ALBERT

Note: Part 1: Recycling in context Chapter 1: Introduction Abstract 1.1: The Challenges 1.2: The Role of Materials in Society 1.3: From Linear to Circular Economy 1.4: Recycling in the Circular Economy 1.5: The Book References Chapter 2: The fundamental limits of circularity quantified by digital twinning Abstract 2.1: Introduction 2.2: A Product and Material Focus on Recycling Within the CE 2.3: Digital Twinning of the CE System: Understanding the Opportunities and Limits 2.4: Opportunities and Challenges References Chapter 3: Maps of the physical economy to inform sustainability strategies Abstract Acknowledgments 3.1: Introduction 3.2: Dimensions of MFA 3.3: Components for Monitoring the Physical Economy 3.4: Application of the Framework: Maps of the Aluminum Cycle 3.5: Recommendations References Chapter 4: Material efficiency—Squaring the circular economy: Recycling within a hierarchy of material management strategies Abstract 4.1: Is a Circular Economy Possible or Desirable? 4.2: Hierarchies of Material Conservation 4.3: When Is Recycling Not the Answer? 4.4: Discussion References Chapter 5: Material and product-centric recycling: design for recycling rules and digital methods Abstract Acknowledgements 5.1: Introduction 5.2: Recyclability Index and Ecolabeling of Products 5.3: DfR Rules and Guidelines 5.4: Product-Centric Recycling 5.5: Examples of Recycling System Simulation 5.6: Summary 5.7: Future Challenges References Additional Reading Chapter 6: Developments in collection of municipal waste Abstract 6.1: Introduction 6.2: Definitions and Models 6.3: A Global Picture of SWM 6.4: Collection and Recovery Systems 6.5: Future Developments 6.6: Conclusion and Outlook References Chapter 7: The path to inclusive recycling: Developing countries and the informal sector Abstract 7.1: Introduction 7.2: Definition and Links With the Formal Sector 7.3: Informal Waste Tire Recycling: Challenges and Opportunities 7.4: Approaches Towards Inclusive Recycling 7.5: Policies and Standardization Developments for Inclusive Recycling 7.6: Conclusion and Outlook References Part 2: Recycling from a product perspective Chapter 8: Physical separation Abstract 8.1: Introduction 8.2: Properties and Property Spaces 8.3: Breakage 8.4: Particle Size Classification 8.5: Gravity Separation 8.6: Flotation 8.7: Magnetic Separation 8.8: Eddy Current Separation 8.9: Electrostatic Separation 8.10: Sorting 8.11: Conclusion References Chapter 9: Sensor-based sorting Abstract 9.1: Mechanical Treatment of Waste 9.2: Principle of Sensor-Based Sorting 9.3: Requirements for Optimal Sorting Results 9.4: Available Sensors 9.5: Application of Different Sensors in Recycling 9.6: Recent Developments 9.7: Outlook References Chapter 10: Mixed bulky waste Abstract 10.1: Introduction 10.2: The Circular Process for Mixed Bulky Waste 10.3: Conditions for Economically Viable Sorting 10.4: Sorting of Mixed Bulky Waste 10.5: Sorting Process 10.6: Recycling Efficiency 10.7: Conclusion and Outlook Reference Chapter 11: Packaging Abstract 11.1: Introduction 11.2: Packaging Waste 11.3: Composition 11.4: Recovery and Recycling 11.5: Collection and Recovery Schemes 11.6: Conclusion and Outlook References Chapter 12: End-of-life vehicles Abstract 12.1: Introduction 12.2: Vehicle Composition 12.3: Recycling Chain 12.4: Recycling of Automotive parts 12.5: Recycling of Automotive Fluids 12.6: Automotive Shredder Residue 12.7: Future Developments and Outlook 12.8: Conclusions References Further Reading Chapter 13: Electrical and electronic equipment (WEEE) Abstract 13.1: Introduction 13.2: Waste Characterization 13.3: Recycling Chain and Technologies 13.4: Future Developments 13.5: Conclusions References Chapter 14: Photovoltaic and wind energy equipment Abstract 14.1: Introduction 14.2: Wind Turbines 14.3: Photovoltaic Modules 14.4: Wind Turbine Recycling 14.5: PV Recycling 14.6: Future Developments 14.7: Key Issues and Challenges 14.8: Conclusions and Outlook References Chapter 15: Buildings Abstract 15.1: The Why: Buildings and Circularity 15.2: The How and Who: A Framework 15.3: The When: Shearing Layers 15.4: The What: Materials in Buildings 15.5: Improving Data on Materials 15.6: The How, Who, When, and What 15.7: Outlook References Chapter 16: Construction and demolition waste Abstract Acknowledgments 16.1: Introduction 16.2: C&D Waste Use 16.3: Recycling 16.4: Recycling Technologies and Practice 16.5: Future Developments 16.6: Conclusion and Outlook References Chapter 17: Industrial by-products Abstract 17.1: Waste, By-product, or Product? 17.2: Major By-products 17.3: Where and How to Use By-products 17.4: Technical and Environmental Requirements 17.5: Sustainability Aspects 17.6: Conclusions, Challenges, and Outlook References Chapter 18: Mine tailings Abstract 18.1: Introduction 18.2: Future Opportunities for Tailings Management 18.3: Main Drivers for Change 18.4: Emerging Technologies 18.5: Conclusions and Outlook References Further Reading Part 3: Recycling from a material perspective Chapter 19: Steel Abstract 19.1: Introduction 19.2: Use Phase and Recycling Examples 19.3: Classification of Steel Scrap 19.4: Requirements for Scrap 19.5: Treatment Process 19.6: Steel Scrap Smelting Process 19.7: Steel 19.8: Alloy or Tramp Elements? 19.9: Purification of Scrap 19.10: Outlook References Further Reading Chapter 20: Aluminum Abstract 20.1: Introduction 20.2: Alloys and Their Recycling 20.3: Melt Loss 20.4: Used Beverage Can (UBC) Recycling 20.5: Wheel Recycling 20.6: Dross Processing 20.7: Purification and Refining 20.8: Future Trends and Challenges References Chapter 21: Copper Abstract 21.1: Sources of Copper Scrap 21.2: Smelting and Refining of Copper Scrap 21.3: Conclusions and Outlook References Further Reading Chapter 22: Lead Abstract 22.1: Introduction 22.2: Material Use 22.3: The Lead-Acid Battery 22.4: Recycling Technologies 22.5: Future Developments 22.6: Key Issues and Challenges References Chapter 23: Zinc Abstract 23.1: Introduction 23.2: Recycling Technologies 23.3: Key Issues and Challenges References Chapter 24: Ferroalloy elements Abstract 24.1: Introduction 24.2: Use and Recycling 24.3: Recycling of Residues 24.4: Conclusion References Chapter 25: Precious and technology metals Abstract 25.1: Introduction 25.2: Applications 25.3: Scrap Types and Quantities 25.4: Recycling Technologies 25.5: Future Challenges 25.6: Conclusions and Outlook Further reading References Chapter 26: Concrete and aggregates Abstract Acknowledgment 26.1: Introduction 26.2: Waste Flows 26.3: Recovery Rates 26.4: Recycled Aggregate Concrete Applications 26.5: Concrete Recycling Technologies 26.6: Future Developments 26.7: Conclusion References Chapter 27: Cementitious binders incorporating residues Abstract 27.1: Introduction 27.2: Clinker Production: Process, and Alternative Fuels and Raw Materials 27.3: From Clinker to Cement: Residues in Blended Cements 27.4: Alternative Cements With Lower Environmental Footprint 27.5: Conclusions and Outlook References Chapter 28: Glass Abstract 28.1: Introduction 28.2: Types of Glass 28.3: Manufacturing 28.4: Recovery for Reuse and Recycling 28.5: Reuse 28.6: Closed-Loop Recycling 28.7: Open-Loop Recycling 28.8: Conclusion and Outlook References Chapter 29: Lumber Abstract 29.1: Introduction 29.2: Wood Material Uses 29.3: Postuse Wood Recovery for Recycling 29.4: Postuse Wood Recycling 29.5: Case Study Scenarios 29.6: Future Developments 29.7: Concluding Remarks References Chapter 30: Paper Abstract 30.1: Introduction 30.2: Collection and Utilization 30.3: Collection and Sorting Systems 30.4: Stock Preparation 30.5: Key Issues and Future Challenges References Further Reading Chapter 31: Plastic recycling Abstract 31.1: Introduction 31.2: Use 31.3: Recycling 31.4: Mechanical Recycling 31.5: Chemical Recycling 31.6: Impact of Recycling 31.7: Conclusions and Outlook References Further Reading Chapter 32: Black rubber products Abstract 32.1: Introduction 32.2: Mechanical Rubber Go

Note: Contents List of contributors Preface 1 Antarctic Climate Evolution - second edition 1.1 Introduction 1.2 Structure and content of the book Acknowledgements References 2 Sixty years of coordination and support for Antarctic science - the role of SCAR 2.1 Introduction 2.2 Scientific value of research in Antarctica and the Southern Ocean 2.3 The international framework in which SCAR operates 2.4 The organisation of SCAR 2.5 Sixty years of significant Antarctic science discoveries 2.6 Scientific Horizon Scan 2.7 Summary References Appendix 3 Cenozoic history of Antarctic glaciation and climate from onshore and offshore studies 3.1 Introduction 3.2 Long-term tectonic drivers and ice sheet evolution 3.3 Global climate variability and direct evidence for Antarctic ice sheet variability in the Cenozoic 3.3.1 Late Cretaceous to early Oligocene evidence of Antarctic ice sheets and climate variability 3.3.2 The Eocene-Oligocene transition and continental-scale glaciation of Antarctica 3.3.3 Transient glaciations of the Oligocene and Miocene 3.3.4 Pliocene to Pleistocene 3.4 Regional seismic stratigraphies and drill core correlations, and future priorities to reconstruct Antarctica's Cenozoic 3.4.1 Ross Sea 3.4.2 Amundsen Sea 3.4.3 Bellingshausen Sea and Pacific coastline of Antarctic Peninsula 3.4.4 The Northern Antarctic Peninsula and South Shetland Islands 3.4.5 The Eastern Margin of the Antarctic Peninsula 3.4.6 The South Orkney Microcontinent and adjacent deep-water basins 3.4.7 East Antarctic Margin 3.4.7.1 Weddell Sea 3.4.7.1.1 Gondwana break-up, Weddell Sea opening and pre-ice-sheet depositional environment 3.4.7.1.2 The Eocene-Oligocene transition and paleoenvironment during increasing glacial conditions 3.4.7.1.3 Recent geophysical survey beneath the Ekström Ice Shelf and future directions for drilling 3.4.7.2 Prydz Bay 3.4.7.2.1 Early Cenozoic greenhouse and earliest glacial phase in late Eocene 3.4.7.2.2 Oligocene-Miocene ice-sheet development 3.4.7.2.3 The Polar Ice Sheet (late Miocene(?)-Pleistocene) 3.4.7.3 East Antarctic Margin - Sabrina Coast 3.4.7.4 Wilkes Land margin and Georges V Land 3.5 Summary, future directions and challenges Acknowledgements References 4 Water masses, circulation and change in the modern Southern Ocean 4.1 Introduction 4.1.1 Defining the Southern Ocean 4.2 Water masses - characteristics and distribution 4.2.1 Upper ocean 4.2.2 Intermediate depth waters 4.2.3 Deep water 4.2.4 Bottom water 4.3 Southern Ocean circulation 4.3.1 Antarctic Circumpolar Current (ACC) 4.3.2 Southern Ocean meridional overturning circulation (SOMOC) 4.3.3 Deep western boundary currents 4.3.3.1 Pacific deep western boundary current 4.3.3.2 Indian deep western boundary currents 4.3.3.3 Atlantic deep western boundary current 4.3.4 Subpolar circulation - gyres, slope and coastal currents 4.3.4.1 Gyres 4.3.4.2 Antarctic slope and coastal currents 4.4 Modern Southern Ocean change 4.4.1 Climate change 4.4.2 Ocean change 4.4.3 Change in dynamics and circulation 4.5 Concluding remarks References 5 Advances in numerical modelling of the Antarctic ice sheet 5.1 Introduction and aims 5.2 Advances in ice sheet modelling 5.2.1 Grounding line physics 5.2.2 Adaptive grids 5.2.3 Parallel ice sheet model - PISM 5.2.4 Coupled models 5.3 Model input - bed data 5.4 Advances in knowledge of bed processes 5.5 Model intercomparison 5.6 Brief case studies 5.7 Future work References 6 The Antarctic Continent in Gondwana: a perspective from the Ross Embayment and Potential Research Targets for Future Investigations 6.1 Introduction 6.2 The Antarctic plate and the present-day geological setting of the Ross Embayment 6.3 East Antarctica 6.3.1 The Main Geological Units during the Paleoproterozoic-Early Neoproterozoic Rodinia Assemblage 6.3.2 From Rodinia breakup to Gondwana (c. 800-650 Ma) 6.3.3 The 'Ross Orogen' in the Transantarctic Mountains during the late Precambrian-early Paleozoic evolution of the paleo-Pacific margin of Gondwana (c. 600-450 Ma) 6.4 West Antarctic Accretionary System 6.4.1 West Antarctica in the Precambrian to Mesozoic (c. 180 Ma) evolution of Gondwana until the middle Jurassic breakup 6.4.1.1 Precambrian to Cambrian metamorphic basement 6.4.1.2 Devono-Carboniferous arc magmatism ('Borchgrevink Event') (c. 370-350 Ma) 6.4.1.3 Beacon Supergroup (Devonian-Permo-Triassic-earliest Jurassic) 6.4.1.4 The Ellsworth-Whitmore Mountains Terrane and the Permo-Triassic arc magmatism 6.4.1.5 Ferrar Supergroup and the Gondwana breakup (c. 180Ma) 6.4.1.6 The Antarctic Andean Orogen 6.5 Mesozoic to Cenozoic Tectonic Evolution of the Transantarctic Mountains 6.6 Tectonic evolution in the Ross Sea Sector during the Cenozoic 6.7 Concluding remarks, open problems and potential research themes for future geoscience investigations in Antarctica 6.7.1 Persistent challenges for onshore geoscience investigations 6.7.2 Antarctica and the Ross Orogen in the Transantarctic Mountains 6.7.3 Antarctica after Gondwana fragmentation Acknowledgements References 7 The Eocene-Oligocene boundary climate transition: an Antarctic perspective 7.1 Introduction 7.2 Background 7.2.1 Plate tectonic setting 7.2.2 Antarctic paleotopography 7.2.3 Paleoceanographic setting 7.2.4 Global average and regional sea level response 7.2.5 Proxies to reconstruct past Antarctic climatic and environmental evolution 7.2.6 Far-field proxies 7.3 Antarctic Sedimentary Archives 7.3.1 Land-based outcrops 7.3.1.1 Antarctic Peninsula Region 7.3.1.2 King George (25 de Mayo) Island, South Shetland Islands 7.3.1.3 The Ross Sea Region 7.3.2 Sedimentary archives from drilling on the Antarctic Margin 7.3.2.1 Drill cores in the western Ross Sea 7.3.2.2 The Prydz Bay Region 7.3.2.3 Weddell Sea 7.3.2.4 Wilkes Land 7.4 Summary of climate signals from Antarctic sedimentary archives 7.4.1 Longer-term changes 7.4.2 The climate of the Eocene-Oligocene transition 7.5 The global context of Earth and climate system changes across the EOT 7.5.1 Climate modelling 7.5.2 Relative sea-level change around Antarctica 7.6 Summary 7.6.1 Early-middle Eocene polar warmth 7.6.2 Late Eocene cooling 7.6.3 Eocene-Oligocene transition Acknowledgements References 8 Antarctic Ice Sheet dynamics during the Late Oligocene and Early Miocene: climatic conundrums revisited 8.1 Introduction 8.2 Oligocene-Miocene Transition in Antarctic geological records and its climatic significance 8.3 Conundrums revisited 8.3.1 What caused major transient glaciation of Antarctica across the OMT? 8.3.2 Apparent decoupling of Late Oligocene climate and ice volume? 8.4 Concluding remarks Acknowledgements References 9 Antarctic environmental change and ice sheet evolution through the Miocene to Pliocene - a perspective from the Ross Sea and George V to Wilkes Land Coasts 9.1 Introduction 9.1.1 Overview and relevance 9.1.2 Far-field records of climate and ice sheet variability 9.1.2.1 The Early Miocene 9.1.2.2 The mid-Miocene 9.1.2.3 The Late Miocene 9.1.2.4 The Pliocene 9.1.3 Southern Ocean Paleogeography and Paleoceanography 9.1.4 Land elevation change and influences on Antarctic Ice Sheet evolution 9.2 Records of Miocene to Pliocene climate and ice sheet variability from the Antarctic margin 9.2.1 Introduction to stratigraphic records 9.2.2 George V Land to Wilkes Land Margin 9.2.2.1 Geological setting 9.2.2.2 Oceanography of the Adelie coast 9.2.2.3 Seismic stratigraphy off the George V Land to Wilkes Land Margin 9.2.2.4 Drill core records from the George V Land to Wilkes Land Margin 9.2.2.5 Neogene history of the George V Land to Wilkes Land margin 9.2.3 The Ross Sea Embayment and Southern Victoria Land 9.2.3.1 Geological setting 9.2.3.2 Oceanography and climate in the Ross Sea Region 9.2.3.3 Seismic stratigraphic records in the Ross Sea 9.2.3.4 Stratigraphic records from drill cores in the Ross Sea 9.2.3.5 Terrestrial records from Southern Victoria Land 9.2.3.6 Neogene history in the Ross Sea Region 9.3 Numerical modelling 9.3.1 Miocene

Note: Contents Contributors Editorial foreword Preface CHAPTER 1 Snow and ice-related hazards, risks, and disasters: Facing challenges of rapid change and long-term commitments / Wilfried Haeberli and Colin Whiteman 1.1 Introduction 1.2 Costs and benefits: Living with snow and ice 1.3 Small and large, fast and slow, local to global: Dealing with constraints 1.4 Beyond historical experience: Monitoring, modeling, and managing rapid and irreversible changes Acknowledgments References CHAPTER 2 Physical, thermal, and mechanical properties of snow, ice, and permafrost / Lukas Arenson (U.), William Colgan, and Hans Peter Marshall 2.1 Introduction 2.2 Density and structure 2.2.1 Snow 2.2.2 Ice 2.2.3 Frozen ground/permafrost 2.3 Thermal properties 2.3.1 Snow 2.3.2 Ice 2.3.3 Frozen ground 2.4 Mechanical properties 2.4.1 Brittle behavior 2.4.2 Ductile behavior 2.5 Electromagnetic and wave properties 2.5.1 Snow 2.5.2 Ice 2.5.3 Frozen ground 2.6 Summary Acknowledgment References.. CHAPTER 3 Snow and ice in the climate system / Atsumu Ohmura 3.1 Introduction 3.2 Physical extent of the cryosphere 3.3 Climatic conditions of the cryosphere 3.3.1 Snow cover 3.3.2 Sea ice 3.3.3 Permafrost 3.3.4 Glaciers References CHAPTER 4 Snow and ice in the hydrosphere / Jan Seibert, Michal Jenicek, Matthias Huss, Tracy Ewen, and Daniel Viviroli 4.1 Introduction 4.2 Snow accumulation and melt 4.2.1 Snowpack description 4.2.2 Snow accumulation 4.2.3 Snow redistribution, metamorphism, and ripening process 4.2.4 Snowpack development 4.2.5 Snowmelt 4.3 Glaciers and glacial mass balance 4.3.1 Glacier mass balance 4.3.2 Glacial drainage system 4.3.3 Modeling glacier discharge 4.4 Hydrology of snow- and ice-covered catchments 4.4.1 Influence of snow on discharge 4.4.2 Snowmelt runoff and climate change 4.4.3 Influence of glaciers on discharge 4.4.4 River ice 4.4.5 Seasonally frozen soil and permafrost 4.5 Concluding remarks References CHAPTER 5 Snow, ice, and the biosphere / Terry V. Callaghan and Margareta Johansson 5.1 Introduction 5.2 Adaptations to snow, ice, and permafrost. 5.3 Snow and ice as habitats 5.4 Snow as a moderator of habitat 5.4.1 Modification of winter habitat 5.4.2 Modification of nonwinter habitat 5.4.3 Effects of changing snow on the biosphere 5.5 Ice as a moderator of habitat 5.5.1 Mechanical effects of ice 5.5.2 Effects of changing lake and river ice on the biosphere 5.5.3 Effects of changing sea ice on the biosphere 5.6 Permafrost as a moderator of habitat 5.6.1 Effects of changing permafrost on the biosphere 5.6.2 Snow-permafrost-vegetation interactions 5.7 Vegetation as a moderator of snow, ice, and permafrost habitats 5.8 Conclusions Acknowledgments References CHAPTER 6 Ice and snow as land-forming agents / Darrel A. Swift, Simon Cook, Tobias Heckmann, Isabelle Gärtner-Roer, Oliver Korup, and Jeffrey Moore 6.1 Glacial processes and landscapes 6.1.1 Erosion mechanisms and their controls 6.1.2 Landforms and associated hazards 6.1.3 Landscape evolution and rates of glacial incision 6.1.4 Recommended avenues for further research 6.2 Periglacial and permafrost processes and landforms 6.2.1 Landforms and processes related to seasonal frost and permafrost 6.3 The role of snow in forming landscapes 6.3.1 Influence of snow cover on geomorphic processes 6.3.2 Snow-related geomorphic processes and landforms 6.3.3 Potential impacts of global change on snow-related geomorphic processes 6.3.4 Quantifying rates 6.3.5 Modeling 6.4 Conclusions and outlook Acknowledgments References CHAPTER 7 Mountains, lowlands, and coasts: The physiography of cold landscapes / Tobias Bolch and Hanne H. Christiansen 7.1 Introduction 7.2 Physiography of the terrestrial cryosphere 7.2.1 High altitudes/mountains 7.2.2 Cold lowlands 7.2.3 Cold coasts 7.3 Glaciers and ice sheets: Extent and distribution 7.4 Permafrost types, extent, and distribution 7.5 Glacier-permafrost interactions References CHAPTER 8 A socio-cryospheric systems approach to glacier hazards, glacier runoff variability, and climate change / Mark Carey, Graham McDowell, Christian Huggel, Becca Marshall, Holly Moulton, Cesar Portocarrero, Zachary Provant, John M. Reynolds, and Luis Vicuña 8.1 Introduction 8.2 Integrated adaptation in dynamic socio-cryospheric systems 8.3 Glacier and glacial lake hazards 8.3.1 Cordillera Blanca, Peru 8.3.2 Santa Teresa, Peru 8.3.3 Nepal 8.4 Volcano-ice hazards 8.5 Glacier runoff, hydrologic variability, and water use hazards 8.5.1 Nepal 8.5.2 Peru 8.6 Coastal resources and hazards 8.7 Discussion and conclusions Acknowledgments References CHAPTER 9 Integrative risk management: The example of snow avalanches / Michael Bründl and Stefan Margreth 9.1 Introduction 9.2 Risk analysis 9.2.1 Hazard analysis 9.2.2 Exposure and vulnerability analysis 9.2.3 Consequence analysis and calculation of risk 9.3 Risk evaluation 9.3.1 Evaluation of individual risk 9.3.2 Evaluation of collective risk 9.4 Mitigation of risk 9.4.1 Meaning of mitigation of risk 9.4.2 Technical avalanche mitigation measures 9.4.3 Land-use planning 9.4.4 Biological measures and protection forests 9.4.5 Organizational measures 9.5 Methods and tools for risk assessment and evaluation of mitigation measures 9.6 Case study “Evaluation of avalanche mitigation measures for Juneau, Alaska” 9.6.1 Introduction 9.6.2 Avalanche situation 9.6.3 Hazard analysis 9.6.4 Consequence analysis and risk evaluation 9.6.5 Protection measures 9.6.6 Conclusions 9.7 Final remarks References CHAPTER 10 Permafrost degradation / Dmitry Streletskiy 10.1 Introduction 10.2 Drivers of permafrost and active-layer change across space and time 10.2.1 Role of climate: Air temperature and liquid precipitation 10.2.2 Role of topography 10.2.3 Role of vegetation and snow 10.2.4 Role of soil properties 10.3 Observed permafrost and active-layer changes 10.4 Permafrost modeling and forecasting 10.5 Permafrost degradation and infrastructure hazards 10.5.1 Buildings on permafrost 10.5.2 Pipelines on permafrost 10.5.3 Railroads, roads, and utility on permafrost 10.6 Coastal erosion and permafrost 10.7 Summary Acknowledgments References CHAPTER 11 Radioactive waste under conditions of future ice ages / Urs H. Fischer, Anke Bebiolka, Jenny Brandefelt, Denis Cohen, Joel Harper, Sarah Hirschorn, Mark Jensen, Laura Kennell, Johan Liakka, Jens-Ove Näslund, Stefano Normani, Heidrun Stück, and Axel Weitkamp 11.1 Introduction 11.2 Timing of future glacial inception 11.2.1 Introduction 11.2.2 Definition of glacial inception 11.2.3 Controlling factors of glacial inception 11.2.4 Future long-term variations of insolation and atmospheric greenhouse gas concentrations 11.2.5 Modeling of future glacial inception 11.2.6 Timing of future glacial inception and concluding remarks 11.3 The glacier ice-groundwater interface: Constraints from a transect of the modern Greenland Ice Sheet 11.3.1 Background 11.3.2 Basal thermal state 11.3.3 Framework of the ice-bed interface 11.3.4 Basal water 11.3.5 Summary 11.4 Deep glacial erosion in the Alpine Foreland of northern Switzerland 11.4.1 Background 11.4.2 Ice age conditions 11.4.3 Processes of glacial erosion and glacial overdeepening 11.4.4 Water flow in overdeepenings 11.4.5 Deep glacial erosion in the Swiss Plateau 11.4.6 Future research focus 11.5 Tunnel valleys in Germany and their relevance to the long-term safety of nuclear waste repositories 11.5.1 Background 11.5.2 Formation of tunnel valleys 11.5.3 Tunnel valleys in Northern Germany 11.5.4 Tunnel valleys in the German North Sea 11.5.5 Glacial overdeepening in Southern Germany 11.5.6 Impact of tunnel valley formation on host rocks 11.6 Assessment of glacial impacts on geosphere stability and barrier capacity—Canadian perspective 11.6.1 Background 11.6.2 Bruce Nuclear Site—Location and geologic setting Acknowledgments References CHAPTER 12 Snow avalanches / Jürg Schweizer, Perry Bartelt, and Alec van Herwijnen 12.1 Introduction 12.2 The avalanche phenomenon 12.3 Avalanche release 12.3.1 Dry-snow avalanches 1

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: 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: 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: 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: Preface. - Acknowledgments. - 1. Data Acquisition and Recording. - 1.1 Introduction. - 1.2 Basic Sampling Requirements. - 1.3 Temperature. - 1.4 Salinity. - 1.5 Depth or Pressure. - 1.6 Sea-Level Measurement. - 1.7 Eulerian Currents. - 1.8 Lagrangian Current Measurements. - 1.9 Wind. - 1.10 Precipitation. - 1.11 Chemical Tracers. - 1.12 Transient Chemical Tracers. - 2. Data Processing and Presentation. - 2.1 Introduction. - 2.2 Calibration. - 2.3 Interpolation. - 2.4 Data Presentation. - 3. Statistical Methods and Error Handling. - 3.1 Introduction. - 3.2 Sample Distributions. - 3.3 Probability. - 3.4 Moments and Expected Values. - 3.5 Common PDFs. - 3.6 Central Limit Theorem. - 3.7 Estimation. - 3.8 Confidence Intervals. - 3.9 Selecting the Sample Size. - 3.10 Confidence Intervals for Altimeter-Bias Estimates. - 3.11 Estimation Methods. - 3.12 Linear Estimation (Regression). - 3.13 Relationship between Regression and Correlation. - 3.14 Hypothesis Testing. - 3.15 Effective Degrees of Freedom. - 3.16 Editing and Despiking Techniques: The Nature of Errors. - 3.17 Interpolation: Filling the Data Gaps. - 3.18 Covariance and the Covariance Matrix. - 3.19 The Bootstrap and Jackknife Methods. - 4. The Spatial Analyses of Data Fields. - 4.1 Traditional Block and Bulk Averaging. - 4.2 Objective Analysis. - 4.3 Kriging. - 4.4 Empirical Orrhogonal Functions. - 4.5 Extended Empirical Orrhogonal Functions. - 4.6 Cyclostationary EOFs. - 4.7 Factor Analysis. - 4.8 Normal Mode Analysis. - 4.9 Self Organizing Maps. - 4.10 Kalman Filters. - 4.11 Mixed Layer Depth Estimation. - 4.12 Inverse Methods. - 5. Time Series Analysis Methods. - 5.1 Basic Concepts. - 5.2 Stochastic Processes and Stationarity. - 5.3 Correlation Functions. - 5.4 Spectral Analysis. - 5.5 Spectral Analysis (Parametric Methods). - 5.6 Cross-Spectral Analysis. - 5.7 Wavelet Analysis. - 5.8 Fourier Analysis. - 5.9 Harmonic Analysis. - 5.10 Regime Shift Detection. - 5.11 Vector Regression. - 5.12 Fractals. - 6. Digital Filters. - 6.1 Introduction. - 6.2 Basic Concepts. - 6.3 Ideal Filters. - 6.4 Design of Oceanographic Filters. - 6.5 Running-Mean Filters. - 6.6 Godin-Type Filters. - 6.7 Lanczos-window Cosine Filters. - 6.8 Butterworth Filters. - 6.9 Kaiser-Bessel Filters. - 6.10 Frequency-Domain (Transform) Filtering. - References. - Appendix A: Units in Physical Oceanography. - Appendix B: Glossary of Statistical Terminology. - Appendix C: Means, Variances and Moment,Generating Functions for Some Common Continuous Variables. - Appendix D: Statistical Tables. - Appendix E: Correlation Coefficients at the 5% and 1% Levels of Significance for Various Degrees of Freedom v. - Appendix F: Approximations and Nondimensional Numbers in Physical Oceanography. - Appendix G: Convolution. - Index.

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

Note: TABLE OF CONTENTS Preface Chapter 1. The CO2-Carbonic Acid System and Solution Chemistry Basic Concepts Activity Coefficients in Solutions Influences of Temperature and Pressure The Carbonic Acid System in Seawater Calculation of the Saturation State of Seawater with Respect to Carbonate Minerals Concluding Remarks Chapter 2. Interactions Between Carbonate Minerals and Solutions Sedimentary Carbonate Minerals Basic Concepts Characteristics of Sedimentary Carbonate Minerals Solubility Behavior of Carbonate Minerals General Considerations Calcite and Aragonite Solubility Methods for the Calculation of Equilibrium Solution Composition Under Different Conditions Surface Chemistry of Carbonate Minerals Basic Principles Adsorption of Ions on Carbonate Surfaces Carbonate Dissolution and Precipitation Kinetics Basic Principles Reaction Kinetics in Simple Solutions Reaction Kinetics in Complex Solutions Concluding Remarks Chapter 3. Coprecipitation Reactions and Solid Solutions of Carbonate Minerals General Concepts Background Information Basic Chemical Considerations Coprecipitation of "Foreign" Ions in Carbonate Minerals Examples of Coprecipitation Reactions General Models for Partition Coefficients in Carbonates Magnesian Calcite General Considerations The Fundamental Problems Experimental Observations Hypothesis of a Hydrated Magnesian Calcite Stable Isotope Chemistry General Considerations Oxygen Isotopes Carbon Stable Isotopes Concluding Remarks Chapter 4. The Oceanic Carbonate System and Calcium Carbonate Accumulation in Deep Sea Sediments An Overview of Major Processes The CO2 System in Oceanic Waters The Upper Ocean The Deep Sea Saturation State of Deep Seawater with Respect to CaCO3 Sources and Sedimentation of Deep Sea Carbonates Sources Sedimentation The Distribution of CaCO3 in Deep Sea Sediments and Carbonate Lithofacies General Considerations The Distribution of CaCO3 in Surface Sediments Factors Controlling the Accumulation of Calcium Carbonate in Deep Sea Sediments General Relations Factors Leading to Variability Near Interfacial Processes Variability of Calcium Carbonate Deposition in Deep Sea Sediments with Time Influence of Glacial Times The Impact of Fossil Fuel CO2 on the Ocean-Carbonate System Concluding Remarks Chapter 5. Composition and Source of Shoal-Water Carbonate Sediments Introduction Shoal-Water Carbonates in Space and Time Carbonate Grains and Skeletal Parts Overview and Examples Sediment Classification Depositional Environments Concluding Statement Biomineralization General Aspects Environmental Controls on Mineralogy Stable Isotopes Coprecipitation Precipitation of Carbonates from Seawater Carbonate Chemistry of Shallow Seawater Abiotic Precipitation of CaCO3 from Seawater Sources of Aragonite Needle Muds Formation of Oöids Concluding Remarks 238 Chapter 6. Early Marine Diagenesis of Shoal-Water Carbonate Sediments Introduction Some Preliminary Thermodynamic and Kinetic Considerations Very Early Diagenesis Major Diagenetic Processes Pore Water Chemistry Precipitation of Early Carbonate Cements Dissolution of Carbonates Concluding Remarks Chapter 7. Early Non-Marine Diagenesis of Sedimentary Carbonates Introduction Plate-Tectonic Controls on Diagenesis General Considerations for Early Non-Marine Diagenesis Major Types of Non-Marine Environments Water Chemistry Reactivity of Sedimentary Carbonates Major Phase Transformations The Transformation of Aragonite to Calcite Dolomite Formation Summary Remarks Mass Transfer During Diagenesis General Considerations Geochemical Constraints on Mass Transfer Beachrock Formation Lithification in the Meteoric Environment Introduction The Meteoric Environment and Cement Precipitates Bermuda: A Case Study of a Meteoric Diagenetic Environment Introduction Geological Framework Limestone Chemistry and Isotopic Composition Water Chemistry Carbonate Mass Transfer A Brief Synthesis of Meteoric Diagenesis Diagenetic Stages Effect of Original Mineralogy Climatic Effects Rock-Water Relationships Mixed Meteoric-Marine Regime Concluding Remarks Chapter 8. Carbonates as Sedimentary Rocks in Subsurface Processes Introduction P,T, and X and Carbonate Mineral Stability Subsurface Water Chemistry in Sedimentary Basins Continuous Processes Pressure Solution Dolomitization Mud to Spar Neomorphism Secondary Porosity Cementation in the Subsurface Examples of "Models" of Long-Term Diagenesis The Present Ocean Setting The Present Continental Setting Concluding Remarks Chapter 9. The Current Carbon Cycle and Human Impact Introduction Modern Biogeochemical Cycle of Carbon A Model for the Cycle of Carbon Methane and Carbon Monoxide Fluxes CO2 Fluxes Human Impact on Carbon Fluxes The Fossil Fuel and Land Use Fluxes Observed Atmospheric CO2 Concentration Increase Future'Atmospheric CO2 Concentration Trends Consequences of Increased Atmospheric CO2 Levels The Oceanic System Sources of Calcium, Magnesium, and Carbon for Modern Oceans Mass Balance of Ca, Mg, and C in Present Oceans Oceanic Mass Balance of Elements Interactive with Ca, Mg, and C Concluding Remarks Chapter 10. Sedimentary Carbonates in the Evolution of Earth's Surface Environment Introduction Sedimentary Rock Mass-Age Distributions Secular Trends in Sedimentary Rock Properties Lithologic Types Chemistry and Mineralogy Carbon Cycling Modeling Introduction and Development of a Global Model Glacial-Interglacial Changes of Carbon Dioxide Long-Term Changes of Atmospheric CO2 Phanerozoic Cycling of Sedimentary Carbonates Synopsis of the Origin and Evolution of the Hydrosphere-Atmosphere-Sedimentary Lithosphere Origin of the Hydrosphere The Early Stages The Transitional Stage Modern Conditions Concluding Remarks Epilogue Introduction The Road Traveled The State of the Art Ever Onward References Index

Note: TABLE OF CONTENTS FOREWORD 1 INTRODUCTION AND SURVEY OF RADIOANALYSIS 1.1 Introduction 1.2 Principles of radioanalysis 1.2.1 General 1.2.2 Glossary of basic terms and concepts 1.3 Scope and contents References 2 SAMPLING AND PRECONCENTRATION 2.1 Survey and principles 2.1.1 Sampling 2.1.2 From sample to aliquot 2.1.2 .1 General 2.1.2.2 Granular material 2.1.2.3 Water 2.2 Sampling procedures 2.2.1 Rocks 2.2.2 Sediments and pore water 2.2.2.1 Sediments 2.2.2.2 Pore water 2.2.3 Fresh and ground water and related particulate matter 2.2.3.1 Fresh water 2.2.3.2 Ground water 2.2.4 Sea- and estuarine water and related particulate matter and sediments 2.2.4.1 Water 2.2.4.2 Particulate matter 2.2.4.3 Sediment cores 2.2.5 Rainwater and dry deposition 2.2.5.1 Rainwater 2.2.5.2 Dry deposition 2.3 Preconcentration 2.3.1 General 2.3.2 Fresh water and rainwater 2.3.3 Seawater 2.3.3.1 Survey 2.3.3.2 Scavenging procedures 2.3.3.3 Ion-exchange and solvent extraction procedures for Th, U and Pu 2.4 Reference materials 2.4.1 Principle 2.4.2 Survey of reference materials and SRM's 2.4.3 Use of reference materials and SRM's 2.4.3.1 Reference materials 2.4.3.2 SRM's 2.4.4 Reference materials for environmental radioactivity and isotopic ratio measurements References 3 INSTRUMENTAL RADIOANALYSIS OF GEOLOGICAL MATERIALS 3.1 Survey 3.1.1 Activation analysis 3.1.2 Photon activation analysis 3.1.3 Charged particle activation analysis (CPAA and HIAA) 3.1.4 Prompt techniques 3.1.4.1 Neutron induced prompt capture y-ray measurement (PGAA) 3.1.4.2 Proton induced X-ray emission (PIXE) 3.2 Principles 3.2.1 Principles of instrumental neutron activation analysis (INAA) 3.2.1.1 Activation 3.2.1.2 Standardization and flux monitoring 3.2.1.3 Count rate 3.2.1.4 Counting result 3.2.1.5 Sensitivity 3.2.1.6 Characteristic parameters of the three types of neutron activation 3.2.2 Delayed neutron counting 3.2.3 Activation analysis with high-energy photons 3.2.4 Principles of charged particle activation analysis (CPAA) 3.2.5 Principles of prompt techniques 3.2.5.1 Prompt capture gamma-ray measurements (PGAA) 3.2.5.2 Proton induced X-ray emission (PIXE) 3.3 Practical aspects of INAA, IPAA and PIXE 3.3.1 The radioanalytical laboratory 3.3.2 Irradiation facilities for NAA 3.3.2.1 Nuclear reactors 3.3.2.2 Rabbit systems 3.3.2.3 Epithermal activation 3.3.2.4 Neutron generators 3.3.2.5 Delayed neutron counting 3.3.3 Routing of INAA 3.3.4 Practical aspects of IPAA 3.3.5 Practical aspects of CPAA 3.3.6 Practical aspects of PGAA 3.3.7 Practical aspects of PIXE and PIGE 3.3.7.1 Proton induced X-ray emission (PIXE) 3.3.7.2 Proton induced prompt gamma emission (PIGE) 3.3.8 The error-budget 3.4 Multielement determination by INAA based on gamma-ray spectrometry 3.4.1 General 3.4.2 A practical procedure for INAA of silicates based on thermal neutrons 3.4.2.1 Preparation of sample and standards for irradiation 3.4.2.2 Irradiation and measurements 3.4.2.3 Conclusion 3.4.3 Rocks and ores 3.4.4 Meteorites 3.4.5 Sediments 3.4.6 Air-dust 3.4.7 Coal and ash 3.5 Instrumental neutron activation analysis of the lanthanides 3.6 Instrumental neutron activation analysis of uranium 3.7 Applications of instrumental neutron activation analysis with an isotopic neutron source and a 14.5 MeV neutron generator 3.7.1 Survey 3.7.2 INAA with isotopic neutron sources in the radiochemical laboratory 3.7.3 INAA with the neutron generator in the radiochemical laboratory 3.7.4. Conclusion 3.8 Applications of IPAA to silicates 3.9 Applications of IPAA to silicates 3.10 Applications of prompt techniques 3.10.1 Applications of PGAA and PIGE 3.10.2 Applications of PIXE References 4 NEUTRON ACTIVATION ANALYSIS INCLUDING CHEMICAL SEPARATION OF GEOLOGICAL SAMPLES 4.1 Introduction 4.2 Dissolution procedures and separation schemes 4.3 Lanthanides 4.3.1 General 4.3.2 Present procedures 4.4 Noble metals 4.4.1 General 4.4.2 Separation schemes 4.4.3 Single element determinations 4.5 Uranium and thorium 4.5.1 General 4.5.2 Procedures 4.5.2.1 Uranium 4.5.2.2 Thorium 4.6 Other elements 4.6.1 General 4.6.2 Alkali metals 4.6.3 Earth alkali metals 4.6.4 Copper and zinc 4.6.5 Mercury 4.6.6 Indium 4.6.7 Thallium 4.6.8 Tin 4.6.9 Elements with volatile halides and hydrides: Ga, Ge, As, Se, Sb, Te 4.6.9.1 Survey 4.6.9.2 Procedures 4.6.10 Vanadium and tantalum 4.6.11 Chromium 4.6.12 Molybdenum andtungsten 4.6.13 Halogens References 5 RADIOANALYSIS OF WATER 5.1 Survey 5.2 Elemental analysis of fresh water 5.2.1 Survey 5.2.2 Routine elemental analysis of rainwater 5.2.2.1 Sampling and sample treatment 5.2.2.2 Irradiation and processing of aliquots 5.2.2.3 Results 5.2.3 Special elemental analysis of rainwater 5.2.3.1 Bromine and iodine by isotopic exchange 5.2.3.2 Iodate by anion-exchange 5,2.3.3 Silver by cation-exchange and subsequent INAA 5.2.4 Routine elemental analysis of surface and ground water 5.2.4,1 General 5.2.4.2 Routine procedures 5.3 Elemental analysis of seawater 5.3.1 Survey 5.3.2 Routine elemental analysis of seawater by preconcentration on a "Chelex"-column and INAA 5.3.3 Routine elemental analysis of seawater by preconcentration on active carbon 5.3.3,1 General 5.3.3.2 Arsenic and antimony 5,3.3.3 Vanadium, iodine, tellurium and uranium 5.3.3.4 Total antimony, molybdenum and tungsten 5,3.3.5 Chromate, cobalt, nickel and tetravalent selenium 5.3.3,6 Mercury 5.3.4 Special elemental analysis of seawater 5.3.4.1 General 5.3.4.2 Rubidium and cesium 5.3.4.3 Strontium 5.3.4.4 Manganese and zinc 5,3,4.5 Tin 5.3.4.6 Nickel 5.3.4.7 Noble metals 5.3.4.8 Mercury References 6 RADIOTRACER EXPERIMENTS IN THE LABORATORY 6.1 Survey 6.2 Basic equations of radiotracer experiments in closed systems 6.3 Isotopic exchange in solution 6.4 Isotopic exchange between a solution and a solid 6.5 Reactions in solution 6.6 Reaction between a solution and a solid 6.6.1 Dissolution 6.6. 2 Leaching 6.6.3 Diffusion from solids 6.6.4 Sorption 6.7 Migration studies in solid-liquid systems 6.7.1 General 6.7.2 The determina tion of distribution coefficients in seawater 6.7.3 Radioecological column experiments in the laboratory 6.7.4 Laboratory experiments on very slow migration; the case of the actinides References 7 RADIOTRACER EXPERIMENTS IN THE FIELD 7.1 Survey 7.2 Principles of (radio)tracer experiments in open systems with flow in one direction 7.2.1 Basic concepts 7.2.2 Measurement of linear velocity and flow rate 7.2.3 Measurement of axial dispersion 7.2.4 Measurement of sedimentation rates 7.2.4.1 General 7.2.4.2 Lead-210 7.2.4.3 Cesium-137 7.2.5 Measurement of the degree of sediment mixing 7.2.6 Measurement of filtration velocity in case of horizontal groundwater flow 7.2.7 Measurement of groundwater flow in the unsaturated zone by radiocarbon 7.3 Principles of (radio)tracer experiments in open systems with flow in various directions 7.3.1 Survey 7.3.2 Measurement of sand or silt flow rates on the sea floor 7.3.3 Radiotracer measurements in water movement in the saturated zone 7.3.4 Radiotracer measurement on water movement in the unsaturated zone 7.4 Practical aspects of radiotracer experiments in the field 7.4.1 Preparation 7.4.2 Performance 7.4.3 Calculations References 8 MEASUREMENT OF NATURAL RADIOACTIVITY 8.1 General 8.1.1 Survey 8.1.2 Concentrations 8.1.3 Detection by direct measurement ofradiation 8.1.3.1 In situ measurements of uranium and thorium 8.1.3.2 Laboratory measurements 8.1.4 Detection by secundary effects 8.2 Measurement of low-level gamma-activities 8.2.1 General 8.2.2 A low background system (LBS) 8.2.2.1 Set-up 8.2.2.2 Limits of detection and determination 8.2.2.3 Processing of data 8.2.3. Anti-coincidence (AC)-counting 8.3 Measurements in rocks and sediments 8.3.1 General 8.3.2 Radon measurements (emanometry) 8.3.3 Age dating by measurement of disequilibrium in the natural decay-series 8.3.3.1 General 8.3.3.2 234U-230Th 8.3.3.3 235U-231Pa 8.3.3.4 232Th-230Th 8.3.3.5 230Th-231Pa 8.3.4 Environmental laboratory measurements on naturally occurring radionucl

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