analyses 8.4.1 Sampling effort and representativeness 8.4.1.1 Evaluating representativeness of the sequencing per PCR 8.4.1.2 Evaluating representativeness at the sampling unit or site level 8.4.2 Handling samples with varying sequencing depth 8.4.3 Going further and adapting the ecological models to metabarcoding 9 Single-species detection 9.1 Principle of the quantitative PCR (qPCR) 9.1.1 Recording amplicon accumulation in real time via fluorescence measurement 9.1.2 The typical amplification curve 9.1.3 Quantification of target sequences with the Ct method 9.2 Design and testing of qPCR barcodes targeting a single species 9.2.1 1he problem of specificity 9.2.2 qPCR primers and probe 9.2.3 Candidate qPCR barcodes 9.3 Additional experimental considerations 9.3.1 General issues associated with sampling, extraction, and PCR amplification 9.3.2 The particular concerns of contamination and inhibition 10 Environmental DNA for functional diversity 10.1 Functional diversity from DNA metabarcoding 10.1.1 Functional inferences 10.1.2 Targeting active populations 10.2 Metagenomics and metatranscriptomics: sequencing more than a barcode 10.2.1 General sampling constraints 10.2.1.1 Optimization of the number of samples 10.2.1.2 Enrichment in target organisms 10.2.1.3 Enrichment in functional information 10.2.2 General molecular constraints 10.2.3 From sequences to functions 10.2.3.1 Assembling (or not) a metagenome 10.2.3.2 Sorting contigs or reads in broad categories 10.2.3.3 Extracting functional information via taxonomic inferences 10.2.3.4 Functional annotation of metagenomes 11 Some early landmark studies 11.1 Emergence of the concept of eDNA and first results on microorganisms 11.2 Examining metagenomes to explore the functional information carried by eDNA 11.3 Extension to macroorganisms 12 Freshwater ecosystems 12.1 Production, persistence, transport, and delectability of eDNA in freshwater ecosystems 12.1.1 Production 12.1.2 Persistence 12.1.3 Transport/ diffusion distance 12.1.4 Detectability 12.2 Macroinvertebrates 12.3 Diatoms and microeukaryotes 12.4 Aquatic plants 12.5 Fish, amphibians, and other vertebrates 12.5.1 Species detection 12.5.2 Biomass estimates 12.6 Are rivers conveyer belts of biodiversity information? 13 Marine environments 13.1 Environmental DNA cycle and transport in marine ecosystems 13.2 Marine microbial diversity 13.3 Environmental DNA for marine macroorganisms 14 Terrestrial ecosystems 14.1 Delectability, persistence, and mobility of eDNA in soil 14.2 Plant community characterization 14.3 Earthworm community characterization 14.4 Bacterial community or metagenome characterization 14.5 Multitaxa diversity surveys 1 5 Paleoenvironments 15.1 Lake sediments 15.1.1 Pollen, macrofossils, and DNA metabarcoding 15.1.2 Plants and mammals from Lake Anteme 15.1.3 Viability in the ice-free corridor in North America 15.2 Permafrost 15.2.1 Overview of the emergence of permafrost as a source of eDNA 15.2.2 Large-scale analysis of permafrost samples for reconstructing past plant communities 15.3 Archaeological midden material 15.3.1 Bulk archaeological fish bones from Madagascar 15.3.2 Midden from Greenland to assess past human diet 16 Host-associated microbiota 16.1 DNA dynamics 16.2 Early molecular-based works 16.3 Post-holobiont works 17 Diet analysis 17.1 Some seminal diet studies 17.1.1 Proof of concept-analyzing herbivore diet using next-generation sequencing 17.1.2 Assessing the efficiency of conservation actions in Bialowieza forest 17.1.3 Characterizing carnivore diet, or how to disentangle predator and prey eDNA 17.1.4 Analyzing an omnivorous diet, or integrating several diets in a single one 17.2 Methodological and experimental specificities of eDNA diet analyses 17.2.1 eDNAsources 17.2.1.1 Feces 17.2.1.2 Gut content 17.2.1.3 Whole body 17.2.2 Quantitative aspects 17.2.2.1 Relationship between the amount of ingested food and DNA quantity in the sample 17.2.2.2 Quantifying DNA with PCR and next-generation sequencing 17.2.2.3 Empirical correction of abundances 17.2.3 Diet as a sample of the existing biodiversity 17.2.4 Problematic diets 18 Analysis of bulk samples 18.1 What is a bulk sample? 18.2 Case studies 18.2.1 Bulk insect samples for biodiversity monitoring 18.2.2 Nematode diversity in tropical rainforest 18.2.3 Marine metawan diversity in benthic ecosystems 18.3 Metabarcoding markers for bulk samples 18.4 Alternative strategies 19 The future of eDNA metabarcoding 19.1 PCR-based approaches 19.1.1 Singl

Note: Contents: 1: Introduction ; 2: Framework ; 3: Traditional topics ; 4: Constrained credit ; 5: Net worth ; 6: Real estate ; 7: Commerical banks ; 8: Methods

Note: Contents Preface Introduction to the second edition What this book is about How the book is organized Why R? Updates Acknowledgements Chapter 1: Getting and Getting Acquainted with R 1.1 Getting started 1.2 Getting R 1.3 Getting R Studio 1.4 Let's play 1.5 Usin g R as a giant calculator (the size of your computer) 1.6 Your first script 1.7 Intermezzo remarks 1.8 Important functionality: packages 1.9 Getting help 1.10 A mini-practical - some in-depth play 1.11 Some more top tips and hints for a successful first (and more) R experience Appendix 1a Mini-tutorial solutions Appendix 1b File extensions and operating systems Chapter 2: Getting Your Data into R 2.1 Getting data ready for R 2.2 Getting your data into R 2.3 Checking that your data are your data 2.4 Basic troubleshooting while importing data 2.5 Summing up Appendix Advanced activity: dealing with untidy data Chapter 3: Data Management, Manipulation, and Exploration with dplyr 3.1 Summary statistics for each variable 3.2 dplyr verbs 3.3 Subsetting 3.4 Transforming 3.5 Sorting 3.6 Mini-summary and two top tips 3.7 Calculating summary statistics about groups of your data 3.8 What have you learned ... lots Appendix 3a Comparing classic methods and dplyr Appendix 3b Advanced dplyr Chapter 4: Visualizing Your Data 4.1 The first step in every data analysis — making a picture 4.2 ggplot2: a grammar for graphics 4.3 Box-and-whisker plots 4.4 Distributions: making histograms of numeric variables 4.5 Saving your graphs for presentation, documents, etc. 4.6 Closing remarks Chapter 5: Introducing Statistics in R 5.1 Getting started doing statistics in R 5.2 x2 contingency table analysis 5.3 Two-sample t-test 5.4 Introducing ... linear models 5.5 Simple linear regression 5.6 Analysis of variance: the one-way ANOVA 5.7 Wrapping up Appendix Getting packages not on CRAN Chapter 6: Advancing Your Statistics in R 6.1 Getting started with more advanced statistics 6.2 The two-way ANOVA 6.3 Analysis of covariance (ANCOVA) 6.4 Overview: an analysis workflow Chapter 7: Getting Started with Generalized Linear Models 7.1 Introduction 7.2 Counts and rates — Poisson GLMs 7.3 Doing it wrong 7.4 Doing it right — the Poisson GLM 7.5 When a Poisson GLM isn’t good for counts 7.6 Summary, and beyond simple Poisson regression Chapter 8: Pimping Your Plots: Scales and Themes in ggplot2 8.1 What you already know about graphs 8.2 Preparation 8.3 What you may want to customize 8.4 Axis labels, axis limits, and annotation 8.5 Scales 8.6 The theme 8.7 Summing up Chapter 9: Closing Remarks: Final Comments and Encouragement General Appendices Appendix 1 Data Sources Appendix 2 Further Reading Appendix 3 R Markdown Index

Note: Contents: 1: Introduction ; 2: Climate Change and International Law ; 3: Treaty-Based Lawmaking: Rules, Tools and Techniques ; 4: Evolution of the United Nations Climate Regime ; 5: The Framework Convention on Climate Change ; 6: Kyoto Protocol ; 7: Paris Agreement ; 8: Climate Governance beyond the United Nations Climate Regime ; 9: International Climate Change Law & Other Areas of International Regulation ; 10: Conclusion

Note: 1. Introduction 2. Overview of Linear Algebra 3. Univariate Distribution Theory 4. Multivariate Distribution Theory 5. Introduction to Calculus of Variation 6. Introduction to Control Theory 7. Optimal Control Theory 8. Numerical Solutions to Initial Value Problems 9. Numerical Solutions to Boundary Problems 10. Introduction to Semi-Langrangian Advection Methods 11. Introduction to Finite Element Modeling 12. Numerical Modeling of the Sphere 13. Tangent Linear Modeling and Adjoints 14. Observations 15. Non-variational Sequential Data Assimilation Methods 16. Variational Data Assimilation 17. Subcomponents of Variational Data Assimilation 18. Observation of Space Variation Data Assimilation Methods 19. Kalman Filter and Smoother 20. Ensemble-Based Data Asssimilation 21. Non-Gaussian Variational Data Assimilation 22. Markov Chain Monte Carlo and Particle Filter Methods 23. Applications of Data Asssimilation in the Geosciences 24. Solutions to Select Exercise Bibliography Index

Note: Front Cover --- Introduction to Satellite Remote Sensing --- Introduction to Satellite Remote Sensing: Atmosphere, Ocean, Land and Cryosphere Applications --- Copyright --- Dedication --- Contents --- 1 - THE HISTORY OF SATELLITE REMOTE SENSING --- 1.1 THE DEFINITION OF REMOTE SENSING --- 1.2 THE HISTORY OF SATELLITE REMOTE SENSING --- 1.2.1 THE NATURE OF LIGHT AND THE DEVELOPMENT OF AERIAL PHOTOGRAPHY --- 1.2.2 THE BIRTH OF EARTH-ORBITING SATELLITES --- 1.2.3 THE FUTURE OF POLAR-ORBITING SATELLITES --- 1.2.3.1 The Cross-Track Infrared Sounder --- 1.2.4 OTHER HISTORICAL SATELLITE PROGRAMS --- 1.2.4.1 The NIMBUS Program --- 1.2.4.2 The Landsat Program --- 1.2.4.3 The Defense Meteorological Satellite Program --- 1.2.4.4 Geostationary Weather Satellites --- 1.2.4.4.1 GOES-R --- 1.3 STUDY QUESTIONS --- 2 - BASIC ELECTROMAGNETIC CONCEPTS AND APPLICATIONS TO OPTICAL SENSORS --- 2.1 MAXWELL'S EQUATIONS --- 2.2 THE BASICS OF ELECTROMAGNETIC RADIATION --- 2.3 THE REMOTE SENSING PROCESS --- 2.4 THE CHARACTER OF ELECTROMAGNETIC WAVES --- 2.4.1 DEFINITION OF RADIOMETRIC TERMS --- 2.4.2 POLARIZATION AND THE STOKES VECTOR --- 2.4.3 REFLECTION AND REFRACTION AT THE INTERFACE OF TWO FLAT MEDIA --- 2.4.4 BREWSTER'S ANGLE --- 2.4.5 CRITICAL ANGLE --- 2.4.6 ALBEDO VERSUS REFLECTANCE --- 2.5 ELECTROMAGNETIC SPECTRUM: DISTRIBUTION OF RADIANT ENERGIES --- 2.5.1 GAMMA, X-RAY, AND ULTRAVIOLET PORTIONS OF THE ELECTROMAGNETIC SPECTRUM --- 2.5.2 VISIBLE SPECTRUM --- 2.5.3 THERMAL INFRARED SPECTRUM --- 2.5.4 MICROWAVE SPECTRUM --- 2.6 ATMOSPHERIC TRANSMISSION --- 2.6.1 SPECTRAL WINDOWS --- 2.6.2 ATMOSPHERIC EFFECTS --- 2.6.2.1 Beer-Lambert Absorption Law --- 2.6.2.2 Beer-Lambert Absorption Law: Opacity --- 2.6.2.3 Atmospheric Scattering --- 2.7 SENSORS TO MEASURE PARAMETERS OF THE EARTH'S SURFACE --- 2.8 INCOMING SOLAR RADIATION --- 2.9 INFRARED EMISSIONS --- 2.10 SURFACE REFLECTANCE: LAND TARGETS --- 2.10.1 LAND SURFACE MIXTURES --- 2.11 STUDY QUESTIONS --- 3 - OPTICAL IMAGING SYSTEMS --- 3.1 PHYSICAL MEASUREMENT PRINCIPLES --- 3.2 BASIC OPTICAL SYSTEMS --- 3.2.1 PRISMS --- 3.2.2 FILTER-WHEEL RADIOMETERS --- 3.2.2.1 An Example: The Cloud Absorption Radiometer --- 3.2.2.2 Filters --- 3.2.3 GRATING SPECTROMETER --- 3.2.4 INTERFEROMETER --- 3.3 SPECTRAL RESOLVING POWER --- THE RAYLEIGH CRITERION --- 3.4 DETECTING THE SIGNAL --- 3.5 VIGNETTING --- 3.6 SCAN GEOMETRIES --- 3.7 FIELD OF VIEW --- 3.8 OPTICAL SENSOR CALIBRATION --- 3.8.1 VISIBLE WAVELENGTHS CALIBRATION --- 3.8.2 POLARIZATION FILTERS --- 3.9 LIGHT DETECTION AND RANGING --- 3.9.1 PHYSICS OF THE MEASUREMENT --- 3.9.2 OPTICAL AND TECHNOLOGICAL CONSIDERATIONS --- 3.9.3 APPLICATIONS OF LIDAR SYSTEMS --- 3.9.4 WIND LIDAR --- 3.9.4.1 Vector Wind Velocity Determination --- 3.9.4.1.1 Velocity Azimuth Display LIDAR Vector Wind Method --- 3.9.4.1.2 Doppler Beam Swinging LIDAR Vector Wind Method --- 3.9.4.2 Direct Detection Doppler Wind LIDAR --- 3.9.4.3 LIDAR Wind Summary --- 3.10 STUDY QUESTIONS --- 4 - Microwave Radiometry --- 4.1 Basic Concepts on Microwave Radiometry --- 4.1.1 Blackbody Radiation --- 4.1.2 Gray-body Radiation: Brightness Temperature and Emissivity --- 4.1.3 General Expressions for the Emissivity --- 4.1.3.1 Simple Emissivity Models: Emission From a Perfect Specular Surface --- 4.1.3.2 Simple Emissivity Models: Emission From a Lambertian Surface --- 4.1.3.1 Simple Emissivity Models: Emission From a Perfect Specular Surface --- 4.1.3.2 Simple Emissivity Models: Emission From a Lambertian Surface --- 4.1.4 Power Collected by an Antenna Surrounded by a Blackbody --- 4.1.5 Power Collected by an Antenna Surrounded by a Gray body: Apparent Temperature and Antenna Temperature --- 4.2 The Radiative Transfer Equation --- 4.2.1 The Complete Polarimetric Radiative Transfer Equation --- 4.2.2 Usual Approximations to the Radiative Transfer Equation --- 4.3 Emission Behavior of Natural Surfaces --- 4.3.1 The Atmosphere --- 4.3.1.1 Attenuation by Atmospheric Gases --- 4.3.1.2 Attenuation by Rain --- 4.3.1.3 Attenuation by Clouds and Fog --- 4.3.2 The Ionosphere --- 4.3.2.1 Faraday Rotation --- 4.3.2.2 Ionospheric Losses: Absorption and Emission --- 4.3.3 Land Emission --- 4.3.3.1 Soil Dielectric Constant Models --- 4.3.3.2 Bare Soil Emission --- 4.3.3.3 Vegetated Soil Emission --- 4.3.3.4 Snow-Covered Soil Emission --- 4.3.3.5 Topography Effects --- 4.3.4 Ocean Emission --- 4.3.4.1 Water Dielectric Constant Behavior --- 4.3.4.2 Calm Ocean Emission --- 4.3.4.2.1 Influence of the Salinity --- 4.3.4.2.2 Influence of Frequency --- 4.3.4.2.3 Influence of the Water Temperature --- 4.3.4.3 Influence of the Sea State --- 4.3.4.3.1 Influence of the Look Angle --- 4.3.4.4 Emissivity of the Sea Surface Covered With Oil --- 4.3.4.5 Emissivity of the Sea Ice Surface --- 4.4 Understanding Microwave Radiometry Imagery --- 4.5 Applications of Microwave Radiometry --- 4.6 Sensors --- 4.6.1 Historical Review of Microwave Radiometers and Frequency Bands Used --- 4.6.2 Microwave Radiometers: Basic Performance --- 4.6.2.1 Spatial Resolution --- 4.6.2.1.1 Real Aperture Radiometers --- 4.6.2.1.2 Synthetic Aperture Radiometers --- 4.6.2.2 Radiometric Resolution --- 4.6.2.2.1 Real Aperture Radiometers --- 4.6.2.2.2 Synthetic Aperture Radiometers --- 4.6.2.3 Trade-off Between Spatial Resolution and Radiometric Precision --- 4.6.3 Real Aperture Radiometers --- 4.6.3.1 Instrument Considerations --- 4.6.3.1.1 Antenna Considerations --- 4.6.3.1.2 Receiver Considerations --- 4.6.3.1.3 Sampling Considerations --- 4.6.3.2 Types of Real Aperture Radiometers --- 4.6.3.3 Radiometer Calibration --- 4.6.3.3.1 External Calibration --- 4.6.3.3.1.1 Using Hot and Cold Targets --- 4.6.3.3.1.2 Fully Polarimetric Radiometer Calibration Using External Targets --- 4.6.3.3.1.3 Tip Curves --- 4.6.3.3.1.4 Earth Targets: Vicarious Calibration --- 4.6.3.3.2 Internal Calibration --- 4.6.3.3.3 Radiometer Linearity --- 4.6.3.4 Radio Frequency Interference Detection and Mitigation --- 4.6.3.5 Example: Special Sensor Microwave Imager Radiometric and Geometric Corrections --- 4.6.4 Synthetic Aperture Radiometers --- 4.6.4.1 Types of Synthetic Aperture Radiometers --- 4.6.4.1.1 Mills Cross --- 4.6.4.1.2 Synthetic Aperture Radiometers using Matched Filtering --- 4.6.4.1.3 Synthetic Aperture Radiometers using Fourier Synthesis --- 4.6.4.1.3.1 1D Synthetic Aperture Radiometers: Array Thinning --- 4.6.4.1.3.2 2D Synthetic Aperture Radiometers: Array Topologies --- 4.6.4.1.3.3 Other Synthetic Aperture Radiometer Concepts --- 4.6.4.2 Radiometer Calibration --- 4.6.4.2.1 Internal Calibration --- 4.6.4.2.2 External Calibration --- 4.6.4.3 Image Reconstruction --- 4.6.4.4 ESA's SMOS Mission and the MIRAS Instrument --- 4.6.5 Future Trends in Microwave Radiometers --- 4.7 Study Questions --- 5 - RADAR --- 5.1 A COMPACT INTRODUCTION TO RADAR THEORY --- 5.1.1 REMOTE RANGING --- 5.1.2 DOPPLER ANALYSIS --- 5.2 RADAR SCATTERING --- 5.2.1 RADAR FREQUENCY BANDS --- 5.2.2 NORMALIZATIONS OF THE RADAR REFLECTIVITY --- 5.2.3 POINT VERSUS DISTRIBUTED SCATTERERS --- 5.2.4 SPECKLE, MULTILOOK, AND RADIOMETRIC RESOLUTION --- 5.2.5 RADAR EQUATION --- 5.2.6 RADAR WAVES AT AN INTERFACE --- 5.2.7 MULTIPLE REFLECTIONS: DOUBLE BOUNCE, TRIPLE BOUNCE, AND URBAN AREAS --- 5.2.8 BACKSCATTERING OF SURFACES --- 5.2.9 PERIODIC SCATTERING: THE BRAGG MODEL --- 5.2.10 BACKSCATTERING OF VOLUMES --- 5.2.11 OVERALL SUMMARY OF RADAR BACKSCATTER --- 5.2.12 DEPOLARIZATION OF RADAR WAVES --- 5.3 RADAR SYSTEMS --- 5.3.1 RANGE-DOPPLER RADARS --- 5.3.2 OPTIMAL RECEIVER FOR A SINGLE ECHO: THE MATCHED FILTER --- 5.3.3 MATCHED FILTER VERSUS INVERSE FILTER --- 5.3.4 OPTIMAL RECEIVER FOR RANGE-DOPPLER RADAR ECHOES: THE BACKPROJECTION OPERATOR --- 5.3.5 RADAR WAVEFORMS --- 5.3.6 A PARADIGMATIC EXAMPLE: LINEAR FREQUENCY MODULATED PULSES (CHIRPS) --- 5.3.7 GEOMET

Note: Contents: INTRODUCTION ; 1: Ius Constitutionale Commune in América Latina: A Regional Approach to Transformative Constitutionalism ; PART I: FRAMEWORK ; 2: Ius Constitutionale Commune in América Latina: A Conceptual Clarification ; 3: Ius Constitutionale Commune in América Latina: Context, Challenges, and Perspectives ; 4: The Struggle for Rights and the Ius Constitutionale Commune ; 5: A Multidimensional Approach to Equality in the Inter-American Context: Redistribution, Recognition, and Participatory Parity ; 6: Transformative Constitutionalism and the Global South: The View from South Africa ; 7: Preserving the Acquis of Transformative Constitutionalism in Times of Constitutional Crisis: Lessons from the Hungarian Case ; PART II: THE DOMESTIC ELEMENT ; 8: The Mexican Constitution of 1917: An Early Example of Transformative Constitutionalism ; 9: The Amparo as an Instrument of Ius Constitutionale Commune ; 10: The Presidential System in Latin America: A Hallmark and Challenge to a Latin American Ius Constitutionale Commune ; 11: The Roberto Gargarella ; 12: The Block of Constitutionality as the Doctrinal Pivot of a Ius Commune ; 13: Inter-Americanization: Its Legal Bases and Political Impact ; PART III: THE INTER-AMERICAN ELEMENT ; 14: The Inter-American System of Human Rights: Essential Features ; 15: The American Human Rights Navigation: Toward a Ius Commune ; 16: The Conventionality Control as a Core Mechanism of the Ius Constitutionale Commune ; 17: The Transformative Dimension of Inter-American Jurisprudence ; 18: The Impact of Inter-American Judgments by Institutional Empowerment ; 19: The Added Value of the Inter-American Human Rights System: Comparative Thoughts

Note: Contents: 1: A functional approach to biological diversity ; 2: Trait-based ecology: definitions, methods, and a conceptual framework ; 3: The functional characterisation of plants ; 4: Gradients, response traits, and ecological strategies ; 5: A functional approach to plant community structure ; 6: Plant traits and ecosystem properties ; 7: Functional diversity and ecosystem services ; 8: Functional diversity in agriculture: the cases of grasslands and crop weeds ; 9: Managing functional diversity data ; 10: Perspectives for functional diversity research

Note: Climate change and non-ideal theory : six ways of responding to non-compliance / Simon Caney -- A climate of disorder : what to do about the obstacles to effective climate politics / Aaron Maltais -- Difference-making and individuals' climate-related obligations / Holly Lawford-Smith -- Reducing injustice within the bounds of motivation / Dominic Roser -- Taking UNFCCC norms seriously / Darrel Moellendorf -- Justice and choice of legal instrument under the Durban mandate : ideal and not so ideal legal forms / Peter Lawrence -- Emissions trading schemes in a 'non-Ideal' world / Jonathan Aldred -- A responsible path : advancing a full-participation climate regime through enhanced action on short-lived climate pollutants / Andrew Light and Gwynne Taraska -- Climate justice for LDCs through global decisions / Achala Abeysinghe and Saleemul Huq -- A free movement passport for the territorially dispossessed / Clare Heyward and Jorgen Odalen -- Aristotle on the ethics of communicating climate change / Melissa Lane and Michael Lamb -- Moral language in climate politics / Jonathan Pickering -- The costs of moralizing : how about a 'government house climate ethics'? / Christian Seidel -- Principles or pathways? Improving the contribution of philosophical ethics to climate policy / Martin Kowarsch and Ottmar Edenhofer..

Note: Contents: Section 1: The Facts of Economic Growth and Economic Fluctuation ; Chapter 1: RBC Methodology and the Development of Aggregate Economic Theory ; Chapter 2: The Facts of Economic Growth ; Chapter 3: Macroeconomic Shocks and Their Propagation ; Chapter 4: Macroeconomic Regimes and Regime Shifts ; Chapter 5: The Macroeconomics of Time Allocation ; Chapter 6: "Who Bears the Cost of Recessions? The Role of House Prices and Household Debt" ; Chapter 7: "Allocative and Remitted Wages: New Facts and Challenges for Keynesian Models" ; Chapter 8: Financial and Fiscal Crises ; Section 2: The Methodology of Macroeconomics ; Chapter 9: Factor Models and Structural Vector Autoregressions in Macroeconomics ; Chapter 10: Solution and Estimation Methods for DSGE Models ; Chapter 11: Recursive Contracts and Endogenously Incomplete Markets ; Chapter 12: Macroeconomics and Household Heterogeneity ; Chapter 13: Natural Experiments in Macroeconomics ; Chapter 14: Accounting for Business Cycles ; Chapter 15: "Incomplete Information in Macroeconomics: Accommodating Frictions in Coordination" ; Chapter 16: New Methods for Macro-Financial Model Comparison and Policy Analysis

Note: Contents: Section 3: Financial-Real Connections ; Chapter 17: "Wholesale Banking and Bank Runs in Macroeconomic Modelling of Financial Crises" ; Chapter 18: "Housing and Credit Markets: Bubbles and Crashes" ; Chapter 19: Macro, Money and Finance: A Continuous-Time Approach ; Chapter 20: Housing and Macroeconomics ; Chapter 21: Term Structure of Uncertainty in the Macroeconomy ; Chapter 22: Quantitative Models of Sovereign Debt Crises ; Section 4: Models of Economic Growth and Fluctuations ; Chapter 23: Families in Macroeconomics ; Chapter 24: Environmental Macroeconomics ; Chapter 25: The Staying Power of Staggered Wage and Price Setting Models in Macroeconomics ; Chapter 26: Neoclassical Models in Macroeconomics ; Chapter 27: Macroeconomics of Persistent Slumps ; Chapter 28: Macroeconomics and the Labor Market ; Section 5: Macroeconomic Policy ; Chapter 29: Challenges for Central Banks' Macro Models ; Chapter 30: Liquidity requirements, liquidity choice and financial stability ; Chapter 31: "Understanding Inflation as a Joint Monetary-Fiscal Phenomenon" ; Chapter 32: "Fiscal Multipliers: Liquidity Traps and Currency Unions" ; Chapter 33: What is a Sustainable Public Debt? ; Chapter 34: The Political Economy of Government Debt

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.

Note: Exploring the politics of inclusive development : towards a new conceptual approach / Sam Hickey, Kunal Sen, and Badru BukenyaThe political determinants of economic growth : an analytical review / Kunal Sen -- The politics of what works for the poor in public expenditure and taxation / Paul Mosley -- Governing natural resources for inclusive development / Anthony Bebbington -- The politics of what works in service delivery / Claire Mcloughlin -- Political factors in the growth of social assistance / Armando Barrientos and Sony Pellissery -- The politics and process of rule of law systems in developmental states / Deval Desai and Michael Woolcock -- The gendered politics of securing inclusive development / Sohela Nazneen and Simeen Mahmud -- Ethnicity, state capacity, and development : reconsidering causal connections / Prerna Singh and Matthias vom Hau -- The politics of aid revisited : a review of evidence on state capacity and elite commitment / Arjan de Haan and Ward Warmerdam -- China in Africa : impacts and prospects for accountable development / Giles Mohan..

Note: 1. The basic idea -- 2. Seafloor spreading and magnetic anomalies -- 3. Fracture zones and transform faults -- 4. Subduction of oceanic lithosphere -- 5. Rigid plates of lithosphere -- 6. Tectonics of continents -- 7. From whence to whither?

Note: Contents Preface Acknowledgements List of Abbreviations Part 1: Introduction and Background Chapter 1. Introduction to the Arctic: Significance and History 1.1 The Arctic Ocean and Its Significance for the Earth's Climate System 1.2 History of Arctic Ocean Research 1.3 Plate Tectonic Evolution and Palaeogeography 1.4 Glaciations in Earth's History Chapter 2. Modern Physiography, Hydrology, Climate, and Sediment Input 2.1 Bathymetry and Physiography 2.2 Oceanic Circulation Pattern and Water-Mass Characteristics 2.3 Sea-Ice Cover: Extent, Thickness, and Variability 2.4 Primary Production and Vertical Carbon Fluxes in the Arctic Ocean 2.5 River Discharge 2.6 Permafrost 2.7 Coastal Erosion 2.8 Aeolian Input 2.9 Modern Sediment Input: A Summary Part 2: Processes and Proxies Chapter 3. Glacio-Marine Sedimentary Processes 3.1 Sea-Ice Processes: Sediment Entrainment and Transport 3.2 Ice Sheet- and Iceberg-Related Processes 3.3 Sediment Mass-Wasting Processes 3.4 Turbidite Sedimentation in the Central Arctic Ocean Chapter 4. Proxies Used for Palaeoenvironmental Reconstructions in the Arctic Ocean 4.1 Lithofacies Concept 4.2 Grain-Size Distribution 4.3 Proxies for Sources and Transport Processes of Terrigenous Sediments 4.4 Trace Elements Used for Palaeoenvironmental Reconstruction 4.5 Micropalaeontological Proxies and Their (Palaeo-) Environmental and Stratigraphical Significance 4.6 Stable Isotopes of Foraminifers 4.7 Organic-Geochemical Proxies for Organic-Carbon Source and Palaeoenvironment Part 3: The Marine-Geological Record 5 Modern Environment and its record in surface sediments 5.1 Terrigenous (non-biogenic) components in Arctic Ocean surface sediments: Implications for provenance and modern transport processes 5.2 Organic-Carbon Content: Terrigenous Supply versus Primary Production Chapter 6. Quaternary Variability of Palaeoenvironment and Its Sedimentary Record 6.1 The Stratigraphic Framework of Arctic Ocean Sediment Cores: Background, Problems, and Perspectives 6.2 Variability of Quaternary Ice Sheets and Palaeoceanographic Characteristics: Terrestrial, Model, and Eurasian Continental Margin Records 6.3 Circum-Arctic Glacial History, Sea-Ice Cover, and Surface-Water Characteristics: Quaternary Records from the Central Arctic Ocean 6.4 Accumulation of Particulate Organic Carbon at the Arctic Continental Margin and Deep-Sea Areas During Late Quaternary Times Chapter 7. Mesozoic to Cenozoic Palaeoenvironmental Records of High Northern Latitudes 7.1 Mesozoic High-Latitude Palaeoclimate and Arctic Ocean Palaeoenvironment 7.2 Cenozoic High-Latitude Palaeoclimate and Arctic Ocean Palaeoenvironment Chapter 8. Open Questions and Future Geoscientific Arctic Ocean Research 8.1 Quaternary and Neogene Climate Variability on Sub-Millennial to Milankovich Time Scales 8.2 The Mesozoic-Cenozoic History of the Arctic Ocean References Index