ALBERT

Note: Introduction to performance tuningProfiling MATLAB® performance -- Standard performance-tuning techniques -- MATLAB®-specific techniques -- Implicit parallelization (vectorization and indexing) -- Explicit parallelization using MathWorks toolboxes -- Explicit parallelization by other means -- Using compiled code -- Memory-related techniques -- Graphics and GUI -- I/O techniques..

Note: ""Cover""; ""Copyright""; ""Contents""; ""Preface""; ""Conventions""; ""Abbreviations""; ""1. Introduction""; ""PART I The Early Years""; ""2. Early attempts at monetary union and the Hague Summit""; ""3. The Werner Report and the collapse of Bretton Woods""; ""4. The 'snake in the tunnel' reappears""; ""5. Monetarism arrives amidst currency turmoil""; ""6. The Delors Report""; ""7. Onward to Maastricht""; ""8. The Maastricht Treaty""; ""9. Converging to crisis and austerity""; ""10. The ideological straitjacket""; ""11. The Stability and Growth Pact (SGP)"". , ""12. The convergence farce: smokescreens and denial""""PART II The Path to Crisis""; ""13. The first few years: smug self-congratulation and mass delusion""; ""14. The 2003 fiscal crisis""; ""15. The German 'jobwunder'""; ""16. European Groupthink: denial on a grand scale""; ""PART III The Options for Europe""; ""17. A monetary framework for fiscal policy activism""; ""18. Framing the debate: two alternative visions of the economy""; ""19. The basic principles of functional finance""; ""20. The federal solution""; ""21. Overt Monetary Financing""; ""22. Abandoning the euro"". , ""23. Employment guarantees""""References""; ""Index"".

Note: IntroductionMethodology of Seismic Tomography -- Subduction Zone Tomography -- Large Earthquakes and Seismotectonics -- Hotspots and Mantle Plumes -- East Asia Structure and Tectonics -- Global Tomography and Deep Earth dynamics -- Seismic Tomography of the Moon..

Note: Contents: Chapter 1. The transport sector today ; Chapter 2. Transport demand and CO2 emissions to 2050 ; Chapter 3. International freight ; Chapter 4. International passenger aviation ; Chapter 5. Mobility in cities ; Statistical annex

Note: Trading a livable worldPower shift -- Beyond the north-south divide? -- Manufacturing consent -- The politics of adaptation -- The staying power of big fossil -- Society too civil? -- Contesting climate injustice -- Power in a future world -- Linking movements for justice..

Note: Contents: Chapter 1. Water Everywhere and Nowhere ; Chapter 2. Back to Life ; Chapter 3. Put Watersheds to Work ; Chapter 4. Make Room for Floods ; Chapter 5. Bank It for a Dry Day ; Chapter 6. Fill the Earth ; Chapter 7. Conserve in the City ; Chapter 8. Clean It Up ; Chapter 9. Close the Loop ; Chapter 10. Let It Flow ; Chapter 11. Rescue Desert Rivers ; Chapter 12. Share

Note: Contents: Introduction: Entering a New Era of Water Management ; Part I. Abundance ; 1. First Water, Then the World ; 2. Laissez-Faire Metaphysics ; 3. Managing Water for “the People” ; Part II. Scarcity ; 4. America’s Post-colonial Model of Development ; 5. The Space of Scarcity ; Part III. Security ; 6. The Globalization of Normal Water ; 7. Securing the Water-Energy-Food-Climate Nexus ; Part IV. Rethinking the Anthropocene ; 8. The Anthropocene and the Naturalization of Process ; 9. Thinking Ecologically in an Age of Geology ; Conclusion: Water in the Anthropocene

Note: Contents: 1. Bioeconomy Strategies ; 2. Development of Second-Generation Biorefineries ; 3. Biorefineries: Industry Status and Economics ; 4. Sustainability Considerations for the Future Bioeconomy ; 5. Biomass Supply and Trade Opportunities of Preprocessed Biomass for Power Generation ; 6. Commodity-Scale Biomass Trade and Integration with Other Supply Chains ; 7. Commoditization of Biomass Markets ; 8. Transition Strategies: Resource Mobilization Through Merchandisable Feedstock Intermediates ; Conclusions

Note: On the Role of Financial Markets and Institutions -- The Challenges of Asset Pricing: A Road Map -- Making Choices in Risky Situations -- Measuring Risk and Risk Aversion -- Risk Aversion and Investment Decisions, Part 1 -- Risk Aversion and Investment Decisions, Part II: Modern Portfolio Theory -- Risk Aversion and Investment Decisions, Part III: Challenges to Implementation -- The Capital Asset Pricing Model -- Arrow{u2013}Debreu Pricing, Part I -- The Consumption Capital Asset Pricing Model -- Arrow{u2013}Debreu Pricing, Part II -- The Martingale Measure: Part I -- The Martingale Measure: Part II -- The Arbitrage Pricing Theory -- Portfolio Management in the Long Run -- Financial Structure and Firm Valuation in Incomplete Markets -- Financial Equilibrium with Differential Information.

Note: Contents: Executive summary ; Chapter 1. Modelling the economic consequences of climate change ; Chapter 2. The damages from selected climate change impacts to 2060 ; Chapter 3. The bigger picture of climate change ; Chapter 4. The benefits of policy action ; Annex I. Description of the modelling tools

Note: Originalsprache: Inuit, Tuvaluisch, Englisch; Untertitel: Deutsch, Englisch, Französisch, Italienisch, Spanisch, Portugiesisch, Grönländisch, Tuvaluisch

Note: Enthält eine englische Zusammenfassung

Note: Beiträge überwiegend deutsch, teilweise englisch

Note: Machine generated contents note:1. Inclusive Developmen t: Debates and Issues -- 2. Inclusive Development and the Burdens of History -- 3. Addressing the Social Deficit in the Wake of Neoliberal Reforms -- 4. Mexico and Indonesia : Politics and Development in Weak States -- 5. Chile : Moving towards Greater Inclusion: From Political Polarization to Consensus -- 6. South Korea : Authoritarianism, Democracy, and the Struggle to Maintain Inclusive Development -- 7. Conclusions: The Politics and Policies of Inclusive Development..

Note: Contents: Chapter 1: Preparing the Work Environment -- Chapter 2: The Geocaching App -- Chapter 3: Combining Multiple Data Sources -- Chapter 4: Improving the App Search Capabilities -- Chapter 5: Making Maps

Note: The rise of the global middle class and global plutocratsInequality within countries - the Kuznets waves: explaining the evolution of within-country inequality over the very long-term -- Inequality among countries - from Karl Marx to Frantz Fanon, and then back to Marx? -- Global inequality in this century and the next -- What next? ten short reflections on the future of income inequality and globalization..

Note: Zugl.: Potsdam, Univ., Diss., 2016

Note: Contents: 1 Introduction: The Transitory Century ; 2 Urbanization in a global context ; 2.1 Current urbanization dynamics ; 2.2 Understanding the city ; 2.3 Cities and environmental change ; 2.4 The city as a habitat ; 2.5 Urban governance: actors, structures, processes ; 2.6 Global urbanization reports: problem descriptions, solution approaches and actors ; 2.7 Challenges and needs for action ; 3 The Normative Compass ; 3.1 The Great transformation and cities ; 3.2 An extended normative concept for the transformation towards sustainability ; 3.3 Sustaining the natural life-support systems ; 3.4 Inclusion ; 3.5 Eigenart ; 3.6 Dynamics between the three dimensions of the normative compass ; 4 Exemplary transformative action fields ; 4.1 Transformative action fields: concep ; 4.2 Internationally discussed fields ; 4.3 Transformative action field: ‘urban land use ; 4.4 Transformative action field: ‘materials and material flows' ; 4.5 Transformative action field: ‘urban health' ; 4.6 Transformative action fields: conclusions ; 5 Cities in the global transformation process ; 5.1 Introduction ; 5.2 Mumbai: transformation of a colonial metropolis into a globally networked megacity ; 5.3 Cairo: metropolis between an authoritarian state and weak governance ; 5.4 Copenhagen: a people-oriented pioneer of sustainable urban planning ; 5.5 Guangzhou: Open Door policy, globalization and migration-driven urbanization in the ‘world’s workshop’ ; 5.6 The Ruhr area: the post-industrial metropolis – polycentric and sustainable ; 5.7 Kigali: post-conflict city in Sub-Saharan Africa ; 5.8 São Paulo: the fragmented metropolis ; 5.9 Novi Beograd: 20th century socialist planned city district ; 5.10 Synopsis ; 6 Urban designers: actors of the urban transformation ; 6.1 Introduction. ; 6.2 Transformative urban networks ; 6.3 Inclusive urban planning ; 6.4 Social inclusion and cohesion ; 6.5 Participation in urban development ; 6.6 Small-scale green transformations as part of the Great Transformation ; 6.7 Preventive healthcare ; 6.8 Innovative investment instruments for the urban transformation ; 6.9 Science as a catalyst of urban development ; 6.10 Conclusions ; 7 Urban patterns ; 7.1 From phenomenology to designing cities: forces, forms, values ; 7.2 Newly planned cities and city districts ; 7.3 Informal settlements ; 7.4 Mature cities and city districts ; 7.5 Urbanization surge up to 2050 – six development risks of global change ; 8 Transformative urban governance: empowering cities ; 8.1 Challenges for transformative urban governance ; 8.2 Empowering local governments for the transformation ; 8.3 Strengthen civil society: involve residents, act collaboratively ; 8.4 Shape global governance structures in a way that meets present-day needs ; 8.5 Build a polycentric responsibility architecture ; 9 Recommendations for action ; 9.1 Challenges ; 9.2 Elements of a social contract for the urban transformation ; 9.3 Transformative action fields in cities ; 9.4 Governance ; 9.5 Financing ; 9.6 Synopsis ; 10 Research on sustainable urbanization ; 10.1 Cities and the Great Transformation: important lines of research ; 10.2 Programmes and institutions: where does urban sustainability research stand? ; 10.3 Towards a new urban research agenda ; References ; Glossary

Note: Contents: 1. The Politics and Political Economy of Forestland Regimes ; SECTION I: The Origins and Divergences of National Forestland Regimes ; 2. Colonialism and the Transformation of Hinterlands ; 3. Politics of 4. Political Mediation of Land Conflicts in the Hinterlands ; SECTION II: Politics of Institutional Change ; 5. Politics of Institutional Change in India's Forestland Regimes ; 6. Politics of Institutional Change in Tanzania and Mexico ; SECTION III: Policy Differences and Key Lessons ; 7. Public Accountability in Policy- making: Forest- Based Climate Change Mitigation in India, Tanzania, and Mexico ; 8. Conclusion: Toward Social Justice and Enduring Nature Conservation ; Appendix I: Number of People Affected by Forestland Conflicts ; Appendix II: A Sample of Specific Events Related to Forestland Conflicts ; Appendix III: Major Socioeconomic and Political Indicators in Case Study Countries ; Appendix IV: Inequality- Adjusted Human Development Index for Selected Regions ; Appendix V: Statistical Analysis of Forestland Claims in Gujarat, India ; References ; Index

Note: Contents: Front matter -- Copyright -- Contents -- Tables -- Foreword -- Preface -- 1. Introduction -- 2. Growth and distribution: the last 300 years -- 3. Growth and distribution: the Kaleckian perspective -- 4. An integration of the real and the monetary economy -- 5. Financial flows, distribution and capital controls -- 6. Epilogue: challenges and possibilities -- References -- Name index -- Subject Index

Note: Contents: PART I NATURAL RESOURCE AND ENVIRONMENTAL POLICY AND NATURAL RESOURCE SUPPLY AND SCARCITY ; 1. Economic Growth, Resource Scarcity, and Environmental Degradation: Where Have We Been and Where are We Going? ; 2. Ecosystem Goods and Services: How Does a Healthy Environment Support Economic Production, Consumption, and Quality of Life? ; 3. Resource Supply and Scarcity: How Do We Define, Measure, and Monitor Natural Resource Supply and Scarcity? ; 4. Natural Resources, The Environment, and Policy: What is the Public Policy Context for Natural Resource and Environmental Economics? ; PART II MICROECONOMIC THEORY FOUNDATIONS FOR EFFICIENCY, WELL BEING, AND THE PROBLEM OF RISK ; 5. Economic Efficiency: How Does a Healthy Economy Allocate Natural Resources to Economic Production and Consumption? ; 6. Intertemporal Efficiency: How Do We Efficiently Allocate Natural Resources Over Time? ; 7. Risk and Uncertainty: How Do We Assess Risk and Make Risky Decisions Involving Natural Resources and the Environment? ; PART III ECONOMIC THEORY AND INSTITUTIONS FOR PUBLIC POLICY ; 8. Criteria for Economic Policy: How Do We Tell a Good Natural Resource and Environmental Policy From a Bad One? ; 9. Rules of the Game: How do they Influence Efficiency and Equity and How Can We Get Them Right? ; 10. Market Failure and Inefficiency: What Could Cause an Undesirable Market Allocation of Resources? ; 11. Institutional Framework: What is the Social and Legal Context for Natural Resource and Environmental Decisions and Policy? ; PART IVMEASURING AND COMPARING BENEFITS AND COSTS OF NATURAL RESOURCE AND ENVIRONMENTAL POLICY AND PROJECTS ; 12. Benefit–Cost Analysis: How Do We Determine If the Benefits of a Resource Policy Outweigh the Costs? ; 13. Measuring Economic Values: How Do We Account For All Relevant Benefits and Costs In Natural Resource And Environmental Decisions? ; PART V OPTIMAL MANAGEMENT OF NON-RENEWABLE AND RENEWABLE RESOURCES ; 14. Exhaustible Non-Renewable Resources: What Is The Optimal Use and Management of Non-Renewable Resources Over Time? ; 15. Renewable Resources: What Is The Optimal Use and Management of Renewable Resources Over Time? ; PART VI THE ECONOMICS OF AIR, LAND, AND WATER RESOURCE USE AND POLICY ; 16. The Control of Polluting Emissions: How Can We Protect the Environment and People From Air Pollution? ; 17. The Economics of Land: How Do Land Markets Work and How Do We Manage Land Use? ; 18. The Economics of Water: How Is Water Valued and Allocated? ; PART VII ENVIRONMENTAL ETHICS, CLIMATE CHANGE, SUSTAINABILITY, CLIMATE CHANGE AND THE FUTURE ; 19. Understanding Sustainability: What Can Economics Tell Us About Using and Managing Resources in a Sustainable Manner? ; 20. Climate Change: The Earth’s Climate Is Changing - Can Economics Help Us Figure Out What, If Anything, To Do About It? ; 21. Economics and Environmental Ethics: What Are the Ethical Implications of the Economic Approach to Conservation and Preservation and What Can We Learn From Other Ethical Approaches? ; 22. Economic Science, Economic Policy, and Doing the Best We Can: How Do We Find Our Way Forward? ; Index

Note: Contents: Introduction; Part I. Foundations: 1. Emergence and development of international environmental law; 2. Main features of international environmental law; 3. The principles of international environmental law; Part II. Substantive Regulation: 4. Oceans, seas and freshwater; 5. Atmosphere; 6. Biological diversity; 7. Dangerous substances and activities; Part III. Implementation: 8. Traditional approaches: responsibility/liability/adjudication; 9. Alternative approaches - facilitation and management of 'noncompliance'; Part IV. Interactions with Other Branches: 10. Interactions with human rights law; 11. Interactions with the law of armed conflict; 12. Interactions with international economic law

Note: Contents: 1 Computing with Formulas. - 1.1 The First Programming Encounter: a Formula. - 1.1.1 Using a Program as a Calculator. - 1.1.2 About Programs and Programming. - 1.1.3 Tools for Writing Programs. - 1.1.4 Writing and Running Your First Python Program. - 1.1.5 Warning About Typing Program Text. - 1.1.6 Verifying the Result. - 1.1.7 Using Variables. - 1.1.8 Names of Variables. - 1.1.9 Reserved Words in Python. - 1.1.10 Comments. - 1.1.11 Formatting Text and Numbers. - 1.2 Computer Science Glossary. - 1.3 Another Formula: Celsius-Fahrenheit Conversion. - 1.3.1 Potential Error: Integer Division. - 1.3.2 Objects in Python. - 1.3.3 Avoiding Integer Division. - 1.3.4 Arithmetic Operators and Precedence. - 1.4 Evaluating Standard Mathematical Functions. - 1.4.1 Example: Using the Square Root Function. - 1.4.2 Example: Computing with sinh x. - 1.4.3 A First Glimpse of Rounding Errors. - 1.5 Interactive Computing. - 1.5.1 Using the Python Shell. - 1.5.2 Type Conversion. - 1.5.3 IPython. - 1.6 Complex Numbers. - 1.6.1 Complex Arithmetics in Python. - 1.6.2 Complex Functions in Python. - 1.6.3 Unified Treatment of Complex and Real Functions. - 1.7 Symbolic Computing. - 1.7.1 Basic Differentiation and Integration. - 1.7.2 Equation Solving. - 1.7.3 Taylor Series and More. - 1.8 Summary. - 1.8.1 Chapter Topics. - 1.8.2 Example: Trajectory of a Ball. - 1.8.3 About Typesetting Conventions in This Book. - 1.9 Exercises. - 2 Loops and Lists. - 2.1 While Loops. - 2.1.1 A Naive Solution. - 2.1.2 While Loops. - 2.1.3 Boolean Expressions. - 2.1.4 Loop Implementation of a Sum. - 2.2 Lists. - 2.2.1 Basic List Operations. - 2.2.2 For Loops. - 2.3 Alternative Implementations with Lists and Loops. - 2.3.1 While Loop Implementation of a for Loop. - 2.3.2 The Range Construction. - 2.3.3 For Loops with List Indices. - 2.3.4 Changing List Elements. - 2.3.5 List Comprehension. - 2.3.6 Traversing Multiple Lists Simultaneously. - 2.4 Nested Lists. - 2.4.1 A table as a List of Rows or Columns. - 2.4.2 Printing Objects. - 2.4.3 Extracting Sublists. - 2.4.4 Traversing Nested Lists. - 2.5 Tuples. - 2.6 Summary. - 2.6.1 Chapter Topics. - 2.6.2 Example: Analyzing List Data. - 2.6.3 How to Find More Python Information. - 2.7 Exercises. - 3 Functions and Branching. - 3.1 Functions. - 3.1.1 Mathematical Functions as Python Functions. - 3.1.2 Understanding the Program Flow. - 3.1.3 Local and Global Variables. - 3.1.4 Multiple Arguments. - 3.1.5 Function Argument or Global Variable?. - 3.1.6 Beyond Mathematical Functions. - 3.1.7 Multiple Return Values. - 3.1.8 Computing Sums. - 3.1.9 Functions with No Return Values. - 3.1.10 Keyword Arguments. - 3.1.11 Doc Strings. - 3.1.12 Functions as Arguments to Functions. - 3.1.13 The Main Program. - 3.1.14 Lambda Functions. - 3.2 Branching. - 3.2.1 If-else Blocks. - 3.2.2 Inline if Tests. - 3.3 Mixing Loops, Branching, and Functions in Bioinformatics Examples. - 3.3.1 Counting Letters in DNA Strings. - 3.3.2 Efficiency Assessment. - 3.3.3 Verifying the Implementations. - 3.4 Summary. - 3.4.1 Chapter Topics. - 3.4.2 Example: Numerical Integration. - 3.5 Exercises. - 4 User Input and Error Handling. - 4.1 Asking Questions and Reading Answers. - 4.1.1 Reading Keyboard Input. - 4.2 Reading from the Command Line. - 4.2.1 Providing Input on the Command Line. - 4.2.2 A Variable Number of Command-Line Arguments. - 4.2.3 More on Command-Line Arguments. - 4.3 Turning User Text into Live Objects. - 4.3.1 The Magic Eval Function. - 4.3.2 The Magic Exec Function. - 4.3.3 Turning String Expressions into Functions. - 4.4 Option-Value Pairs on the Command Line. - 4.4.1 Basic Usage of the Argparse Module. - 4.4.2 Mathematical Expressions as Values. - 4.5 Reading Data from File. - 4.5.1 Reading a File Line by Line. - 4.5.2 Alternative Ways of Reading a File. - 4.5.3 Reading a Mixture of Text and Numbers. - 4.6 Writing Data to File. - 4.6.1 Example: Writing a Table to File. - 4.6.2 Standard Input and Output as File Objects. - 4.6.3 What is a File, Really?. - 4.7 Handling Errors. - 4.7.1 Exception Handling. - 4.7.2 Raising Exceptions. - 4.8 A Glimpse of Graphical User Interfaces. - 4.9 Making Modules. - 4.9.1 Example: Interest on Bank Deposits. - 4.9.2 Collecting Functions in a Module File. - 4.9.3 Test Block. - 4.9.4 Verification of the Module Code. - 4.9.5 Getting Input Data. - 4.9.6 Doc Strings in Modules. - 4.9.7 Using Modules. - 4.9.8 Distributing Modules. - 4.9.9 Making Software Available on the Internet. - 4.10 Making Code for Python 2 and 3. - 4.10.1 Basic Differences Between Python 2 and 3. - 4.10.2 Turning Python 2 Code into Python 3 Code. - 4.11 Summary. - 4.11.1 Chapter Topics. - 4.11.2 Example: Bisection Root Finding. - 4.12 Exercises. - 5 Array Computing and Curve Plotting. - 5.1 Vectors. - 5.1.1 The Vector Concept. - 5.1.2 Mathematical Operations on Vectors. - 5.1.3 Vector Arithmetics and Vector Functions. - 5.2 Arrays in Python Programs. - 5.2.1 Using Lists for Collecting Function Data. - 5.2.2 Basics of Numerical Python Arrays. - 5.2.3 Computing Coordinates and Function Values. - 5.2.4 Vectorization. - 5.3 Curve Plotting. - 5.3.1 MATLAB-Style Plotting with Matplotlib. - 5.3.2 Matplotlib; Pyplot Prefix. - 5.3.3 SciTools and Easyviz. - 5.3.4 Making Animations. - 5.3.5 Making Videos. - 5.3.6 Curve Plots in Pure Text. - 5.4 Plotting Difficulties. - 5.4.1 Piecewisely Defined Functions. - 5.4.2 Rapidly Varying Functions. - 5.5 More Advanced Vectorization of Functions. - 5.5.1 Vectorization of StringFunction Objects. - 5.5.2 Vectorization of the Heaviside Function. - 5.5.3 Vectorization of a Hat Function. - 5.6 More on Numerical Python Arrays. - 5.6.1 Copying Arrays. - 5.6.2 In-Place Arithmetics. - 5.6.3 Allocating Arrays. - 5.6.4 Generalized Indexing. - 5.6.5 Testing for the Array Type. - 5.6.6 Compact Syntax for Array Generation. - 5.6.7 Shape Manipulation. - 5.7 High-Performance Computing with Arrays. - 5.7.1 Scalar Implementation. - 5.7.2 Vectorized Implementation. - 5.7.3 Memory-Saving Implementation. - 5.7.4 Analysis of Memory Usage. - 5.7.5 Analysis of the CPU Time. - 5.8 Higher-Dimensional Arrays. - 5.8.1 Matrices and Arrays. - 5.8.2 Two-Dimensional Numerical Python Arrays. - 5.8.3 Array Computing. - 5.8.4 Matrix Objects. - 5.9 Some Common Linear Algebra Operations. - 5.9.1 Inverse, Determinant, and Eigenvalues. - 5.9.2 Products. - 5.9.3 Norms. - 5.9.4 Sum and Extreme Values. - 5.9.5 Indexing. - 5.9.6 Transpose and Upper/Lower Triangular Parts. - 5.9.7 Solving Linear Systems. - 5.9.8 Matrix Row and Column Operations. - 5.9.9 Computing the Rank of a Matrix. - 5.9.10 Symbolic Linear Algebra. - 5.10 Plotting of Scalar and Vector Fields. - 5.10.1 Installation. - 5.10.2 Surface Plots. - 5.10.3 Parameterized Curve. - 5.10.4 Contour Lines. - 5.10.5 The Gradient Vector Field. - 5.11 Matplotlib. - 5.11.1 Surface Plots. - 5.11.2 Contour Plots. - 5.11.3 Vector Field Plots. - 5.12 Mayavi. - 5.12.1 Surface Plots. - 5.12.2 Contour Plots. - 5.12.3 Vector Field Plots. - 5.12.4 A 3D Scalar Field and Its Gradient Field. - 5.12.5 Animations. - 5.13 Summary. - 5.13.1 Chapter Topics. - 5.13.2 Example: Animating a Function. - 5.14 Exercises. - 6 Dictionaries and Strings. - 6.1 Dictionaries. - 6.1.1 Making Dictionaries. - 6.1.2 Dictionary Operations. - 6.1.3 Example: Polynomials as Dictionaries. - 6.1.4 Dictionaries with Default Values and Ordering. - 6.1.5 Example: Storing File Data in Dictionaries. - 6.1.6 Example: Storing File Data in Nested Dictionaries. - 6.1.7 Example: Reading and Plotting Data Recorded at Specific Dates. - 6.2 Strings. - 6.2.1 Common Operations on Strings. - 6.2.2 Example: Reading Pairs of Numbers. - 6.2.3 Example: Reading Coordinates. - 6.3 Reading Data fromWeb Pages. - 6.3.1 About Web Pages. - 6.3.2 How to Access Web Pages

Note: Foreword; Preface; Contents; Authors' Biography; Chapter 1: Paths to the New Arctic; Chapter 2: Indigenous Peoples in the New Arctic; Chapter 3: Pioneering Nation: New Narratives About Greenland and Greenlanders Launched Through Arts and Branding; Chapter 4: Perpetual Adaption? Challanges for the Sami and Reindeer Husbandry in Sweden; Chapter 5: On Past, Present and Future Arctic Expeditions; Chapter 6: Arctopias: The Arctic as No Place and New Place in Fiction; Chapter 7: The Fleeting Glaciers of the Arctic; Chapter 8: Arctic Carbon Cycle: Patterns, Impacts and Possible Changes; Chapter 9: Arctic Vegetation Cover: Patterns, Processes and Expected Change; Chapter 10: Human Development in the New Arctic; Chapter 11: Issues in Arctic Tourism; ...

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

Note: Contents: I: Introduction ; II: Climate Change Impacts on Major Cotton Production Regions ; III: Climate Change Impacts on Cotton Growth and Production ; IV: Management Approaches to Adapt to Impacts of Climate Change ; V: Role of Research in Modern Cotton Systems Adapting to Climate Change ; VI: Conclusion

Note: Contents: Part I: Introduction to Grounded Theory of Anselm Strauss ; Chapter 1: Inspiration and Background ; Chapter 2: Theoretical Foundations ; Chapter 3: Practical Considerations for Getting Started ; Chapter 4: Prelude to Analysis ; Chapter 5: Strategies for Qualitative Data Analysis ; Chapter 6: Memos and Diagrams ; Chapter 7: Theoretical Sampling ; Chapter 8: Context ; Chapter 9: Process ; Chapter 10: Techniques for Achieving Theoretical Integration ; Chapter 11: The Use of Computer Programs in Qualitative Data Analysis ; Part II: Research Demonstration Project ; Chapter 12 Open Coding: Identifying Concepts ; Chapter 13: Developing Concepts in Terms of Their Properties and Dimensions ; Chapter 14: Analyzing Data for Context ; Chapter 15: Bringing Process Into the Analysis ; Chapter 16: Integrating Categories ; Part III: Finishing the Research Project ; Chapter 17: Writing Theses, Monographs, and Dissertations, and Giving Talks About Your Research ; Chapter 18: Criteria for Evaluation ; Chapter 19: Student Questions and Answers

Note: Contents: Chapter 1 The Space and Strategy of Demographic Growth ; Chapter 2 Demographic Growth ; Chapter 3 Land, Labor, and Population ; Chapter 4 Toward Order and Efficiency ; Chapter 5 The Populations of Poor Countries ; Chapter 6 The Future ; Major Scientific Journals for Further Reading

Note: Contents: Preface: Conflict and Context I. Coal: A Primer ; II. War Stories ; Rise of the Rhetoric ; Peeling Back the Propaganda ; III. Congress Misses the Mark ; Fly in the Ointment ; Explaining the Error ; What the Transcripts Tell Us ; Unexpected Deals, Unexpected Devils ; Missing the Mark ; IV. Misadventures in Modification ; Altered States ; Spared Change ; What Goes Up . . . Might Not Count ; Old Plants, New Tricks ; A Fishy "Fix" ; A New Sheriff in Town ; A Safer Harbor ; Considering the Alternatives ; V. Bad Neighbors ; Tall Orders, Taller Stacks ; There Goes the Neighborhood ; Who Will Stop the Rain? ; To Market, To Market ; The Sincerest Form of Flattery ; Grandfathering's Grim Toll ; VI. A Warming World ; The Carbon Loophole: A History ; Between a Cap and a Hard Place ; Let's Make a Deal ; What's Grandfathering Got to Do with It? ; VII. Hope for Redemption ; The Dash to Gas ; The Role of Regulation ; Bumps in the Road Ahead ; Conclusion: A Farewell to Harms

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: Introduction ; Part 1 - Political Psychology ; 1 Understanding beliefs ; 2 The drunkyard's search ; Part 2 - Heuristics and Biases ; 3 Representativeness, foreign policy judgements, and theory-driven perceptions ; 4 Prospect theory: the political implication of loss aversion ; Part 3 - Political Psychology and International Relation Theory ; 5 Signaling and perception: projecting images and drawing inferences ; 6 Political psychology research and theory: bridges and barriers ; 7 Why intelligence and policymakers clash ; 8 Identit and the Colt War ; Part 4 - Psychology and National Security ; 9 Deterrence and perception ; 10 Psychology and crisis stability ; 11 Domino beliefs ; 12 Perception, misperception, and the end of the Cold War ; Index

Note: Table of contents Abstract Zusammenfassung Abbreviations and nomenclatureI 1. Introduction 1.1 Scientific background 1.1.1 Permafrost and ground ice 1.1.2 Organic carbon pools and fluxes into the Arctic Ocean 1.1.3 Climate warming and permafrost thaw 1.1.4 Permafrost degradation and coastal erosion 1.1.5 Study area Yukon coast and Qikiqtaruk 1.2 Knowledge gaps 1.3 Aims and objectives 1.4 Thesis structure and author's contribution 2. Eroding permafrost coasts release low amounts of dissolved organic carbon (DOC) from ground ice into the nearshore zone of the Arctic Ocean 2.1 Abstract 2.2 Introduction 2.3 Study area 2.4 Methods 2.4.1 Field work 2.4.2 DOC concentration 2.4.3 DOC flux estimation 2.5 Results 2.5.1 Segmentation of the coast - literature synthesis 2.5.2 DOC concentration 2.5.3 DOC stocks and fluxes 2.6 Discussion 2.6.1 DOC concentrations in ground ice 2.6.2 DOC fluxes from the YC 2.6.3 DOC fluxes and the Arctic carbon budget 2.7 Conclusion and Outlook 2.8 Acknowledgements 3.Transformation of terrestrial organic matter along thermokarst-affected permafrost coasts in the Arctic 3.1 Abstract 3.2 Introduction 3.3 Study area 3.3 Methods 3.3.1 Field work 3.3.2 Sedimentology, stratigraphy, and vegetation 3.3.3 Organic matter 3.3.4 Statistics 3.3.5 Transformation of organic matter 3.3.6 Fate of organic matter in the nearshore zone 3.4 Results 3.4.1 Sedimentology, stratigraphy, and vegetation 3.4.2 Organic matter 3.4.3 C/N-ratios and δ13C 3.4.4 Biomarkers 3.5 Discussion 3.5.1 Transformation of organic matter in the disturbed zone 3.5.2 Fate of organic matter in the nearshore zone 3.5.3 Environmental impact of the RTS 3.6 Conclusion 3.7 Acknowledgements 4. Rapid greenhouse gas release from eroding permafrost coasts 4.1 Summary 4.2 Background 4.3 Study site 4.4 Sampling and incubation setup 4.5 Findings and discussion 4.6 Conclusion 4.7 Methods 4.7.1 Incubation conditions 4.7.2 Gas measurements 4.7.3 Geo- and hydrochemical analysis 4.8 Acknowledgements 5. Synthesis 5.1 Mobilization of permafrost OC pools by coastal erosion 5.2 Transformation of permafrost OM on transit from land to sea 5.3 Fate and pathways of permafrost OC in the nearshore zone 5.4 Conclusion and outlook References Appendix I: Dissolved organic carbon (DOC) in Arctic ground ice I-1 Abstract I-2 Introduction I-3 Study area and study sites I-4 Material and methods I-4-1 Laboratory analyses I-4-2 Statistical methods I-5 Results I-5-1 DOC and DIC concentrations I-5-2 Correlation matrix I-5-3 Principal components I-5-4 Univariate Tree Model (UTM) I-6 Discussion I-6-1 DOC stocks in ground ice and relevance to carbon cycling I-6-2 Carbon sequestration and origin in relation to inorganic geochemistry I-6-3 DOC mobility and quality upon permafrost degradation I-7 Conclusions and outlook I-8 Acknowledgements Appendix II: Supplementary material for Chapter 2 II-1 Supplementary table - Ground ice and geochemical data II-2 Supplementary table - Coastal segments and DOC flux Appendix III: Supplementary material for Chapter 3 III-1 Normalized Differenced Vegetation Index map III-2 Photograph of a massive ice bed in a RTS III-3 Calculation of biomarker proxies III-4 Supplementary table - Summary of geochemical data III-5 Supplementary table - Summary of statistical analysis AppendixI V: Supplementary material for Chapter 4 IV-1 Design of the incubation experiment IV-2 Photograph of a standard incubation setup IV-3 Conversion of gas amounts into mass IV-4 Total and daily aerobic CH4 production IV-5 Histogram summarizing OC losses and CO2 emissions IV-6 Supplementary table - Summary of TOC, DOC, and pH data IV-7 Supplementary table - Summary of TN, TOC/TN, and δ13C-TOC data IV-8 Supplementary table - Summary of total CO2 and CH4 production data IV-9 Supplementary table - Comparison of incubation setups IV-10 Supplementary table - Summary of daily CO2 production data IV-11 Supplementary table - Summary of daily CH4 production data Acknowledgements-Danksagung

Note: Contents: 1. Introduction -- 1.1 Why Forecast? -- 1.2 The Informatics Challenge in Forecasting -- 1.3 The Model-Data Loop -- 1.4 Why Bayes? -- 1.5 Models as Scaffolds -- 1.6 Case Studies and Decision Support -- 1.7 Key Concepts -- 1.8 Hands-on Activities -- 2. From Models to Forecasts -- 2.1 The Traditional Modeler's Toolbox -- 2.2 Example: The Logistic Growth Model -- 2.3 Adding Sources of Uncertainty -- 2.4 Thinking Probabilistically -- 2.5 Predictability -- 2.6 Key Concepts -- 2.7 Hands-on Activities -- 3. Data, Large and Small -- 3.1 The Data Cycle and Best Practices -- 3.2 Data Standards and Metadata -- 3.3 Handling Big Data -- 3.4 Key Concepts -- 3.5 Hands-on Activities -- 4. Scientific Workflows and the Informatics of Model-Data Fusion -- 4.1 Transparency, Accountability, and Repeatability -- 4.2 Workflows and Automation -- 4.3 Best Practices for Scientific Computing -- 4.4 Key Concepts -- 4.5 Hands-on Activities -- 5. Introduction to Bayes -- 5.1 Confronting Models with Data -- 5.2 Probability 101 -- 5.3 The Likelihood -- 5.4 Bayes' Theorem -- 5.5 Prior Information -- 5.6 Numerical Methods for Bayes -- 5.7 Evaluating MCMC Output -- 5.8 Key Concepts -- 5.9 Hands-on Activities -- 6. Characterizing Uncertainty -- 6.1 Non-Gaussian Error -- 6.2 Heteroskedasticity -- 6.3 Observation Error -- 6.4 Missing Data and Inverse Modeling -- 6.5 Hierarchical Models and Process Error -- 6.6 Autocorrelation -- 6.7 Key Concepts -- 6.8 Hands-on Activities -- 7. Case Study: Biodiversity, Populations, and Endangered Species -- 7.1 Endangered Species -- 7.2 Biodiversity -- 7.3 Key Concepts -- 7.4 Hands-on Activities -- 8. Latent Variables and State-Space Models -- 8.1 Latent Variables -- 8.2 State Space -- 8.3 Hidden Markov Time-Series Model -- 8.4 Beyond Time -- 8.5 Key Concepts -- 8.6 Hands-on Activities -- 9. Fusing Data Sources -- 9.1 Meta-analysis -- 9.2 Combining Data: Practice, Pitfalls, and Opportunities -- 9.3 Combining Data and Models across Space and Time -- 9.4 Key Concepts -- 9.5 Hands-on Activities -- 10. Case Study: Natural Resources -- 10.1 Fisheries -- 10.2 Case Study: Baltic Salmon -- 10.3 Key Concepts -- 11. Propagating, Analyzing, and Reducing Uncertainty -- 11.1 Sensitivity Analysis -- 11.2 Uncertainty Propagation -- 11.3 Uncertainty Analysis -- 11.4 Tools for Model-Data Feedbacks -- 11.5 Key Concepts -- 11.6 Hands-on Activities -- Appendix A Properties of Means and Variances -- Appendix B Common Variance Approximations -- 12. Case Study: Carbon Cycle -- 12.1 Carbon Cycle Uncertainties -- 12.2 State of the Science -- 12.3 Case Study: Model-Data Feedbacks -- 12.4 Key Concepts -- 12.5 Hands-on Activities -- 13. Data Assimilation 1: Analytical Methods -- 13.1 The Forecast Cycle -- 13.2 Kalman Filter -- 13.3 Extended Kalman Filter -- 13.4 Key Concepts -- 13.5 Hands-on Activities -- 14. Data Assimilation 2: Monte Carlo Methods -- 14.1 Ensemble Filters -- 14.2 Particle Filter -- 14.3 Model Averaging and Reversible Jump MCMC -- 14.4 Generalizing the Forecast Cycle -- 14.5 Key Concepts -- 14.6 Hands-on Activities -- 15. Epidemiology -- 15.1 Theory -- 15.2 Ecological Forecasting -- 15.3 Examples of Epidemiological Forecasting -- 15.4 Case Study: Influenza -- 15.5 Key Concepts -- 16. Assessing Model Performance -- 16.1 Visualization -- 16.2 Basic Model Diagnostics -- 16.3 Model Benchmarks -- 16.4 Data Mining the Residuals -- 16.5 Comparing Model Performance to Simple Statistics -- 16.6 Key Concepts -- 16.7 Hands-on Activities -- 17. Projection and Decision Support -- 17.1 Projections, Predictions, and Forecasting -- 17.2 Decision Support -- 17.3 Key Concepts -- 17.4 Hands-on Activities -- 18. Final Thoughts -- 18.1 Lessons Learned -- 18.2 Future Directions -- References -- Index

Note: Contents: Introduction PART I CONCEPTS AND GLOBAL ISSUES 1. The Social Dimensions of Climate Change 2. Human needs and sustainable wellbeing 3. Climate capitalism: emissions, inequality, green growth 4. Sustainable wellbeing, necessary emissions and fair burdens PART II TOWARDS ECO-SOCIAL POLICY IN THE RICH WORLD 5. From welfare states to climate mitigation states? 6. Decarbonising the economy and its social consequences 7. Decarbonising consumption: Needs, necessities and eco-social policies 8. Post-growth, redistribution and wellbeing 9. Conclusion: A three-stage transition

Note: Machine generated contents note: 1. The foundations of EU environmental law: history, aims and context; 2. Actors and instruments; 3. Principles in EU environmental law; 4. Techniques of regulating the environment; 5. Environmental rights in Europe; 6. Public enforcement of EU environmental law; 7. Private enforcement of EU environmental law; 8. Climate change; 9. Air pollution and industrial emissions; 10. EU water law; 11. Impact assessment; 12. Nature and biodiversity protection; 13. Technological risk regulation: chemicals, genetically modified organisms and nanotechnology; 14. Waste