ALBERT

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

Note: Table of Contents Abstract Kurzfassung Abbreviations and nomenclature 1. Introduction 2. Scientific Background 2.1. Permafrost 2.2.Retrogressive Thaw Slumps 2.3. Inputs of Freshwater, Sediment and Carbon into the Canadian Beaufort Sea 3. Study Area 3.1. Regional Setting: Yukon Coast and Herschel Island 3.2. Retrogressive Thaw Slumps 4. Material and Methods 4.1. Field Work 4.1.1. Terrain Photography 4.1.2. Differential Global Positioning System (DGPS) 4.1.3. Light Detection And Ranging (LiDAR) and Digital Elevation Model (DEM) 4.1.4. Micrometeorology 4.1.5. Discharge Measurement 4.1.6. Multiple Regression-Statistical Relationships between Micrometeorological Variables and Discharge 4.1.7. Sampling 4.2. Laboratory Analyses 4.2.1. Sedimentological Analyses 4.2.2. Hydrochemical Analyses 4.3. Fluxes of Sediment and (In-) Organic Matter 5. Results 5.1. Field Work 5.1.1. Terrain Photography 5.1.2. Differential Global Positioning System (DGPS) 5.1.3. Light Detecting And Ranging (LiDAR) and Digital Elevation Model (DEM) 5.1.4. Micrometeorology 5.1.5. Discharge 5.1.6. Multiple Regression - Statistical Relationships between Micrometeorology and Discharge 5.2. Laboratory Analyses 5.2.1. Sedimentological Analyses 5.2.2. Hydrochemical Analyses 5.3. Fluxes of Sediment-meltwater 6. Discussion 6.1. Microclimatological and Geomorphological Factors Controlling Discharge 6.1.1. Diurnal Variations 6.1.2. Seasonal Variations 6.2. Contribution of Retrogressive Thaw Slumps to the Sediment Budget of the Yukon Coast 6.2.1. Origin of Outflow Material 6.2.2. Slump D in the Regional Context 6.2.3. Seasonal Sediment Budget Compilation for Slump D 6.2.4. Retrogressive Thaw Slump Occurrence along the Yukon Coast 6.2.5. Input to the Beaufort Sea 6.3. Projected Climatic Change and its Impact on Retrogressive Thaw Slump Outflow 6.4. Uncertainties and Limitations 6.5. Future Research 7. Conclusion 8. Appendix 8.1. Field Work 8.1.1. Slump D's northern headwall profile 8.1.2. Collinson Head slump 8.1.3. Herschel Island West Coast slump 8.1.4. Roland Bay slump 8.1.5. Kay Point slump 8.2. Laboratory Work 8.2.1. Volumetric Ice Content 8.2.2. Grain Size 8.3. Evolution of Slump D 8.3.1. Geo Eye satellite of Slump D 8.3.2. Aerial Oblique Photography of Slump D 8.3.3. LiDAR of Slump D 8.3.4. Time Lapse Photography of Slump D's Headwall 9. References 10. Financial and technical support 11. Acknowledgement - Danksagung

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

Note: Contents: Introduction. - A changing climate. - The emerging land. - The frozen past. - From ice to sea. - Plant adaptation. - Land of contrasts. - Sheep farming - now and in the future. - Methane in the Arctic. , Parallel texts in Danish and English

Note: Enthält 5 Publikationen: 1) Mid Wisconsin to Holocene permafrost and landscape dynamics based on a drained lake basin core from the northern Seward Peninsula, northwest Alaska / Josefine Lenz, Guido Grosse, Benjamin M. Jones [und 5 weitere] 2) Evidence of multiple thermokarst lake generations from an 11,800-year old permafrost core on the northern Seward Peninsula, Alaska / Josefine Lenz, Sebastian Wetterich, Benjamin M. Jones [und 3 weitere] 3) Impacts of shore expansion and catchment characteristics on lacustrine thermokarst records in permafrost lowlands, Alaska Arctic Coastal Plain / Josefine Lenz, Sebastian Wetterich, Benjamin M. Jones [und 5 weitere] 4) Periglacial landscape dynamics in the western Canadian Arctic: Results from a thermokarst lake record on a push moraine (Herschel Island, Yukon) / Josefine Lenz, Michael Fritz, Lutz Schirrmeister [und 4 weitere] 5) Regional environmental change versus local signal preservation in Holocene thermokarst lake sediments: A case study from Herschel Island, Yukon (Canada) / Michael Fritz, Ingmar Unkel, Josefine Lenz [und 6 weitere] , Table of contents Abstract Zusammenfassung Abbreviations and nomenclature 1 Thesis organization 1.1 Overview of chapters 1.2 Author contribution 2 Introduction 2.1 Scientific background 2.1.1 Arctic environments and permafrost in the study region of Beringia 2.1.2 Permafrost degradation and its global feedbacks 2.1.3 Thermokarst lakes and basins as paleoenvironmental archives 2.2 Aims and approaches 3 Mid Wisconsin to Holocene permafrost and landscape dynamics based on a drained lake basin core from the northern Seward Peninsula, northwest Alaska 3.1 Abstract 3.2 Introduction 3.3 Study area 3.4 Material and methods 3.5 Results 3.5.1 Core stratigraphy 3.5.2 Cryostratigraphy 3.5.3 Grain size distribution 3.5.4 Magnetic susceptibility 3.5.5 Biogeochemical characteristics 3.5.6 Tephra 3.5.7 Palaeoecology 3.5.8 Geochronology 3.6 Discussion 3.7 Conclusions 4 Evidence of multiple thermokarst lake generations from an 11,800-year old permafrost core on the northern Seward Peninsula, Alaska 4.1 Abstract 4.2 Introduction 4.3 Study area 4.4 Material and methods 4.5 Results 4.5.1 Geochronology 4.5.2 Cryolithological description 4.5.3 Geochemical results 4.5.4 Bioindicators 4.5.5 Characteristics of intra-sedimentary ice and comparison with modern waters 4.6 Discussion 4.6.1 Thermokarst lake dynamics 4.6.2 Regional lake dynamics and global environmental change 4.6.3 Carbon cycling 4.7 Conclusions 5 Impacts of shore expansion and catchment characteristics on lacustrine thermokarst records in permafrost lowlands, Alaska Arctic Coastal Plain 5.1 Abstract 5.2 Introduction 5.3 Study area 5.4 Material and methods 5.5 Results 5.5.1 Sedimentological results of near-shore core P1 5.5.2 Sedimentological and palynological results of lake center-cores P2 (and P3) 5.5.3 Lake age estimation 5.6 Discussion 5.6.1 Thermokarst lake development 5.6.2 Impact of catchment genesis and morphology on the lake sediment record 5.6.3 Carbon degradation 5.7 Conclusions 6 Synthesis 6.1 Study sites in central-eastern Beringia: Similarities and differences 6.2 Permafrost degradation and thermokarst development in central-eastern Beringia 6.2.1 Timing of thermokarst development 6.2.2 Environmental factors supporting and inhibiting thermokarst 6.3 Processes of thermokarst lake development and their imprint in proxy records 6.4 Contribution of thermokarst dynamics to the carbon cycle 6.5 Potentials/limitations of thermokarst lake archives and outlook Bibliography Appendix I: Periglacial landscape dynamics in the western Canadian Arctic: Results from a thermokarst lake record on a push moraine (Herschel Island, Yukon) I-1 Abstract I-2 Introduction I-3 Study area I-4 Material and methods I-5 Results I-5.1 Core lithology I-5.2 Radiography I-5.3 Magnetic susceptibility and water content I-5.4 Grain size distribution I-5.5 Biogeochemical characteristics I-5.6 Geochronology I-6 Discussion I-6.1 Evolution of Lake Herschel I-6.2 Paleoenvironmental implications of the Lake Herschel record I-7 Conclusions Appendix II: Regional environmental change versus local signal preservation in Holocene thermokarst lake sediments: A case study from Herschel Island, Yukon (Canada) II-1 Abstract II-2 Introduction and study area II-3 Material and methods II-3.1 Sediment core II-3.2 Radiocarbon dating and age modelling II-3.3 Pore-water chemistry II-3.4 X-ray fluorescence (XRF) scanning II-3.5 Micropaleontology II-4 Results II-4.1 Chronostratigraphy: The revised age model II-4.2 XRF chemistry II-4.3 Pore-water chemistry II-4.4 Calcareous microfossils II-4.5 Pollen II-5 Discussion II-5.1 Sedimentation history of Lake Herschel II-5.2 Limnological, sedimentary and geochemical properties predefine the habitat I-5.3 Autochthonous versus allochthonous deposition of calcareous microfossils II-5.4 Regional pollen-based reconstruction of vegetation and climate II-6 Conclusions Acknowledgements

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: Zugleich: Dissertation, Freie Unversität Berlin, [ca. 1963] , INHALTSVERZEICHNIS PROBLEMSTELLUNG UND ZIELSETZUNG 1. BEMERKUNGEN ZUM BEOBACHTUNGSGELÄNDE UND ZUM BEOBACHTUNGSMATERIAL 1.1 Das Beobachtungsgelände 1.2 Das Beobachtungsmaterial 2. HOMOGENITÄTSBETRACHTUNGEN 2.1 Temperatur 2.2 Niederschlag 2.3 Wind 2.4 Sonnenschein und Bewölkung 3. TEMPERATURVERHÄLTNISSE 3.1 Monats- und Jahreswerte 3.2 Tageswerte 3.3 Pentadenwerte 3.4 Häufigkeitsbetrachtungen 3.5 Interdiurne Veränderlichkeit 3.6 Der tägliche Gang 3.7 Vorkommen bestimmter Schwellenwerte 3.71 Frost- und Eistage 3.72 Sommer- und Tropentage 4. DER WASSERGEHALT DER LUFT 4.1 Monats- und Jahreswerte 4.2 Tageswerte 4.3 Häufigkeitsbetrachtungen 4.4 Interdiurne Veränderlichkeit 4.5 Der tägliche Gang 5. BEWÖLKUNGSVERHÄLTNISSE 5.1 Monats- und Jahreswerte 5.2 Tageswerte 5.3 Häufigkeitsbetrachtungen 5.4 Der tägliche Gang 5.5 Heitere und trübe Tage 5.6 Nebel 6. SONNENSCHEIN 6.1 Monats- und Jahreswerte 6.2 Tageswerte 6.3 Der tägliche Gang 7. NIEDERSCHLAGSVERHÄLTNISSE 7.1 Monats- und Jahreswerte 7.2 Niederschlagsbereitschaft 7.3 Tageswerte 7.4 Der tägliche Gang 7.5 Häufigkeitsbetrachtungen 7.6 Niederschlags- und Trockenperioden 7.7 Niederschlag und Wind· 7.8 Schneeverhältnisse 7.81 Schneefall und Schneedecke 7.82 Schneehöhe 7.9 Gewitter 8. WINDVERHÄLTNISSE 8.1 Windrichtung 8.2 Windgeschwindigkeit 8.21 Der jährliche Gang 8.22 Häufigkeitsbetrachtungen 8.23 Sturmtage und Windstillen 8.24 Der tägliche Gang 9.ZUSAMMENFASSUNG VERZEICHNIS DER TEXTTABELLEN VERZEICHNIS DER ABBILDUNGEN LITERATURVERZEICHNIS TABELLENANHANG

Note: Zugleich: Dissertation, Freie Unversität Berlin, [ca. 1963] , INHALTSVERZEICHNIS PROBLEMSTELLUNG UND ZIELSETZUNG 1. BEMERKUNGEN ZUM BEOBACHTUNGSGELÄNDE UND ZUM BEOBACHTUNGSMATERIAL 1.1 Das Beobachtungsgelände 1.2 Das Beobachtungsmaterial 2. HOMOGENITÄTSBETRACHTUNGEN 2.1 Temperatur 2.2 Niederschlag 2.3 Wind 2.4 Sonnenschein und Bewölkung 3. TEMPERATURVERHÄLTNISSE 3.1 Monats- und Jahreswerte 3.2 Tageswerte 3.3 Pentadenwerte 3.4 Häufigkeitsbetrachtungen 3.5 Interdiurne Veränderlichkeit 3.6 Der tägliche Gang 3.7 Vorkommen bestimmter Schwellenwerte 3.71 Frost- und Eistage 3.72 Sommer- und Tropentage 4. DER WASSERGEHALT DER LUFT 4.1 Monats- und Jahreswerte 4.2 Tageswerte 4.3 Häufigkeitsbetrachtungen 4.4 Interdiurne Veränderlichkeit 4.5 Der tägliche Gang 5. BEWÖLKUNGSVERHÄLTNISSE 5.1 Monats- und Jahreswerte 5.2 Tageswerte 5.3 Häufigkeitsbetrachtungen 5.4 Der tägliche Gang 5.5 Heitere und trübe Tage 5.6 Nebel 6. SONNENSCHEIN 6.1 Monats- und Jahreswerte 6.2 Tageswerte 6.3 Der tägliche Gang 7. NIEDERSCHLAGSVERHÄLTNISSE 7.1 Monats- und Jahreswerte 7.2 Niederschlagsbereitschaft 7.3 Tageswerte 7.4 Der tägliche Gang 7.5 Häufigkeitsbetrachtungen 7.6 Niederschlags- und Trockenperioden 7.7 Niederschlag und Wind· 7.8 Schneeverhältnisse 7.81 Schneefall und Schneedecke 7.82 Schneehöhe 7.9 Gewitter 8. WINDVERHÄLTNISSE 8.1 Windrichtung 8.2 Windgeschwindigkeit 8.21 Der jährliche Gang 8.22 Häufigkeitsbetrachtungen 8.23 Sturmtage und Windstillen 8.24 Der tägliche Gang 9.ZUSAMMENFASSUNG VERZEICHNIS DER TEXTTABELLEN VERZEICHNIS DER ABBILDUNGEN LITERATURVERZEICHNIS TABELLENANHANG

Note: 1 Kartenbeilage unter dem Titel: Mount Melbourne Quadrangle (Victoria Land) 2012 / P. C. Pertusati, G. Musumeci, R. Carosi, M. Meccheri 〈1 : 250.000〉 aus der Antarctic Geological 1:250.000 Map Series , 1 Kartenbeilage unter dem Titel: Reeves Névé Quadrangle (Victoria Land) 2012 / R. Casnedi, P. C. Pertusati, F. Salvini 〈1 : 250.000〉 aus der Antarctic Geological 1:250.000 Map Series , 1 Kartenbeilage unter dem Titel: Mount Murchison Quadrangle (Victoria Land) 1997 / G. Capponi, M. Meccheri & P. C. Pertusati 〈1 : 250.000〉 aus der Antarctic Geological 1:250.000 Map Series , 1 Kartenbeilage unter dem Titel: Mount Joyce Quadrangle (Victoria Land) 1999 / G. Capponi, L. Crispini, M. Meccheri, G. Musumeci & P. C. Pertusati 〈1 : 250.000〉 aus der Antarctic Geological 1:250.000 Map Series , 1 Kartenbeilage unter dem Titel: Relief Inlet Quadrangle (Victoria Land) 1999 / G. Capponi, L. Crispini, M. Meccheri, G. Musumeci & P. C. Pertusati 〈1 : 250.000〉 aus der Antarctic Geological 1:250.000 Map Series , 1 Kartenbeilage unter dem Titel: Coulman Island Quadrangle (Victoria Land) 1997 / G. Capponi, M. Meccheri & G. Oggiano 〈1 : 250.000〉 aus der Antarctic Geological 1:250.000 Map Series , 1 Kartenbeilage unter dem Titel: Sequence Hills Quadrangle (Victoria Land) 2012 / R. Carosi, M. Meccheri, G. Musumeci, P. C. Pertusati 〈1 : 250.000〉 aus der Antarctic Geological 1:250.000 Map Series , 1 Kartenbeilage unter dem Titel: Freyberg Mountains Quadrangle (Victoria Land) 2012 / G. Capponi, M. Meccheri, P. C. Pertusati 〈1 : 250.000〉 aus der Antarctic Geological 1:250.000 Map Series

Note: Table of Contents: Environmental changes in the Arctic: an Italian perspective / David Cappelletti, Roberto Azzolini, Leonardo Langone, Stefano Ventura, Angelo Viola, Stefano Aliani, Vito Vitale & Enrico Brugnoli Atmospheric observations at the Amundsen-Nobile Climate Change Tower in Ny-Ålesund, Svalbard / Mauro Mazzola, Angelo Pietro Viola, Christian Lanconelli & Vito Vitale On turbulence characteristics at Ny-Ålesund–Svalbard / Francesco Tampieri, Angelo Pietro Viola, Mauro Mazzola & Armando Pelliccioni Variability features associated with ozone column and surface UV irradiance observed over Svalbard from 2008 to 2014 / Boyan H. Petkov, Vito Vitale, Mauro Mazzola, Angelo Lupi, Christian Lanconelli, Angelo Viola & Maurizio Busetto Air-snow exchange of reactive nitrogen species at Ny-Ålesund, Svalbard (Arctic) / Antonietta Ianniello, Francesca Spataro, Rosamaria Salvatori, Mauro Valt, Marianna Nardino, Mats P. Björkman, Giulio Esposito & Mauro Montagnoli Size distribution and ion composition of aerosol collected at Ny-Ålesund in the spring–summer field campaign 2013 / F. Giardi, S. Becagli, R. Traversi, D. Frosini, M. Severi, L. Caiazzo, C. Ancillotti, D. Cappelletti, B. Moroni, M. Grotti, A. Bazzano, A. Lupi, M. Mazzola, V. Vitale, O. Abollino, L. Ferrero, E. Bolzacchini, A. Viola & R. Udisti Multi-seasonal ultrafine aerosol particle number concentration measurements at the Gruvebadet observatory, Ny-Ålesund, Svalbard Islands / Angelo Lupi, Maurizio Busetto, Silvia Becagli, Fabio Giardi, Christian Lanconelli, Mauro Mazzola, Roberto Udisti, Hans-Christen Hansson, Tabea Henning, Boyan Petkov, Johan Ström, Radovan Krejci, Peter Tunved, Angelo Pietro Viola & Vito Vitale Elemental and lead isotopic composition of atmospheric particulate measured in the Arctic region (Ny-Ålesund, Svalbard Islands) / Andrea Bazzano, Francisco Ardini, Marco Grotti, Mery Malandrino, Agnese Giacomino, Ornella Abollino, David Cappelletti, Silvia Becagli, Rita Traversi & Roberto Udisti Sulfate source apportionment in the Ny-Ålesund (Svalbard Islands) Arctic aerosol / Roberto Udisti, Andrea Bazzano, Silvia Becagli, Ezio Bolzacchini, Laura Caiazzo, David Cappelletti, Luca Ferrero, Daniele Frosini, Fabio Giardi, Marco Grotti, Angelo Lupi, Mery Malandrino, Mauro Mazzola, Beatrice Moroni, Mirko Severi, Rita Traversi, Angelo Viola & Vito Vitale Water-soluble trace, rare earth elements and organic compounds in Arctic aerosol / Clara Turetta, Roberta Zangrando, Elena Barbaro, Jacopo Gabrieli, Elisa Scalabrin, Piero Zennaro, Andrea Gambaro, Giuseppa Toscano & Carlo Barbante AGAP: an atmospheric gondola for aerosol profiling / Mauro Mazzola, Maurizio Busetto, Luca Ferrero, Angelo Pietro Viola & David Cappelletti Local vs. long-range sources of aerosol particles upon Ny-Ålesund (Svalbard Islands): mineral chemistry and geochemical records / Beatrice Moroni, David Cappelletti, Luca Ferrero, Stefano Crocchianti, Maurizio Busetto, Mauro Mazzola, Silvia Becagli, Rita Traversi & Roberto Udisti Snowpack characteristics of Brøggerhalvøya, Svalbard Islands / Mauro Valt & Rosamaria Salvatori Continuous monitoring of spectral albedo of snowed surfaces in Ny-Ålesund / Roberto Salzano, Christian Lanconelli, Rosamaria Salvatori, Giulio Esposito & Vito Vitale Evolution of the Svalbard annual snow layer during the melting phase / Andrea Spolaor, Elena Barbaro, Jean Marc Christille, Torben Kirchgeorg, Fabio Giardi, David Cappelletti, Clara Turetta, Andrea Bernagozzi, Mats P. Björkman, Enzo Bertolini & Carlo Barbante Characterization of seawater properties and ocean heat content in Kongsfjorden, Svalbard Archipelago / Stefano Aliani, Roberta Sciascia, Ilaria Conese, Alessandra D’Angelo, Fabrizio Del Bianco, Federico Giglio, Leonardo Langone & Stefano Miserocchi Gas hydrate stability zone in shallow Arctic Ocean in presence of sub-sea permafrost / Umberta Tinivella & Michela Giustiniani A numerical algorithm for the assessment of the conjecture of a subglacial lake tested at Amundsenisen, Svalbard / Daniela Mansutti, Edoardo Bucchignani & Piotr Glowacki Trace elements in marine particulate and surface sediments of Kongsfjorden, Svalbard Islands / Francisco Ardini, Andrea Bazzano, Paola Rivaro, Francesco Soggia, Amanda Terol & Marco Grotti Stable isotopes and digital elevation models to study nutrient inputs in high-arctic lakes / Edoardo Calizza, Maria Letizia Costantini, David Rossi, Vittorio Pasquali, Giulio Careddu & Loreto Rossi Legacy and emergent POPs in the marine fauna of NE Greenland with special emphasis on the Greenland shark Somniosus microcephalus / Simonetta Corsolini, Karla Pozo & Jørgen S. Christiansen Body size-related constraints on the movement behaviour of the arctic notostracan Lepidurus arcticus (Pallas, 1973) under laboratory conditions / Giorgio Mancinelli & Vittorio Pasquali Geomorphological features of the Kongsfjorden area: Ny-Ålesund, Blomstrandøya (NW Svalbard, Norway) / Enrico Miccadei, Tommaso Piacentini & Claudio Berti Quantification of fracturing within fault damage zones affecting Late Proterozoic carbonates in Svalbard / Paola Cianfarra & F. Salvini Towards a calibration laboratory in Ny-Ålesund / Chiara Musacchio, Andrea Merlone, Angelo Viola, Vito Vitale & Marion Maturilli Development of an automatic sampler for extreme polar environments: first in situ application in Svalbard Islands / Giuseppe Zappalà, Gabriele Bruzzone, Gabriella Caruso & Maurizio Azzaro Isolation and degradation potential of a cold-adapted oil/PAH-degrading marine bacterial consortium from Kongsfjorden (Arctic region) / Francesca Crisafi, Laura Giuliano, Michail M. Yakimov, Maurizio Azzaro & Renata Denaro

Note: In kyrill. Schr.

Note: Inhaltsverzeichnis: Vorwort. - 1. Einführung. - 2. Herausforderungen an die Küsten-, Meeres- und Polarforschung. - 3. Politischer und programmatischer Rahmen. - 4. Internationale Einbindung der Küsten-, Meeres- und Polarforschung. - 5. Agendaprozesse in der Küsten-, Meeres- und Polarforschung. - 6. Programmstruktur. - 7. Wissenschaftliches Programm. - 7.1 Globaler Wandel und Klima geschehen. - 7.2 Ökosystemfunktion und Biodiversität. - 7.3 Globale Stoffkreisläufe und Energieflüsse. - 7.4 Umgang mit Naturgefahren. - 7.5 Nachhaltige Ressourcennutzung. - 7.6 Governance und Partizipation. - 8. Forschungsinfrastrukturen. - 8.1 Forschungsflotte und Großgeräte. - 8.2 Mess- und Beobachtungstechnik. - 8.3 Daten- und Informationsinfrastrukturen. - 8.4 Modellierungsinfrastruktur. - 9. Innovative Technologien. - 10. Umsetzung des Forschungsprogramms. - 10.1 Zuwendungsgeber, Projektstruktur und Förderhöhe. - 10.2 Auswahlverfahren und Förderbestimmungen. - 10.3 Evaluation. - 11. Weitere Informationen und Ansprechpartner. - Impressum.

Note: Zugleich: Dissertation, Christian-Albrechts-Universität zu Kiel, 1999 , INHALTSVERZEICHNIS 1. Einleitung 1.1 Kenntnisstand und offene Fragen 1.2 Fragestellung und Ziele dieser Arbeit 2. Umweltbedingungen in den Arbeitsgebieten 2.1 Hydrographie, Eisverhältnisse und NAO 2.2 Zur Variation von Wassertiefe und Breite der Dänemarkstraße und zur Vereisung Islands während des letzten Glazials 3. Methoden 3.1 Auswahl der Kernstationen 3.2 Probennahme und Analysen (Übersicht) 3.3 Zur Rekonstruktion von Paläobedingungen im Oberflächenwasser Zur Aussage stabiler Isotopenverhältnisse in planktischen Foraminiferen Zur Messung stabiler Isotopenverhältnisse Zur Massenspektrometrie Zur Rekonstruktion von Oberflächentemperaturen Alkane und Alkohole als Maß für Staubeintrag Eistranspmtiertes Material und vulkanische Aschen 3.4 Zur Rekonstruktion von Paläobedingungen im Zwischen-/ Tiefenwasser Häufigkeit von Cibicides- und anderen benthischen Arten (inkl. Taxonomie) Stabile Isotopenverhältnisse in benthischen Foraminiferen 3.5 AMS 14C-Datierungen Probenreinigung 3. 6 Hauptelementanalysen von vulkanischen Asche-Leithorizonten 3. 7 Geomagnetische Meßgrößen und magnetische Suszeptibiltät 3.8 Techniken zur Spektralanalyse 4. Methodische Ergebnisse 4.1 Zum Einfluß der Probenreinigung auf δ18O-/ δ13C-Werte 4.2 Probleme bei der langfristigen Reproduzierbarkeit von δ18O-Zeitreihen 4.3 Einfluß der Korngröße und Artendefinition planktischer Foraminiferen auf SST-Rekonstruktionen in hohen Breiten 4.4 Vergleich der stabilen Isotopenwerte von Cibicides lobatulus und Cibicidoides wuellerstorfi 5. Stratigraphische Grundlagen und Tiefenprofile der Klimasignale 5.1 Stratigraphische Korrelation zwischen parallel-gekernten GKG- und SL-/KL-Profilen 5.2 Flanktische δ18O-/ δ13C-Kurven, 14C-Alter und biostratigraphische Fixpunkte Westliches Islandbecken Kern PS2644 Kern PS2646 Kern PS2647 Kern 23351 Vøring-Plateau Kern 23071 Kern 23074 5.3 Benthische δ18O-/ δ13C-Werte in Kern PS2644 5.4 Siliziklastische Sedimentkomponenten: Eistransportiertes Material Westliches Islandbecken Kern PS2644 Kern PS2646 Kern PS2647 Vøring-Plateau Kern 23071 Kern 23074 5.5 Vulkanische Glasscherben in Kern PS2644: Wind- und Eiseintrag 5.6 Geochemie und Alter einzelner Tephralagen als Leithorizonte Westliches Islandbecken Kern PS2644 Kern PS2646 Kern PS2647 Vøring-Plateau Kern 23071 Kern 23074 5.7 Magnetische Suszeptibilität in den Kernen PS2644, PS2646 und PS2647 Kern PS2644 Kern PS2646 und PS2647 5.8 Geomagnetische Feldintensität und Richtungsänderungen in Kern PS2644 5.9 Variation von Planktonfauna und -flora Westliches Islandbecken: Kern PS2644 Kern PS2646 und PS2647 Vøring-Plateau: Kern 23071 und 23074 5.10 Benthische Foraminiferen in Kern PS2644 6. Entwicklung von Temperatur und Salzgehalt nördlich der Dänemark-Straße 6.1 Variation der Oberflächentemperatur nach Planktonforaminiferen 6.2 Variation der Oberflächentemperatur nach Uk37 6.3 Variation der Oberflächensalinität 7. Die Feinstratigraphie von Kern PS2644 als Basis für eine Eichung der 14C-Altersskala 22 - 55 ka 7.1 Korrelation zwischen den Klimasignalen in Kern PS2644 und der GISP2-Klimakurve zum Kalibrieren der 14C-Alter und Erstellen eines Altersmodells Tephrachronologische Marker Korrelationsparameter und -regeln Sonderfälle/ Probleme bei der Korrelation 7.2 Alters-stratigraphische Korrelation der Klimakurven von Kern 23071 und 23074 7.3 Variation der Altersanomalien zwischen 20 und 55 14C-ka 7.4 Variabilität des planktischen 14C-Reservoiralters in Schmelzwasserbeeinflußten Seegebieten Variation der planktischen 14C-Alter unmittelbar an der Basis von Heinrich-Ereignis 4 Unterschiede zwischen planktischen und benthischen 14C-Altern in der westlichen Islandsee. Zur Erklärung der inversen Altersdifferenzen 7.5 Differenz zwischen 14C- und Kalenderalter: Zeitliche Variation unter Einfluß des Erdmagnetfeldes - Modell und Befund 7.6 Sedimentationsraten der Kerne 23071, 23074 und PS2644 nach dem GISP2-Altersmodell Vøring-Plateau: Kerne 23071 und 23074 Südwest-Islandsee: Kern PS2644 8. Klimaoszillationen im Europäischen Nordmeer in der Zeit und Frequenzdomäne 8.1 "Der Einzelzyklus" in den Klimakurven von Kern PS2644 8.2 Zur Veränderlichkeit der Warm- und Kaltextreme sowie Zyklenlänge Besonderheiten in der Zyklenlänge Variation der Kalt-(Stadiale) Variation der Interstadiale 8.3 Periodizitäten der Klimasignale im Frequenzband der D.-Oe.-Zyklen. Der D.-Oe.-Zyklus von 1470 J., seine Multiplen und harmonischen Schwingungen Weitere Frequenzen: 1000-1150 Jahre- und 490- 510 Jahre-Zyklizitäten Höhere Frequenzen im Bereich von Jahrhunderten und Dekaden 8.4 Phasenbeziehungen und (örtliche) Steuemngsmechanismen der Dansgaard-Oeschger-Zyklen 9. Schlußfolgerungen Danksagung Literaturverzeichnis Anhang

Note: Inhaltsverzeichnis Kurzfassung Abstract 1 EINFÜHRUNG 2 GRUNDLAGEN 2.1 Allgemeine Zirkulation 2.2 Barokline Instabiltät 2.3 Horizontale und vertikale Wellenausbreitung 2.4 Die Rolle der Arktis im Klimasystem 2.5 Einfluss des klimatischen Wandels in der Arktis auf die mittleren Breiten 2.6 Atmosphärisches Energiespektrum und Skalenwechselwirkung 3 DATEN UND METHODEN 3.1 Verwendete Reanalyse- und Modelldaten 3.1.1 ERA-Interim 3.1.2 AFES 3.1.3 Aufteilung der verwendeten Daten in Zeiträume mit hoher und niedriger Meereisbedeckung 3.2 Methoden 3.2.1 Instabilitätsanalyse für einen zonalgemittelten Grundzustand 3.2.2 Identifikation bevorzugter großskaliger Zirkulationsmuster 3.2.3 Energie- und Enstrophiespektren 3.2.4 Statistische Testverfahren 4 ERGEBNISSE 4.1 Instabilitätsanalyse für einen zonalgemittelten Grundzustand . 4.1.1 Klimatologie ERA-Interim und AFES 4.1.2 Sensititvitätsstudie 4.2 Identifikation bevorzugter großskaliger Zirkulationsmuster 4.2.1 September 4.2.2 Oktober 4.2.3 November 4.2.4 Dezember 4.2.5 Januar 4.2.6 Februar 4.2.7 Zugehörige synoptisch-skalige Aktivität und 2m-Temperatur 4.3 Kinetische Energiespektren und nichtlineare Wechselwirkungen 4.3.1 Kinetische Energiespektren 4.3.2 Enstrophiespektren 4.3.3 Nichtlineare Energiewechselwirkungen, Energieflüsse und Enstrophieflüsse 5 ZUSAMMENFASSUNG UND AUSBLICK Tabellenverzeichnis Abbildungsverzeichnis Variablen und Symbole Literaturverzeichnis Danksagung Anhang A.1 Hough-Funktionen und vertikale Strukturfunktionen A.2 Zugeordnete Legendre-Polynome und Kugelflächenfunktionen Eidesstattliche Erklärung