ALBERT

Note: Ersch. unregelmäßig , Beiträge teilweise in Englisch

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: Zugl.: Marburg (Lahn), Univ., Habil.-Schr., 2004 u.d.T.: Gutmann, Mathias: Die Medialität des Erfahrens

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: Ungezählte Beil. ab 2010: Special , Ersch. jährl. 4x

Note: Contents Part I Arctic Climate and Greenland 1 Arctic Climate Change, Variability, and Extremes / John E. Walsh 2 Precipitation Characteristics and Changes / Hengchun Ye, Daqing Yang, Ali Behrangi, Svetlana L. Stuefer, Xicai Pan, Eva Mekis, Yonas Dibike, and John E. Walsh 3 Snow Cover - Observations, Processes, Changes, and Impacts on Northern Hydrology / Ross Brown, Philip Marsh, Stephen Déry, and Daqing Yang 4 Evaporation Processes and Changes Over the Northern Regions / Yinsheng Zhang, Ning Ma, Hotaek Park, John E. Walsh, and Ke Zhang 5 Greenland Ice Sheet and Arctic Mountain Glaciers / Sebastian H. Mernild, Glen E. Liston, and Daqing Yang Part II Hydrology and Biogeochemistry 6 Regional and Basin Streamflow Regimes and Changes: Climate Impact and Human Effect / Michael Rawlins, Daqing Yang, and Shaoqing Ge 7 Hydrologic Extremes in Arctic Rivers and Regions: Historical Variability and Future Perspectives / Rajesh R. Shrestha, Katrina E. Bennett, Daniel L. Peters, and Daqing Yang 8 Overview of Environmental Flows in Permafrost Regions / Daniel L, Peters, Donald J. Baird, Joseph Culp, Jennifer Lento, Wendy A. Monk, and Rajesh R. Shrestha 9 Yukon River Discharge Response to Seasonal Snow Cover Change / Daqing Yang, Yuanyuan Zhao, Richard Armstrong, Mary J. Brodzik, and David Robinson 10 Arctic River Water Temperatures and Thermal Regimes / Daqing Yang, Hoteak Park, Amber Peterson, and Baozhong Liu 11 Changing Biogeochemical Cycles of Organic Carbon, Nitrogen, Phosphorus, and Trace Elements in Arctic Rivers / Jonathan O'Donnell, Thomas Douglas, Amanda Barker, and Laodong Guo 12 Arctic Wetlands and Lakes-Dynamics and Linkages / Kathy L. Young, Laura Brown, and Yonas Dibike 13 River Ice Processes and Changes Across the Northern Regions / Daqing Yang, Hotaek Park, Terry Prowse, Alexander Shiklomanov, and Ellie McLeod Part III Permafrost and Frozen Ground 14 Permafrost Features and Talik Geometry in Hydrologic System / Kenji Yoshikawa and Douglas L. Kane 15 Ground Temperature and Active Layer Regimes and Changes / Lin Zhao, Cangwei Xie, Daqing Yang, and Tingjun Zhang 16 Permafrost Hydrology: Linkages and Feedbacks / Tetsuya Hiyama, Daqing Yang, and Douglas L. Kane 17 Permafrost Hydrogeology / Barret L. Kurylyk and Michelle A. Walvoord Part IV Ecosystem Change and Impact 18 Greenhouse Gases and Energy Fluxes at Permafrost Zone / Masahito Ueyama, Hiroki Iwata, Hideki Kobayashi, Eugénie Euskirchen, Lutz Merbold, Takeshi Ohta, Takashi Machimura, Donatella Zona, Walter C. Oechel, and Edward A. G. Schuur 19 Spring Phenology of the Boreal Ecosystems / Nicolas Delbart 20 Diagnosing Environmental Controls on Vegetation Greening and Browning Trends Over Alaska and Northwest Canada Using Complementary Satellite Observations / Youngwook Kim, John S. Kimball, Nicholas Parazoo, and Peter Kirchner 21 Boreal Forest and Forest Fires / Yongwon Kim, Hideki Kobayashi, Shin Nagai, Masahito Ueyama, Bang-Yong Lee, and Rikie Suzuki 22 Northern Ecohydrology of Interior Alaska Subarctic / Jessica M. Young-Robertson, W. Robert Bolton, and Ryan Toohey 23 Yukon River Discharge-NDVI Relationship / Weixin Xu and Daqing Yang Part V Cross-System Linkage and Integration 24 River Freshwater Flux to the Arctic Ocean / Alexander Shiklomanov, Stephen Déry, Mikhail Tretiakov, Daqing Yang, Dmitry Magritsky, Alex Georgiadi, and Wenqing Tang 25 River Heat Flux into the Arctic Ocean / Daqing Yang, Shaoqing Ge, Hotaek Park, and Richard L. Lammers 26 Cold Region Hydrologic Models and Applications / Hotaek Park, Yonas Dibike, Fengge Su, and John Xiaogang Shi 27 Regional Climate Modeling in the Northern Regions / Zhenhua Li, Yanping Li, Daqing Yang, and Rajesh R. Shrestha 28 High-Resolution Weather Research Forecasting (WRF) Modeling and Projection Over Western Canada, Including Mackenzie Watershed / Yanping Li and Zhenhua Li 29 Responses of Boreal Forest Ecosystems and Permafrost to Climate Change and Disturbances: A Modeling Perspective / Shuhua Yi and Fengming Yuan 30 Future Trajectory of Arctic System Evolution / Kazuyuki Saito, John E. Walsh, Arvid Bring, Ross Brown, Alexander Shiklomanov, and Daqing Yang Correction to: Arctic Hydrology, Permafrost and Ecosystems / Daqing Yang, and Douglas L. Kane

Note: Contents 1 Slow Viscous Flow 1.1 Introduction 1.2 Coordinate Systems and the Material Derivative 1.2.1 Eulerian and Lagrangian Coordinates 1.2.2 The Material Derivative 1.3 Mass Conservation 1.4 The Stress Tensor and Momentum Conservation 1.4.1 The Stress Tensor 1.4.2 Momentum Conservation 1.4.3 Rheology 1.4.4 The Navier-Stokes Equations 1.4.5 Stokes Flow 1.5 Boundary Conditions 1.5.1 The No-Slip Condition and the Sliding Law 1.5.2 Dynamic Boundary Conditions 1.5.3 Kinematic Boundary Conditions 1.6 Temperature and Energy Conservation 1.7 Glacier and Ice Sheet Flow 1.8 Examples 1.8.1 Uniform Flow on a Slope 1.8.2 Spreading Flow at an Ice Divide 1.8.3 Small-Amplitude Perturbations 1.9 The Shallow Ice Approximation 1.10 Conclusions and Outlook 1.11 Appendix: Non-dimensionalisation Exercises 2 Thermal Structure 2.1 Temperature Profiles 2.2 Boundary Conditions 2.2.1 The Thermal Near-Surface Wave 2.3 Models: Simple to Complicated 2.4 Basal Conditions 2.4.1 Polythermal Ice 2.5 Modelling Issues 2.5.1 Non-dimensionalisation 2.5.2 Thermomechanical Coupling 2.5.3 Thermal Runaway Exercises 3 Sliding, Drainage and Subglacial Geomorphology 3.1 Introduction 3.2 Sliding Over Hard Beds 3.2.1 Weertman Sliding 3.2.2 Nye-Kamb Theory 3.2.3 Sub-temperate Sliding 3.2.4 Nonlinear Sliding Laws 3.2.5 Cavitation 3.2.6 Comparison with Experiment 3.3 Subglacial Drainage Theory 3.3.1 Weertman Films 3.3.2 Röthlisberger Channels (or ‘R-Channels’) 3.3.3 Jökulhlaups 3.3.4 Subglacial Lakes 3.3.5 Linked Cavities 3.3.6 Drainage Transitions and Glacier Surges 3.3.7 Ongoing Developments 3.4 Basal Processes and Geomorphology 3.4.1 Soft Glacier Beds 3.4.2 Drainage Over Till 3.4.3 Geomorphological Processes Exercises 4 Tidewater Glaciers 4.1 Introduction 4.2 Calving 4.3 Tidewater Glacier Dynamics 4.3.1 Tidewater Glacier Retreat and Instability 4.3.2 Tidewater Glacier Advance 4.3.3 Flow Variability of Tidewater Glaciers 4.4 The Link to Climate: Triggers for Retreat 4.4.1 Ice Shelf Collapse and Backstress 4.4.2 Grounded Calving Fronts 4.5 Outlook 5 Interaction of Ice Shelves with the Ocean 5.1 Introduction 5.2 Impact of Melting Ice on the Ocean 5.3 Processes at the Ice-Ocean Interface 5.4 Buoyancy-Driven Flow on Geophysical Scales 5.5 Sensitivity to Ocean Temperature 5.6 Impact of Meltwater Outflow at the Grounding Line 5.7 Fundamentals of the Three-Dimensional Ocean Circulation 5.8 Some Properties and Limitations of the Geostrophic Equations 5.9 Effects of Stratification 5.10 Three-Dimensional Circulation in Sub-Ice-Shelf Cavities Exercises 6 Polar Meteorology 6.1 Introduction 6.2 Shortwave and Longwave Radiation 6.3 Radiation Climate at the Top of the Atmosphere 6.4 Large Scale Circulation 6.5 Surface Energy Balance 6.5.1 Shortwave Radiation 6.5.2 Surface Albedo 6.5.3 Longwave Radiation 6.5.4 Turbulent Fluxes 6.6 Temperature Inversion and Katabatic Winds 6.6.1 Surface Temperature Inversion and Deficit 6.6.2 Katabatic Winds 6.7 Precipitation 6.8 Notes and References Exercises 7 Mass Balance 7.1 Introduction 7.2 Definitions 7.3 Methods 7.3.1 In Situ Observations 7.3.2 Satellite/Airborne Altimetry 7.3.3 Satellite Gravimetry 7.3.4 Mass Budget Method 7.4 Valley Glaciers and Ice Caps 7.4.1 In Situ Observations 7.4.2 Modelling 7.4.3 Dynamical Response 7.4.4 Remote Sensing 7.5 Antarctic Ice Sheet 7.5.1 Spatial SSMB Variability 7.5.2 Blue Ice Areas 7.5.3 Temporal SSMB Variability 7.6 Greenland Ice Sheet 7.6.1 Spatial SSMB Variability 7.6.2 Temporal SSMB Variability 7.6.3 Role of the Liquid Water Balance 8 Numerical Modelling of Ice Sheets, Streams, and Shelves 8.1 Introduction 8.2 Ice Flow Equations 8.2.1 The Shallow Ice Approximation 8.2.2 Analogy with the Heat Equation 8.3 Finite Difference Numerics 8.3.1 Explicit Scheme for the Heat Equation 8.3.2 A First Implemented Scheme 8.3.3 Stability Criteria and Adaptive Time Stepping 8.3.4 Implicit Schemes 8.3.5 Numerical Solution of Diffusion Equations 8.4 Numerically Solving the SIA 8.5 Exact Solutions and Verification 8.5.1 Exact Solution of the Heat Equation 8.5.2 Halfar’s Exact Similarity Solution to the SIA 8.5.3 Using Halfar’s Solution 8.5.4 A Test of Robustness 8.6 Applying Our Numerical Ice Sheet Model 8.7 Shelves and Streams 8.7.1 The Shallow Shelf Approximation (SSA) 8.7.2 Numerical Solution of the SSA 8.7.3 Numerics of the Linear Boundary Value Problem 8.7.4 Solving the Stress Balance for an Ice Shelf 8.7.5 Realistic Ice Shelf Modelling 8.8 A Summary of Numerical Ice Flow Modelling 8.9 Notes Exercises 9 Least-Squares Data Inversion in Glaciology 9.1 Preamble 9.2 Introduction 9.3 The Roots of GPS in Glaciology 9.4 Introduction to GPS 9.4.1 History 9.4.2 Coarse Acquisition (C/A) Code 9.5 The Equations of Pseudorange 9.6 Least-Squares Solution of an Overdetermined System of Linear Equations 9.7 Observational Techniques to Improve GPS Accuracy 9.7.1 The Ionosphere-Free Combination 9.7.2 Carrier-Phase Determined Range and Integer Wavelength Ambiguity 9.7.3 Resolving Range Ambiguity by Phase Tracking 9.7.4 Differential GPS Exercises 10 Analytical Models of Ice Sheets and Ice Shelves 10.1 Introduction 10.2 Perfectly-Plastic Ice Sheet Model 10.3 The Height–Mass Balance Feedback 10.4 Ice-Sheet Profile for Plane Shear with Glen’s Law 10.5 Ice Shelves Exercise 11 Firn 11.1 Introduction 11.2 Firn Densification 11.2.1 Mechanisms of Firn Densification 11.2.2 Firn Densification Models 11.2.3 Firn Layering and Microstructure 11.3 Applications of Firn Models 11.3.1 Ice Sheet Surface Mass Balance from Altimetry 11.3.2 Delta Age Calculations in Deep Ice Cores 11.4 Summary and Conclusions 12 Ice Cores: Archive of the Climate System 12.1 Introduction 12.2 Dating Ice Cores 12.3 Stable Water Isotopes 12.3.1 Basics and Nomenclature 12.3.2 The Isotope Proxy Thermometer 12.3.3 Examples of Isotope Records 12.3.4 Isotope Diffusion in Firn and Ice 12.3.5 Diffusion Thermometry 12.4 Aerosols in Ice 12.4.1 Introduction and Origin of Aerosols in Ice 12.4.2 Aerosol Sources and Transport 12.4.3 Post-depositional Modification 12.4.4 Seasonal Cycles in Aerosol and Particle Constituents in Ice 12.4.5 The Volcanic Signal in Ice and Its Use for Chronological Control 12.4.6 Marine Biogenic MSA and Sea Salt as Sea-Ice Proxies 12.4.7 The Record of Anthropogenic Pollution 12.4.8 Long Aerosol Records from Greenland and Antarctica 12.4.9 Electrical Properties of Ice and Their Relationship to Chemistry 12.5 Gases Enclosed in Ice 12.5.1 Firn Gas and Gas Occlusion 12.5.2 Trace Gases 12.6 Timing of Climate Events Exercises 13 Satellite Remote Sensing of Glaciers and Ice Sheets 13.1 Introduction 13.2 Optical Sensors and Applications 13.2.1 Sensors and Satellites 13.2.2 Applications 13.3 SAR Methods and Applications 13.3.1 Radar Signal Interaction with Snow and Ice 13.3.2 SAR Sensor and Image Characteristics 13.3.3 InSAR Measurement Principles and Applications 13.4 Satellite Altimetry 13.4.1 Altimetry Missions 13.4.2 Measuring Elevation Change 14 Geophysics 14.1 Geophysical Methods: Overview 14.2 Passive Methods 14.2.1 Gravimetry 14.2.2 Magnetics 14.2.3 Seismology 14.3 Active Methods: Basics 14.3.1 Propagation Properties and Reflection Origin 14.3.2 Seismic System Set-Up 14.3.3 Radar System Set-Up 14.4 Data Acquisition and Processing 14.5 Seismic Applications in Ice 14.5.1 Ice Thickness and Basal Topography 14.5.2 Subglacial Structure and Properties 14.5.3 Rheological and Other Englacial Properties 14.6 Radar Applications in Ice 14.6.1 Internal Layer Architecture and Ice Dynamics 14.6.2 Subglacial Conditions 14.6.3 Englacial Conditions 14.7 Notes and References 14.7.1 Further Reading 14.7.2 Gravimetry 14.7.3 General Wave Equation and Solution 14.7.4 Seismic Waves 14.7.5 Electromagnetic Waves Exercises 15 Glacial Isostatic Adjustment 15.1 Introduction 15.2 Earth Response to Loading 15.2.1 Rheology of the Earth 15.2.2 Building an Earth Model 15.2.3 Earth Models Used in Glaciology and Glacial Isostatic Adjustment 15.3 The Cryosphere and Sea Level 15.3.1 Factors Affecting Sea-Level Change 15.3.2 Eu

Note: Beiträge teilweise in deutscher, teilweise in englischer Sprache

Note: Inhalt Vorwort Kapitel 1 Unsere Ozeane – Quelle des Lebens Kapitel Von der Bedeutung und der Endlichkeit der Meere Conclusio: Abschied von der Unendlichkeitsillusion Kapitel 2 Der Ozean im Klimawandel Die fatalen Folgen der Wärme Ein Angriff auf die Artenvielfalt Conclusio: Gradmesser Ozean Kapitel 3 Nahrung aus dem Meer Problemzone Fischerei Wachstumssektor Aquakultur Conclusio: Ein Nahrungslieferant am Limit Kapitel 4 Transporte über das Meer Die Schifffahrt am Scheideweg Conclusio: Eine Schlüsselbranche unter Druck Kapitel 5 Energie und Rohstoffe aus dem Meer Tiefseebergbau: Die Pläne nehmen Gestalt an Energiequelle Meer: Potenzial und Erwartungen Conclusio: Unsere Ozeane: voller Energie Kapitel 6 Die Verschmutzung der Meere Ein Problem gigantischen Ausmaßes Conclusio: Meere voller Müll und Schadstoffe Kapitel 7 Der Wettstreit um die genetische Vielfalt der Meere Wirkstoffe aus dem Meer Conclusio: Der Beginn einer goldenen Ära Kapitel 8 Anspruch und Wirklichkeit des Meeresmanagements Die Rechtsordnung der Ozeane Neue Ansätze des Meeresmanagement Der Ozean: Krisenschauplatz und Teil der Lösung Conclusio: Nachhaltiges Meeresmanagement – eine Herkulesaufgabe Gesamt-Conclusio Glossar Abkürzungen Quellenverzeichnis Mitwirkende Index Partner und Danksagung Abbildungsverzeichnis Impressum

Note: Contents I Artificial Intelligence 1 Introduction 1.1 What Is AI? 1.2 The Foundations of Artificial Intelligence 1.3 The History of Artificial Intelligence 1.4 The State of the Art 1.5 Risks and Benefits of AI Summary Bibliographical and Historical Notes 2 Intelligent Agents 2.1 Agents and Environments 2.2 Good Behavior: The Concept of Rationality 2.3 The Nature of Environments 2.4 The Structure of Agents Summary Bibliographical and Historical Notes II Problem-solving 3 Solving Problems by Searching 3.1 Problem-Solving Agents 3.2 Example Problems 3.3 Search Algorithms 3.4 Uninformed Search Strategies 3.5 Informed (Heuristic) Search Strategies 3.6 Heuristic Functions Summary Bibliographical and Historical Notes 4 Search in Complex Environments 4.1 Local Search and Optimization Problems 4.2 Local Search in Continuous Spaces 4.3 Search with Nondeterministic Actions 4.4 Search in Partially Observable Environments 4.5 Online Search Agents and Unknown Environments Summary Bibliographical and Historical Notes 5 Constraint Satisfaction Problems 5.1 Defining Constraint Satisfaction Problems 5.2 Constraint Propagation: Inference in CSPs 5.3 Backtracking Search for CSPs 5.4 Local Search for CSPs 5.5 The Structure of Problems Summary Bibliographical and Historical Notes 6 Adversarial Search and Games 6.1 Game Theory 6.2 Optimal Decisions in Games 6.3 Heuristic Alpha-Beta Tree Search 6.4 Monte Carlo Tree Search 6.5 Stochastic Games 6.6 Partially Observable Games 6.7 Limitations of Game Search Algorithms Summary Bibliographical and Historical Notes III Knowledge, reasoning, and planning 7 Logical Agents 7.1 Knowledge-Based Agents 7.2 The Wumpus World 7.3 Logic 7.4 Propositional Logic: A Very Simple Logic 7.5 Propositional Theorem Proving 7.6 Effective Propositional Model Checking 7.7 Agents Based on Propositional Logic Summary Bibliographical and Historical Notes 8 First-Order Logic 8.1 Representation Revisited 8.2 Syntax and Semantics of First-Order Logic 8.3 Using First-Order Logic 8.4 Knowledge Engineering in First-Order Logic Summary Bibliographical and Historical Notes 9 Inference in First-Order Logic 9.1 Propositional vs. First-Order Inference 9.2 Unification and First-Order Inference 9.3 Forward Chaining 9.4 Backward Chaining 9.5 Resolution Summary Bibliographical and Historical Notes 10 Knowledge Representation 10.1 Ontological Engineering 10.2 Categories and Objects 10.3 Events 10.4 Mental Objects and Modal Logic 10.5 Reasoning Systems for Categories 10.6 Reasoning with Default Information Summary Bibliographical and Historical Notes 11 Automated Planning 11.1 Definition of Classical Planning 11.2 Algorithms for Classical Planning 11.3 Heuristics for Planning 11.4 Hierarchical Planning 11.5 Planning and Acting in Nondeterministic Domains 11.6 Time, Schedules, and Resources 11.7 Analysis of Planning Approaches Summary Bibliographical and Historical Notes IV Uncertain knowledge and reasoning 12 Quantifying Uncertainty 12.1 Acting under Uncertainty 12.2 Basic Probability Notation 12.3 Inference Using Full Joint Distributions 12.4 Independence 12.5 Bayes' Rule and Its Use 12.6 Naive Bayes Models 12.7 The Wumpus World Revisited Summary Bibliographical and Historical Notes 13 Probabilistic Reasoning 13.1 Representing Knowledge in an Uncertain Domain 13.2 The Semantics of Bayesian Networks 13.3 Exact Inference in Bayesian Networks 13.4 Approximate Inference for Bayesian Networks 13.5 Causal Networks Summary Bibliographical and Historical Notes 14 Probabilistic Reasoning over Time 14.1 Time and Uncertainty 14.2 Inference in Temporal Models 14.3 Hidden Markov Models 14.4 Kalman Filters 14.5 Dynamic Bayesian Networks Summary Bibliographical and Historical Notes 15 Making Simple Decisions 15.1 Combining Beliefs and Desires under Uncertainty 15.2 The Basis of Utility Theory 15.3 Utility Functions 15.4 Multiattribute Utility Functions 15.5 Decision Networks 15.6 The Value of Information 15.7 Unknown Preferences Summary Bibliographical and Historical Notes 16 Making Complex Decisions 16.1 Sequential Decision Problems 16.2 Algorithms for MDPs 16.3 Bandit Problems 16.4 Partially Observable MDPs 16.5 Algorithms for Solving POMDPs Summary Bibliographical and Historical Notes 17 Multiagent Decision Making 17.1 Properties of Multiagent Environments 17.2 Non-Cooperative Game Theory 17.3 Cooperative Game Theory 17.4 Making Collective Decisions Summary Bibliographical and Historical Notes 18 Probabilistic Programming 18.1 Relational Probability Models 18.2 Open-Universe Probability Models 18.3 Keeping Track of a Complex World 18.4 Programs as Probability Models Summary Bibliographical and Historical Notes V Machine Learning 19 Learning from Examples 19.1 Forms of Learning 19.2 Supervised Learning 19.3 Learning Decision Trees 19.4 Model Selection and Optimization 19.5 The Theory of Learning 19.6 Linear Regression and Classification 19.7 Nonparametric Models 19.8 Ensemble Learning 19.9 Developing Machine Learning Systems Summary Bibliographical and Historical Notes 20 Knowledge in Learning 20.1 A Logical Formulation of Learning 20.2 Knowledge in Learning 20.3 Explanation-Based Learning 20.4 Learning Using Relevance Information 20.5 Inductive Logic Programming Summary Bibliographical and Historical Notes 21 Learning Probabilistic Models 21.1 Statistical Learning 21.2 Learning with Complete Data 21.3 Learning with Hidden Variables: The EM Algorithm Summary Bibliographical and Historical Notes 22 Deep Learning 22.1 Simple Feedforward Networks 22.2 Computation Graphs for Deep Learning 22.3 Convolutional Networks 22.4 Learning Algorithms 22.5 Generalization 22.6 Recurrent Neural Networks 22.7 Unsupervised Learning and Transfer Learning 22.8 Applications Summary Bibliographical and Historical Notes 23 Reinforcement Learning 23.1 Learning from Rewards 23.2 Passive Reinforcement Learning 23.3 Active Reinforcement Learning 23.4 Generalization in Reinforcement Learning 23.5 Policy Search 23.6 Apprenticeship and Inverse Reinforcement Learning 23.7 Applications of Reinforcement Learning Summary Bibliographical and Historical Notes VI Communicating, perceiving, and acting 24 Natural Language Processing 24.1 Language Models 24.2 Grammar 24.3 Parsing 24.4 Augmented Grammars 24.5 Complications of Real Natural Language 24.6 Natural Language Tasks Summary Bibliographical and Historical Notes 25 Deep Learning for Natural Language Processing 25.1 Word Embeddings 25.2 Recurrent Neural Networks for NLP 25.3 Sequence-to-Sequence Models 25.4 The Transformer Architecture 25.5 Pretraining and Transfer Learning 25.6 State of the art Summary Bibliographical and Historical Notes 26 Robotics 26.1 Robots 26.2 Robot Hardware 26.3 What kind of problem is robotics solving? 26.4 Robotic Perception 26.5 Planning and Control 26.6 Planning Uncertain Movements 26.7 Reinforcement Learning in Robotics 26.8 Humans and Robots 26.9 Alternative Robotic Frameworks 26.10 Application Domains Summary Bibliographical and Historical Notes 27 Computer Vision 27.1 Introduction 27.2 Image Formation 27.3 Simple Image Features 27.4 Classifying Images 27.5 Detecting Objects 27.6 The 3D World 27.7 Using Computer Vision Summary Bibliographical and Historical Notes VII Conclusions 28 Philosophy, Ethics, and Safety of AI 28.1 The Limits of AI 28.2 Can Machines Really Think? 28.3 The Ethics of AI Summary Bibliographical and Historical Notes 29 The Future of AI 29.1 AI Components 29.2 AI Architectures A Mathematical Background A.1 Complexity Analysis and 0() Notation A.2 Vectors, Matrices, and Linear Algebra A.3 Probability Distributions Bibliographical and Historical Notes B Notes on Languages and Algorithms B. l Defining Languages with Backus-Naur Form (BNF) B.2 Describing Algorithms with Pseudocode B.3 Online Supplemental Material Bibliography Index

Note: Dissertation, Universität Potsdam, 2021 , Table of Contents Acknowledgements Abstract Zusammenfassung List of figure List of tables List of abbreviation Chapter 1 1. Introduction 1.1 Research background 1.1.1 Response of mountain plant diversity to climate change 1.1.2 Response of Arctic vegetation composition and diversity to climate change 1.1.3 Understanding the critical mechanisms of community assembly are essential for sustaining ecosystem services 1.1.4 Pollen analysis as a traditional tool for representing palaeovegetation 1.1.5. Sedimentary ancient DNA (sedaDNA) is a useful tool for Quaternary ecology tracking 1.2 Study area 1.3 Aims and objectives 1.4 Structure of the thesis 1.4.1 Overview of the chapter 1.4.2 Author's contributions 1.4.3 Methods Chapter 2 2 Manuscript 1: Sedimentary ancient DNA reveals warming-induced alpine habitat loss threat to Tibetan Plateau plant diversity 2.1 Abstract 2.2 Introduction 2.3 Results and discussion 2.4 Methods 2.5 Acknowledgements · Chapter 3 3 Manuscript 2: Holocene vegetation and plant diversity changes in the north-eastern Siberian treeline region from pollen and sedimentary ancient DNA 3.1 Abstract 3.2 Introduction 3.3 Materials and methods 3.3.1 Study area 3.3.2 Lake sediment cores and subsampling 3.3.3 Dating 3.3.4 Pollen analysis 3.3.5 DNA extraction and amplification 3.3.6 Sequencing filtering and taxonomic assignment 3.3.7 Statistical analyses 3.4 Results 3.4.1 Chronology 3.4.2 SedaDNA and pollen assemblages 3.4.3 Gradient analysis and correlation analysis 3.5 Discussion 3 .5.1 Contributions of pollen and sedaDNA to vegetation reconstruction and taxon richness 3.5.2 Variation in Holocene vegetation composition in the Omoloy area, north-eastern Siberia 3.5.3 SedaDNA-based plant diversity changes within lake catchments of the Omoloy region 3.6 Conclusions 3.7 Acknowledgements Chapter 4 4 Manuscript 3: Vegetation reconstruction from Siberia and Tibetan Plateau using modern analogue technique - comparing sedimentary ancient DNA (sedaDNA) and pollen data 4.1 Abstract 4.2 Introduction 4.3 Materials and methods 4.3.1 Sites ofthe modern analogues 4.3.2 Sedimentary (ancient) DNA collection 4.3.3 Metabarcoding data processing and filtering 4.3.4 Pollen data collection 4.3.5 Numerical analysis 4.4 Results 4.4.1 Modern training-set, ROC curve analyses and AT results 4.4.2 Modern analogues for Lake Naleng and Omoloy lake II 4.4.3 Vegetation type reconstruction based on MAT 4.4.4 Projecting fossil samples in ordination space of modern assemblages 4.4.5 Comparing past and present intertaxa relationships 4.5 Discussion 4.5.1 Assessment of analogue quality using modem training-sets 4·5·2 Comparison of sed(a)DNA-based and pollen-based vegetation reconstruction for the Lake Naleng, Tibetan Plateau 4.5.3 Comparison of sedDNA based and pollen-based vegetation reconstruction for the Lake Omoloy, northern Siberia 4.6 Conclusions 4.7 Acknowledgements Chapter 5 5 Manuscript 4: Terrestrial-aquatic ecosystem links on the Tibetan Plateau inferred from sedaDNA shotgun sequencin 5.1 Abstract 5.2 Introduction 5.3 Results 5.4 Discussions 5.5 Methods 5.6 Acknowledgments Chapter 6 6 Synthesis 6.1 The ability of metabarcoding and metagenomic shotgun sequencing to reveal ecological community pattern 6.2 Driver of plant diversity change in high altitude and high latitudes 6.3 High-altitude and high-latitude vegetation type change 6.4 Past terrestrial and aquatic ecological change at ecosystem-scale 6.5 Conclusions and outlook Appendix 1 Appendix-1 Materials for Manuscript #1 1.1 Appendix discussion: Contamination in NTC6 2. Appendix-2 Materials for Manuscript #2 3. Appendix-3 Materials for Manuscript #3 4. Appendix-4 Materials for Manuscript #4 References Eidesstattliche Erklarung

Note: Common theoretical and practical basis -- The multifaceted nature of magma mixing -- The fundamental phenomenon -- The evolution of igneous rocks and in triggering explosive volcanic eruptions -- Draw the most complete picture about this natural process.

Note: Dissertation, Universität Potsdam, 2021 , Contents List of abbreviations Acknowledgements Summary Zusammenfassung 1 Scientific background 1.1 Motivation 1.2 The arctic-boreal ecotone in time and space 1.2.1 Terrestrial plants composition and biodiversity 1.2.2. Lake macrophytes and diatoms 1.3 Sedimentary DNA metabarcoding as an ecologicalproxy 1.4 Study area 1.5 Objectives of the thesis 1.6 Methods 1.7 Thesis organizations 1.7.1 Manuscripts and chapters 1.7.2 Non-finalized research 1.7.2 Author contributions 2 Manuscript I: Genetic and morphological diatom composition in surface sediments from glacial and thermokarst lakes in the Siberian Arctic 2.1 Abstract 2.2 Introduction 2.3 Materials and methods 2.3.1 Sampling and collection of environmental data 2.3.2 Diatom genetic assessment 2.3.3 Raw sequence processing and taxonomic assignment 2.3.4 Morphological diatom identification 2.3.5 Statistical analyses 2.4 Results 2.4.1 Genetic-based diatom composition, diversityand diatom-environment relationship 2.4.2 Morphological-based diatom composition, diversity and diatom-environment relationship 2.4.3 Comparison of spatial diatom patterns obtained from the genetic and morphological approaches 2.5 Discussion 2.5.1 Genetic and morphological diatom composition and diversity 2.5.2 Diatom composition is affected by lake type and lake water parameters 2.6 Conclusions 2.7 Acknowledgments 3 Manuscript II: Plant sedimentary ancient DNA from Far East Russia covering the last 28 ka reveals different assembly rules in cold and warm climates 3.1 Abstract 3.2 Introduction 3.3 Methods 3.3.1 Study area 3.3.2 Sampling and dating 3.3.3 Genetic laboratory works 3.3.4 Processing the sequence data 3.3.5 Statistical analyses 3.4 Results 3.4.1 Overview of the sequencing data and taxonomic composition 3.4.2 Taxonomic alpha and beta diversity 3.4.3 Phylogenetic alpha and beta diversity 3.4.4 Relationship between taxonomic composition and phylogenetic diversity 3.5 Discussion 3.5.1 Vegetation history revealed by sedaDNA 3.5.2 Patterns oftaxonomic alpha diversity and their relationship to community composition 3.5.3 Relationship between richness and phylogenetic alpha and beta diversity 4 Manuscript III: Sedimentary DNA identifies modem and past macrophyte diversity and its environmental drivers in high latitude and altitude lakes in Siberia and China 4.1 Abstract 4.2 Introduction 4.3 Materialsand Methods 4.3.1 Field sampling of surface and core samples 4.3.2 Environmental data 4.3.3 Molecular genetic laboratory work 4.3.4 Bioinformatic analyses 4.3.5 Statistical analyses 4.4 Results 4.4.1 Macrophyte diversity in surface sediments inferred from sedDNA 4.4.2 Relationship of modem macrophyte richness and environmental variables 4.4.3 The relationship between modem macrophyte community and environmental variables 4.4.4 Past macrophyte richness and composition inferred from sedaDNA 4.4.5 Past macrophyte compositional changes and its environmental drivers 4.5 Discussion 4.5.1 Retrieval of aquatic plant diversity using the tmL P6 loop plant DNA metabarcode 4.5.2 Modem macrophyte diversity and its relation to environmental factors 4.5.3 Temporal macrophyte diversity as an indicator for past environmental change 4.6 Conclusion 5 Synopsis 5.1 Potential and limitations of sedimentary DNA in the applied study 5.1.1 Sedimentary DNA is a powerful proxy 5.1.2 Limitations in sedimentary DNA 5.2 Spatial patterns of vegetation, macrophytes and diatoms 5.2.1 Composition and diversity of vegetation 5.2.2 Composition and diversity of macrophytes 5.2.3 Composition and diversity of diatoms 5.3 Temporal patterns of vegetation, macrophytes and diatoms 5.3.1 Composition and diversity of vegetation 5.3.2 Composition and diversity of macrophytes 5.3.3 Composition and diversity of diatoms 5.4 Outlooks and conclusions Appendices Appendix 1 for Manuscript I Appendix 2 for Manuscript II Appendix 3 for Manuscript III References

Note: 1 Introducing loss and damage 1 Meinhard Doelle and Sara L Seck PART I FRAMEWORKS 2 Equity considerations in loss and damage 18 Nathalie J. Chalifour 3 The sacrifice zones of carbon capitalism: race, expendability, and loss and damage 43 Carmen G. Gonzalez 4 Measuring the immeasurable: loss and damage from climate change in international law 60 Usha Natarajan PART II PUBLIC INTERNATIONAL LAW 5 Loss and damage under the Convention 75 Linda Siegele 6 Loss and damage under the Paris Agreement 100 Linda Siegele 7 Arrested development: the late and inequitable integration of loss and damage finance into the UNFCCC 127 Patricia Galvão Ferreira 8 Against the headwind: innovative sources of loss and damage finance 149 Patricia Galvão Ferreira 9 State responsibility for damages associated with climate change 166 Christina Voigt 10 Valuation of climate change loss and damage 184 Cymie R Payne 11 A rights-based approach to loss and damage due to climate change 201 Katherine Lofts, Sébastien Jodoin and Larissa Parker 12 Indigenous peoples, climate change loss and damage, and the responsibilities of states 223 Kyle Powys Whyte 13 Loss and damage, climate displacement and international law: addressing the protection gap 244 Sumudu Atapattu 14 Loss and damage, disaster law, and climate change 266 Anastasia Telesetsky 15 Solar radiation modification and loss & damage: mapping interactions between climate responses 286 Neil Craik PART III DOMESTIC, TRANSNATIONAL AND PRIVATE INTERNATIONAL LAW 16 Atmospheric recovery litigation around the world: gaining natural resource damages against carbon majors to fund a sky cleanup for climate restoration 303 Mary Christina Wood 17 Loss and damage in European litigation 331 Roda Verheyen and Johannes Franke 18 Towards a civil liability regime for climate-related loss and damage 349 Sharon Mascher 19 Think globally, sue locally: challenges and opportunities in international climate litigation in domestic courts 368 Andrew Gage 20 Carbon major companies and liability for loss and damage 390 Lisa Benjamin 21 Class actions and climate change loss and damage litigation 409 C. Cameron and R. Weyman PART IV CONCLUSIONS 22 Pathways and prospects for loss & damage and climate justice 433 Sara L Seck and Meinhard Doelle Index

Note: Contents Preface Introduction 1.1 Hazard and Risk Analysis 1.2 Uses of Hazard and Risk Infonnation 1.3 Detenninistic Analysis 1.4 Probabilistic Seismic Hazard Analysis 1.5 Probabilistic Risk Analysis 1.6 Benefits of Probabilistic Analysis I. 7 Uncertainties in Probabilistic Analysis 1.8 Validation Part I Hazard Inputs 2 Seismic Source Characterization 2.1 Introduction 2.2 Earth Structure and Plate Tectonics 2.3 Faults 2.4 Earthquake Processes 2.5 Earthquake Size 2.6 Definitions of Seismic Sources 2. 7 Source Characteristics 2.8 Conceptual Development of SSMs Exercises 3 Characterization of Earthquake Rates and Rupture Scenarios 3.1 Introduction 3.2 Approaches to Determining Rupture Rates 3.3 Constraints from Seismicity Data 3.4 Geological Constraints on Activity 3.5 Magnitude-Frequency Distributions 3.6 Rupture Scenarios and Computation of Rates 3.7 Generation of Rupture Scenarios 3.8 Time-Dependent Ruptw-e Rates Exercises 4 Empirical Ground-Motion Characterization 147 4.1 Introduction 147 4.2 Engineering Characterization of Ground Motion 149 4.3 Ground-Motion Databases 161 4.4 Mathematical Representation 166 4.5 General Trends in Empirical Data and Models 170 4.6 Prediction Using Empirical GMMs 179 4.7 Epistemic Uncertainty 186 4.8 Limitations of Empirical GMMs 192 Exercises 193 5 Physics-Based Ground-Motion Characterization 196 5.1 Introduction 196 5.2 Utility of Physics-Based Ground-Motion Simulation 198 5.3 Earthquake Source Representation 200 5.4 Seismic Wave Propagation 205 5.5 Methods for Physics-Based Ground-Motion Simulation 220 5.6 Prediction Using Physics-Based GMMs 233 Exercises Part II Hazard Calculations 247 6 PSHA Calculation 249 6.1 Introduction 249 6.2 The PSHA Calculation 250 6.3 Example Calculations 255 6.4 Hazard Curve Metrics 262 6.5 Sensitivity of Hazard Results to Inputs 266 6.6 Model Uncertainty 269 6.7 Logic Trees 272 6.8 PSHA with Epistemic Uncertainty 276 6.9 Monte Carlo PSHA 279 6.10 Discussion 280 Exercises 7 PSHA Products 286 7.1 Introduction 286 7.2 Disaggregation 287 7.3 Uniform Hazard Spectrum 301 7.4 Hazard Maps 306 7.5 Conditional Spectrum 307 7.6 VectorPSHA 312 7.7 Earthquake Sequences in PSHA 312 7.8 Implementation and Documentation of Hazard Studies 316 Exercises 8 Non-Ergodic Hazard Analysis 8.1 Introduction 8.2 Fundamental Concepts 8.3 Aleatory Variability versus Epistemic Uncertainty 8.4 When Can Non-Ergodic Approaches Be Applied? 8.5 Non-Ergodic Ground-Motion Models 8.6 Non-Ergodic Site Effects 8.7 Non-Ergodic Path Effects 8.8 Non-Ergodic Source Effects 8.9 Non-Ergodic Components in Seismic-Source Models Exercises Part Ill Risk 9 Seismic Risk 9.1 Introduction 9.2 Fragility and Vulnerability Functions 9.3 Calibrating Fragility and Vulnerability Functions 9.4 Risk Metrics 9.5 PEER Framework 9.6 Epistemic Uncertainty 9.7 Risk-Targeted Ground-Motion Intensity Exercises 10 Ground-Motion Selection I 0.1 Introduction I 0.2 Principles of Hazard-Consistent Ground-Motion Selection 10.3 Target Intensity Measure Distributions I 0.4 Selection Algorithms 10.5 Assessing Accuracy and Precision of Seismic Responses 10.6 Application-Specific Decisions 10.7 Design Code and Guideline Requirements 10.8 Documentation Exercises 11 Spatially Distributed Systems 11.1 Introduction 11.2 Parameterization Using Empirical Ground-Motion Models 11.3 Parameterization Using Physics-Based Simulations 11.4 Numerical Implementation 11.5 Coherency 11.6 Risk Exercises 12 Validation 12. l Introduction 12.2 Verification and Validation 12.3 Validation from Limited Observations 12.4 Direct Validation of Seismic Hazard Curves 12.5 Validation of Model Components 12.6 Do Failures of Past Calculations [nvalidate the PSHA Methodology? 12.7 Seismic Hazard and Risk Analysis for Decision-Making Exercises Appendix A Basics of Probability A. l Random Events A.2 Conditional Probability A.3 Random Variables A.4 Expectations and Moments A.5 Common Probability Distributions A.6 Random Number Generation Appendix B Basics of Statistics for Model Calibration 1 B.3 Statistical Estimation of m1,,x my,y B.5 Maximum Likelihood Estimation of Seismicity Parameters Estimation ofIM ofSymbols 433 484 486 494 514 519 523 529 533 578 viii Contents 12 Validation 12. l Introduction 12.2 Verification and Validation 12.3 Validation from Limited Observations 12.4 Direct Validation of Seismic Hazard Curves 12.5 Validation of Model Components 12.6 Do Failures of Past Calculations [nvalidate the PSHA Methodology? 12.7 Seismic Hazard and Risk Analysis for Decision-Making Exercises Appendix A Basics of Probability A. l Random Events A.2 Conditional Probability A.3 Random Variables A.4 Expectations and Moments A.5 Common Probability Distributions A.6 Random Number Generation Appendix B Basics of Statistics for Model Calibration B. l Confidence Intervals for the Sample Mean and Standard Deviation B.2 Hypothesis Testing for Statistical Significance B.3 Statistical Estimation of mmax B.4 Bayesian Estimation of lnmax B.5 Maximum Likelihood Estimation of Seismicity Parameters B.6 Empirical GMM Calibration B.7 Estimation of JM Correlations from GMMs B.8 Fragility Function Fitting References List of Symbols and Abbreviations Notation Conventions Index

Note: Dissertation, Gottfried Wilhelm Leibniz Universität Hannover, 2021 , Contents 1. Introduction 1.1. Motivation and Research Goal 1.2. Outline 2. Basics 2.1. Archaeology 2.2. Geographic Information System 2.2.1. Spatial Reference System 2.2.2. Coordinate Reference Systems 2.2.3. Raster and Vector Data 2.2.4. GIS Software 2.2.5. GIS Data File Formats 2.3. Remote Sensing 2.3.1. Passive and Active Remote Sensing 2.3.2. LiDAR Systems 2.3.3. Processing LiDAR Data 2.3.4. Digital Terrain Models and Derived Rasters 2.4. Deep Learning 2.4.1. Neurons 2.4.2. Layers 2.4.3. Objective Functions 2.4.4. Evaluation Metrics 2.4.5. Backpropagation 2.4.6. Gradient Descent 2.4.7. Gradient Descent Optimization Algorithms 2.4.8. Supervised Learning 2.4.9. Transfer Learning 2.4.10. Unsupervised Learning 2.4.11. Self Supervised Learning 3. Related Work 3.1. Remote Sensing in Archaeology 3.2. Deep Learning in Remote Sensing 3.3. Deep Learning in Point Clouds and Digital Terrain Models 3.4. Deep Learning in Archaeology 4. Datasets 4.1. Digital Terrain Model and Relief Visualization Dataset 4.2. Archaeological Monuments in the Harz 4.2.1. Areal Dataset 4.2.2. Linear Dataset 4.2.3. Stone Quarries Dataset 4.3. Data Preparation for Deep Learning Models 4.3.1. Data Processing for Self Supervised Learning Pretext 4.3.2. Data Processing for Classification 4.3.3. Data Processing for Instance Segmentation 4.3.4. Data Processing for Semantic Segmentation 5. Methodology 5.1. Pretext Methods 5.1.1. Relief Visualization Network (RVNet) 5.1.2. Relief Visualization GAN (RVGan) 5.2. Downstream Method 5.2.1. Classification of Archaeological Monuments and Terrain Structures 5.2.2. Instance Segmentation of Archaeological Monuments and Terrain Structures 5.2.3. Semantic Segmentation of Archaeological Monuments and Terrain Structures 6. Experiments and Results 6.1. Self Supervised Learning Pretext Experiments 6.2. Classification 6.3. Instance Segmentation 6.3.1. Areal Dataset 6.3.2. Linear Dataset 6.4. Semantic Segmentation 6.4.1. Areal Dataset 6.4.2. Linear Dataset 6.4.3. Stone Quarries Dataset 6.5. Evaluation on 4 Test Regions with Distinct Objects 6.6. Qualitative Evaluations 6.6.1. Qualitative Results for Areal Dataset 6.6.2. Qualitative Results for the Linear Dataset 6.6.3. Qualitative Results for Stone Quarries Dataset 6.7. Summary 7. Discussions and Conclusions 7.1. Discussions 7.1.1. Assessment of Pretext Methods 7.1.2. Assessment of Downstream Methods 7.1.3. Assessment of Selected Core Deep Learning Architectures 7.1.4. Assessment of Predictions for each Category 7.2. Summary and Outlook List of Figures List of Tables Bibliography Acknowledgements Resume A. Appendix A.1. Self Supervised Learning Pretext A.2. Classification A.3. Areal Dataset A.4. Linear Dataset , Sprache der Kurzfassungen: Englisch, Deutsch

Note: Contents: 1 Introduction ; I Continuous predictors ; 2 Continuous predictors: Linear ; 3 Continuous predictors: Polynomials ; 4 Continuous predictors: Piecewise models ; 5 Continuous by continuous interactions ; 6 Continuous by continuous by continuous interactions ; II Categorical predictors ; 7 Categorical predictors ; 8 Categorical by categorical interactions ; 9 Categorical by categorical by categorical interactions ; III Continuous and categorical predictors ; 10 Linear by categorical interactions ; 11 Polynomial by categorical interactions ; 12 Piecewise by categorical interactions ; 13 Continuous by continuous by categorical interactions ; 14 Continuous by categorical by categorical interactions ; IV Beyond ordinary linear regression ; 15 Multilevel models ; 16 Time as a continuous predictor ; 17 Time as a categorical predictor ; 18 Nonlinear models ; 19 Complex survey data ; V Appendices ; A Customizing output from estimation commands ; B The margins command ; C The marginsplot command ; D The contrast command ; E The pwcompare command ; References

Note: Contents 1 End Poverty in All Its Forms Everywhere / Joel C. Gill, Sarah Caven, and Ekbal Hussain 2 Zero Hunger / Benson H. Chishala, Rhoda Mofya-Mukuka, Lydia M. Chabala, and Elias Kuntashula 3 Ensure Healthy Lives and Promote Well-Being for All At All Ages / Kim Dowling, Rachael Martin, Singarayer K. Florentine, and Dora C. Pearce 4 Quality Education / Ellen Metzger, David Gosselin, and Cailin Huyck Orr 5 Achieve Gender Equality and Empower All Women and Girls / Ezzoura Errami, Gerel Ochir, and Silvia Peppoloni 6 Clean Water and Sanitation / Kirsty Upton and Alan MacDonald 7 Affordable and Clean Energy / Michael H. Stephenson 8 Decent Work and Economic Growth / Katrien An Heirman, Joel C. Gill, and Sarah Caven 9 Infrastructure, Industry, and Innovation / Joel C. Gill, Ranjan Kumar Dahal, and Martin Smith 10 Reduce Inequality Within and Amongst Countries / Melissa Moreano and Joel C. Gill 11 Sustainable Cities and Communities / Martin Smith and Stephanie Bricker 12 Ensure Sustainable Consumption and Production Patterns / Joseph Mankelow, Martin Nyakinye, and Evi Petavratzi 13 Climate Action / Joy Jacqueline Pereira, T. F. Ng, and Julian Hunt 14 Conserve and Sustainably Use the Oceans, Seas, and Marine Resources / Michael G. Petterson, Hyeon-Ju Kim, and Joel C. Gill 15 Life on Land / Eric O. Odada, Samuel O. Ochola, and Martin Smith 16 Peace, Justice, and Strong Institutions / Joel C. Gill, Amel Barich, Nic Bilham, Sarah Caven, Amy Donovan, Marleen de Ruiter, and Martin Smith 17 Partnerships for the Goals / Susanne Sargeant, Joel C. Gill, Michael Watts, Kirsty Upton, and Richard Ellison 18 Reshaping Geoscience to Help Deliver the Sustainable Development Goals / Joel C. Gill Index