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  • 1
    Call number: AWI G3-19-92460
    Description / Table of Contents: The Yukon Coast in Canada is an ice-rich permafrost coast and highly sensitive to changing environmental conditions. Retrogressive thaw slumps are a common thermoerosion feature along this coast, and develop through the thawing of exposed ice-rich permafrost on slopes and removal of accumulating debris. They contribute large amounts of sediment, including organic carbon and nitrogen, to the nearshore zone. The objective of this study was to 1) identify the climatic and geomorphological drivers of sediment-meltwater release, 2) quantify the amount of released meltwater, sediment, organic carbon and nitrogen, and 3) project the evolution of sediment-meltwater release of retrogressive thaw slumps in a changing future climate. The analysis is based on data collected over 18 days in July 2013 and 18 days in August 2012. A cut-throat flume was set up in the main sediment-meltwater channel of the largest retrogressive thaw slump on Herschel Island. In addition, two weather stations, one on top of the undisturbed tundra and one on the…
    Type of Medium: Monograph available for loan
    Pages: 163 Seiten , Illustrationen, Diagramme
    Language: English
    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
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  • 2
    Call number: AWI G6-19-92461
    Type of Medium: Dissertations
    Pages: XVI, 203 Seiten , Illustrationen, Diagramme
    Language: English
    Note: Dissertation, Universität Potsdam, 2019 , Table of contents Abstract Zusammenfassung Abbreviations 1 Introduction 1.1 Scientific background 1.1.1 Permafrost in the Northern Hemisphere 1.1.2 The permafrost carbon climate feedback 1.1.3 Rapidly changing, deep permafrost environments 1.2 Aims of this dissertation 1.3 Investigated study areas 1.4 Basic method overview 1.4.1 Field work in the Arctic 1.4.2 Laboratory procedure 1.4.3 Analysis ofl andscape-scale carbon and nitrogen stocks 1.5 Thesis organization 1.6 Overview of publications 1.6.1 Publication#1 - Yedoma landscape publication 1.6.2 Publication#2 - Thermokarst lake sequence publication 1.6.3 Publication#3 - North Alaska Arctic river delta publication 1.6.4 Extended Abstract - Western Alaska river delta study 1.6.5 Appendices - Supplementary material and paper in preparation II Carbon and nitrogen pools in thermokarst-affected permafrost landscapes in Arctic Siberia 2.1 Abstract 2.2 Introduction 2.3 Material and methods 2.3.1 Study area 2.3.2 Field Work 2.3.3 Laboratory analysis 2.3.4 Landform classification and upscaling C and N pools 2.4 Results 2.4.1 Sedimentological results 2.4.2 Sampling site SOC and N stocks 2.4.3 Upscaling: Landscape SOC and N stocks 2.4.4 Radiocarbon dates 2.5 Discussion 2.5.1 Site specific soil organic C and N stock characteristics 2.5.2 Upscaling of C and N pools 2.5.3 Sediment and organic C accumulation rates 2.5.4 Characterizing soil organic carbon 2.5.5 The fate of organic carbon in thermokarst-affected yedoma in Siberia 2.6 Conclusions III Impacts of successive thermokarst lake stages on soil organic matter, Arctic Alaska 3.1 Abstract 3.2 Plain language summary 3.3 Introduction 3.4 Study site 3.5 Methods 3.5.1 Core collection 3.5.2 Biogeochemical analyses 3.5.3 Study area OC and N calculation 3.6 Results 3.6.1 Biogeochemistry 3.6.2 Sediment organic carbon and nitrogen stocks 3.6.3 Radiocarbon dates and carbon accumulation rates 3.6.4 Landscape C and N budget 3.7 Discussion 3.7.1 Impact of thermokarst lake dynamics on organic matter storage 3.7.2 High organic C and N stocks on the ACP 3.7.3 Landscape chronology 3.7.4 Organic matter accumulation 3.7.5 Future development 3.8 Conclusions IV Sedimentary and geochemical characteristics of two small permafrost-dominated Arctic river deltas in northern Alaska 4.1 Abstract 4.2 Introduction 4.3 Study area 4.4 Material and Methods 4.4.1 Soil organic carbon and soil nitrogen storage 4.4.2 Radiocarbon dating and organic carbon accumulation rates 4.4.3 Grain size distribution 4.4.4 Scaling carbon and nitrogen contents to landscape level 4.5 Results 4.5.1 Carbon and nitrogen contents 4.5.2 Radiocarbon dates and accumulation rates 4.5.3 Grain size distribution 4.5.4 Arctic river delta carbon and nitrogen storage 4.6. Discussion 4.6.1 Significance of carbon and nitrogen stocks in Arctic river deltas 4.6.2 SOC and SN distribution with depth 4.6.3 Sedimentary characteristics 4.6.3.1 Accumulation rates 4.6.3.2 Sediment distribution 4.6.4 Impacts of future changes 4.6.5 Significance of remotely sensed upscaling results 4.7 Conclusions V Soil carbon and nitrogen stocks in Arctic river deltas - New data for three Western Alaskan deltas 5.1 Abstract 5.2 Introduction 5.3 Study sites 5.4 Methods 5.5 Results and discussion 5.5 Conclusions VI Discussion 6.1 Interregional comparison 6.2 Changing thermokarst landscapes and their global impact 6.3 A growing C and N data base 6.4 Outlook - potential follow-up projects VII Synthesis VIII References Appendix A Synthesis of SOC and N inventories Appendix B Supplementary material to Chapter II Appendix C Supplementary material to Chapter III Appendix D Supplementary material to Chapter IV Appendix E Supplementary material to Chapter V Appendix F Arctic river delta data set - Version 1.0 Acknowledgements - Danksagung
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  • 3
    Call number: PIK N 456-19-92698
    Description / Table of Contents: In the last decades the frequency and intensity of extreme weather events like heat waves and heavy rainfall have increased and are at least partly linked to global warming. These events can have a strong impact on agricultural and economic production and, thereby, on society. Thus, it is important to improve our understanding of the physical processes leading to those extreme events in order to provide accurate near-term and long-term forecasts. Thermodynamic drivers associated with global warming are well understood, but dynamical aspects of the atmosphere much less so. The dynamical aspects, while less important than the thermodynamic drivers in regards to large-scale and long-time averaged effects, play a critical role in the formation of extremes. The overall aim of this thesis is to improve our understanding of patterns, variability and trends in the global atmospheric circulation under a changing climate. In particular, in this dissertation I developed two new data-driven methods to quantitatively describe the dynamics of…
    Type of Medium: Dissertations
    Pages: xii, 166 Seiten , Illustrationen, Diagramme, Karten
    Language: English
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  • 4
    Call number: M 20.93502
    Description / Table of Contents: Tectonic and climatic boundary conditions determine the amount and the characteristics (size distribution and composition) of sediment that is generated and exported from mountain regions. On millennial timescales, rivers adjust their morphology such that the incoming sediment (Qs,in) can be transported downstream by the available water discharge (Qw). Changes in climatic and tectonic boundary conditions thus trigger an adjustment of the downstream river morphology. Understanding the sensitivity of river morphology to perturbations in boundary conditions is therefore of major importance, for example, for flood assessments, infrastructure and habitats. Although we have a general understanding of how rivers evolve over longer timescales, the prediction of channel response to changes in boundary conditions on a more local scale and over shorter timescales remains a major challenge. To better predict morphological channel evolution, we need to test (i) how channels respond to perturbations in boundary conditions and (ii) how signals ...
    Type of Medium: Dissertations
    Pages: XVII, 172 Seiten , Illustrationen, Diagramme, Karten
    Language: English
    Location: Upper compact magazine
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  • 5
    Call number: AWI Bio-20-93530
    Description / Table of Contents: The Arctic tundra, covering approx. 5.5 % of the Earth’s land surface, is one of the last ecosystems remaining closest to its untouched condition. Remote sensing is able to provide information at regular time intervals and large spatial scales on the structure and function of Arctic ecosystems. But almost all natural surfaces reveal individual anisotropic reflectance behaviors, which can be described by the bidirectional reflectance distribution function (BRDF). This effect can cause significant changes in the measured surface reflectance depending on solar illumination and sensor viewing geometries. The aim of this thesis is the hyperspectral and spectro-directional reflectance characterization of important Arctic tundra vegetation communities at representative Siberian and Alaskan tundra sites as basis for the extraction of vegetation parameters, and the normalization of BRDF effects in off-nadir and multi-temporal remote sensing data. Moreover, in preparation for the upcoming German EnMAP (Environmental Mapping and Analysis Program…
    Type of Medium: Dissertations
    Pages: circa 330 Seiten , Illustrationen, Diagramme
    Language: English
    Note: TABLE OF CONTENTS Abstract Kurzfassung Table of Contents List of Figures List of Tables List of Abbreviations List of Symbols 1 INTRODUCTION 1.1 Background and Scientific Setting 1.2 Motivation and Research Questions 1.3 Structure of Thesis 2 FUNDAMENTALS OF HYPERSPECTRAL AND SPECTRO-DIRECTIONAL REMOTE SENSING 2.1 Hyperspectral Remote Sensing of Vegetation 2.2 Spectro-Directional Remote Sensing of Vegetation 2.3 The EnMAP Satellite System 2.4 Spectro-Goniometer Systems for the Ground-Based Measurement of BRDF Effects 3 THE TUNDRA PERMAFROST STUDY LOCATIONS AND THEIR ENVIRONMENT 3.1 The Eurasia Arctic Transect (EAT) 3.1.1 Geological and Climatic Setting 3.1.2 Vegetation 3.2 The North American Arctic Transect (NAAT) 3.2.1 Geological and Climatic Setting 3.2.2 Vegetation 4 OBSERVATIONS AND METHODOLOGY 4.1 Observations Used for this Study 4.1.1 The ECI-GOA-Yamal 2011 Expedition 4.1.2 The EyeSight- NAAT-Alaska 2012 Expedition 4.1.3 Data Used for Hyperspectral Characterization of Arctic Tundra 4.1.4 Data Used for Spectro-Directional Characterization of Arctic Tundra 4.2 Methodology Used for Field Work and Data Analysis 4.2.1 Field Spectroscopy and Hyperspectral Data Analysis 4.2.2 Considerations for the Field Spectro-Goniometer Measurements and the Spectro-Directional Data Analysis 5 DEVELOPMENT AND PRECOMMISSIONING INSPECTION OF THE MANTIS FIELD SPECTRO-GONIOMETER 5.1 Introduction 5.2 Theoretical Background 5.3 Description of the Field Spectro-Goniometer System 5.3.1 Construction Schedule 5.3.2 Description of the Field Spectro-Goniometer Platform (ManTIS) 5.3.3 Sensor Configuration of the AWI ManTIS Field Spectro-Goniometer 5.3.4 Measurement Strategy 5.3.5 Software for Semi-Automatic Control 5.4 Error Assessment 5.4.1 Radiometrical Accuracy 5.4.2 Pointing Accuracy 5.4.3 Ground Instantaneous Field of View and Sensor Self-Shadowing 5.4.4 Temporal Illumination Changes and Environmental Influences 5.5 Data Analysis 5.5.1 Data Processing 5.5.2 Data Visualization 5.6 Performance of ManTIS Field Spectro-Goniometer in the Field 5.6.1 Test Site and Experiment Setup 5.6.2 Results and Discussion 5.7 Conclusions and Outlook 6 HYPERSPECTRAL REFLECTANCE CHARACTERIZATION OF LOW ARCTIC TUNDRA VEGETATION 6.1 Introduction 6.2 Material & Methods 6.2.1 Study Area 6.2.2 Environmental Gradients/Zones and Vegetation Description 6.2.3 Data Acquisition and Pre-Processing 6.2.4 Data Analysis 6.3 Results 6.3.1 The Zonal Climate Gradient 6.3.2 Acidic Versus Non-Acidic Tundra (Soil pH Zones) 6.3.3 The Toposequence at Happy Valley (Subzone E) 6.3.4 The Soil Moisture Gradient at Franklin Bluffs (Subzone D) 6.4 Discussion 6.4.1 Overview of Field Characterization and Spectral Properties along the Gradients 6.4.2 Performance of Spectral Metrics and Vegetation Indices 6.5 Conclusions 7 RESULTS OF THE SPECTRO-DIRECTIONAL REFLECTANCE INVESTIGATIONS 7.1 Overview of the Spectro-Directional Reflectance Characteristics of Low Arctic Tundra Vegetation 7.1.1 Representativeness of the Study Plots Representing Tundra Vegetation 7.1.2 Vaskiny Dachi – Bioclimate Subzone D 7.1.3 Happy Valley – Bioclimate Subzone E 7.1.4 Franklin Bluffs – Bioclimate Subzone D 7.2 Influence of High Sun Zenith Angles on the Reflectance Anisotropy 7.2.1 MAT (Happy Valley) 7.2.2 MNT (Franklin Bluffs) 7.3 Variability in Multi-Angular Remote Sensing Products of Low Arctic Tundra Environments 7.3.1 Spectro-Directional Variability of Different Low Arctic Plant Communities 7.3.2 Spectro-Directional Variability under Varying Sun Zenith Angles 8 DISCUSSION 8.1 The Hyperspectral Reflectance Characteristics of Tundra Vegetation in Context of the Spectro-Goniometer Measurements 8.2 Applicability of the ManTIS Field Spectro-Goniometer System 8.3 The Spectro-Directional Reflectance Characteristics of Tundra Vegetation 8.4 Variability in Reflectance Anisotropy at High Sun Zenith Angles 8.5 Applicability of Multi- Angular Remote Sensing Products for Arctic Tundra Environments 9 CONCLUSIONS & OUTLOOK Acknowledgments References Appendix Table of Contents of the Appendix References of the Appendix Statutory Declaration / Eidesstattliche Erklärung
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  • 6
    Call number: AWI Bio-20-93529
    Description / Table of Contents: The Arctic is considered as a focal region in the ongoing climate change debate. The currently observed and predicted climate warming is particularly pronounced in the high northern latitudes. Rising temperatures in the Arctic cause progressive deepening and duration of permafrost thawing during the arctic summer, creating an ‘active layer’ with high bioavailability of nutrients and labile carbon for microbial consumption. The microbial mineralization of permafrost carbon creates large amounts of greenhouse gases, including carbon dioxide and methane, which can be released to the atmosphere, creating a positive feedback to global warming. However, to date, the microbial communities that drive the overall carbon cycle and specifically methane production in the Arctic are poorly constrained. To assess how these microbial communities will respond to the predicted climate changes, such as an increase in atmospheric and soil temperatures causing increased bioavailability of organic carbon, it is necessary to investigate the current status …
    Type of Medium: Dissertations
    Pages: 146 Blätter , Illustrationen
    Language: English
    Note: Table of content Abstract Zusammenfassung 1. Introduction 1.1. Motivation 1.2. Scientific Background 1.2.1. Permafrost in arctic environments 1.2.2. Carbon storage and emission in arctic environments 1.2.3. Methane cycling in arctic environments 1.3. Study Sites 1.3.1. Lena-Delta, Siberia 1.3.2. El’gygytgyn Crater Lake, Chukotka 1.4. Objectives and approach 1.5. Thesis organization 1.6. Summary of the included manuscripts and contribution of the co-authors 1.6.1. Response of methanogenic archaea to Late Pleistocene and Holocene climate changes in the Siberian Arctic 1.6.2. Response of microbial communities to landscape and climatic changes in a terrestrial permafrost sequence of the El’gygytgyn crater, Far East Russian Arctic 1.6.3. Glacial-interglacial microbial community dynamics in Middle Pleistocene sediments in the Lake El’gygytgyn, Far East Russian Arctic 2. Response of methanogenic archaea to Late Pleistocene and Holocene climate changes in the Siberian Arctic 2.1. Abstract 2.2. Introduction 2.3. Materials and Methods 2.3.1. Study site 2.3.2. Permafrost drilling and sample preparation 2.3.3. Sediment properties 2.3.4. Potential methane production rates 2.3.5. Lipid biomarker analysis 2.3.6. Detection of archaeol and isoprenoid GDGTs 2.3.7. Detection of PLFAs and PLELs 2.3.8. DNA extraction and polymerase chain reaction (PCR) amplification 2.3.9. Phylogenetic analysis 2.4. Results and Discussion 2.4.1. Methane profile of the Kurungnakh permafrost sequence 2.4.2. Signals of living microbial communities in the Kurungnakh permafrost sequence 2.4.3. Reconstruction of past microbial communities in the Kurungnakh permafrost sequence 2.4.4. Climate impact on the distribution of microbial communities in the Kurungnakh permafrost sequence 2.4.5. Climatic impact on the composition of methanogenic communities in the Kurungnakh permafrost sequence 2.5. Conclusion 2.6. Acknowledgement 3. Response of microbial communities to landscape and climatic changes in a terrestrial permafrost sequence of the El’gygytgyn crater, Far East Russian Arctic 3.1. Abstract 3.2. Introduction 3.3. Materials and Methods 3.3.1.Study site 3.3.2. Drilling and sample material 3.3.3. Sediment properties 3.3.4. Lipid biomarker analysis 3.3.5. Detection of glycerol dialkyl glycerol tetraethers (GDGTs) and archaeol 3.3.6. Detection of phospholipid fatty acids (PLFA) 3.3.7. Deoxyribonucleic acid (DNA) extraction and amplification 3.3.8. Quantitative PCR analysis of archaeal and bacterial small sub unit (SSU) rRNA genes 3.3.9. Phylogenetic analysis 3.4. Results 3.4.1. TOC-contents 3.4.2. Distribution of glycerol dialkyl glycerol tetraethers (GDGTs) and archaeol 3.4.3. Distribution of phospholipid fatty acids (PLFA) 3.4.4. Composition of archaeol and isoprenoid GDGTs 3.4.5. Quantification of bacterial and archaeal genes 3.4.6. Analysis of methanogenic community fingerprints 3.5. Discussion 3.5.1. Microbial communities in subaquatic deposits 3.5.2. Microbial communities in subaerial deposits 3.5.3. Microbial succession in the Holocene sequence of Lake El’gygytgyn permafrost 3.6.Conclusion 3.7. Acknowledgements 4. Glacial-interglacial microbial community dynamics in Middle Pleistocene sediments in the Lake El’gygytgyn, Far East Russian Arctic 4.1. Abstract 4.2. Introduction 4.3. Materials and Methods 4.3.1. Study site 4.3.2. Drilling and sample preparation 4.3.3. Sediment properties 4.3.4. Lipid biomarker analyses 4.3.5. Deoxyribonucleic acid (DNA) extraction and quantitative polymerase chain reaction (qPCR) 4.3.6. PCR amplification of methanogenic SSU rRNA genes 4.4. Results 4.4.1. Sedimentary TOC and biogenic silica concentration 4.4.2. Quantification of bacterial and archaeal genes 4.4.3. Quantification and composition of lipid biomarkers 4.4.4. Potential methane production 4.4.5. Methanogenic community composition 4.5. Discussion 4.6. Acknowledgements 5. Synthesis 5.1. The reaction of microbial communities to past climatic change in the Arctic 5.2.The response of microbial communities to carbon composition and availability 5.3. Implications from this study for future research 6. Data collection 6.1. Manuscript I: Response of methanogenic archaea to Late Pleistocene and Holocene climate changes in the Siberian Arctic 6.1.1. Sediment properties 6.1.2. Isoprenoid glycerol dialkyl glycerol tetraethers and archaeol 6.1.3. Branched glycerol dialkyl glycerol tetraethers 6.1.4. Phospholipid ester and ether lipids (summary) 6.2. Manuscript II: Response of microbial communities to landscape and climatic changes in a terrestrial permafrost sequence of the El’gygytgyn crater, Far East Russian Arctic 6.2.1. Sediment properties and gene quantifications 6.2.2. Phospholipid fatty acids composition 6.2.3. Isoprenoid glycerol dialkyl glycerol tetraethers and archaeol 6.2.4. Branched glycerol dialkyl glycerol tetraethers 6.3. Manuscript III: Glacial-interglacial microbial community dynamics in Middle Pleistocene sediments in the Lake El’gygytgyn, Far East Russian Arctic 6.3.1. Sediment properties and gene quantifications 6.3.2. Isoprenoid glycerol dialkyl glycerol tetraethers and archaeol 6.3.3. Branched glycerol dialkylglycerol tetraethers 7. References 8. Final thoughts and acknowledgements 9. Curriculum vitae 10.Erklärung
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  • 7
    Call number: AWI G5-20-94097
    Type of Medium: Dissertations
    Pages: vi, 127 Seiten , Illustrationen, Diagramme, Karten
    Language: English
    Note: Dissertation, Universität Potsdam, 2020 , Table of contents Abstract Kurzfassung Table of contents Chapter 1: Introduction 1.1 The challenge of proxy uncertainties 1.2 Aims and approaches 1.3 Thesis outline and author's contributions Chapter 2: Comparing methods for analysing time scale dependent correlations in irregularly sampled time series data 2.1 Abstract 2.2 Introduction 2.3 Methods 2.3.1 Time scale dependency 2.3.2 Irregularity 2.3.3 Surrogate data 2.3.3.1 Construction of surrogate signals 2.3.3.2 Construction of irregular sampling 2.3.4 Evaluation of the estimation methods 2.4 Results 2.4.1 Correlation of red signal - white noise time series 2.4.2 Correlation of white signal - white noise time series 2.5 Discussion 2.5.1 Effect of irregularity and non-simultaneousness in sampling 2.5.2 Choosing the best method 2.5.2.1 Handling irregularity 2.5.2.2 Accounting for time scale dependency 2.5.3 Example application to observed proxy records 2.6 Conclusion 2.7 Computer code availability 2.8 Acknowledgements 2.9 Appendix 2-A. Significance test for time scale dependent correlation estimates Chapter 3: Empirical estimate of the signal content of Holocene temperature proxy records 3.1 Abstract 3.2 Introduction 3.3 Data 3.3,1 Proxy records 3.3.2 Climate model simulations 3.4 Method 3.4.1 Approach and assumptions 3.4.2 Spatial correlation structure of model vs. reanalysis data 3.4.3 Processing steps 3.4.3.1 Estimation of the spatial correlation structure 3.4.3.2 Estimation of the SNRs 3.5 Results 3.5.1 Spatial correlation structure and correlation decay length 3.5.2 SNR estimates 3.6 Discussion 3.6.1 Spatial correlation structure of model simulations 3.6.2 Finite number of proxy records 3.6.3 Proxy-specific recording of climate variables 3.6.4 Time uncertainty and non-climatic components of the proxy signal 3.6.5 Implications and future steps forward 3.7 Conclusion 3.8 Code availability 3.9 Data availability 3.10 Acknowledgements Chapter 4: Testing the consistency of Holocene and Last Glacial Maximum spatial correlations in temperature proxy records 4.1 Abstract 4.2 Introduction 4.3 Data 4.4 Method 4.4.1 Approach and assumptions 4.4.2 Holocene and LGM spatial correlation structure from climate model simulation 4.4.3 Effect of changes in climate variability on the predicted correlations 4.4.4 Effect of changes in time uncertainty on the predicted correlations 4.4.S Estimating the surrogate-based LGM spatial correlation and accounting for parameter uncertainty 4.5 Results 4.6 Discussion 4.6.1 Proxy-specific recording and finite number of records 4.6.2 Time uncertainty of proxy records 4.6.3 Contrary behaviour of U K'37 records 4.6.4 Spatial correlation structure and orbital trends 4.7 Conclusion 4.8 Acknowledgements 4.9 Appendix 4-A. Deriving the effect of a different signal variance on the correlation Chapter 5: Synthesis 5.1 Irregular sampling and time scale dependent correlations 5.2 Spatial correlation structure of proxy records 5.3 Consistency of spatial correlations for different climate states 5.4 Signal content of proxy records 5.5 Concluding remarks and Outlook Chapter A: Supplement of Chapter 3 - Empirical estimate of the signal content of Holocene temperature proxy records A.1 Supplementary Figures A.2 Supplementary Tables Chapter B: Supplement of Chapter 4 - Testing the consistency of Holocene and Last Glacial Maximum spatial correlations of temperature proxy records 8.1 Supplementary Figures 8.2 Supplementary Tables References Danksagung Eidesstattliche Erklärung
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  • 8
    Dissertations
    Dissertations
    Potsdam : Universität Potsdam
    Call number: AWI G3-22-94736
    Type of Medium: Dissertations
    Pages: IX, 190 Seiten , Illustrationen
    Language: English
    Note: Dissertation, Universität Potsdam, 2008 , Table of contents Kurzfassung Abstract Chapter 1: Introduction 1.1 Scientific background 1.1.1 Arctic environmental dynamics 1.1.2 Freshwater ostracods and their use in palaeoenvironmental studies 1.1.3 Permafrost and periglacial environment 1.2 Aims and approaches 1.3 Study region 1.3.1 Study sites 1.3.2 Geological characteristics 1.3.3 Climate 1.3.4 Periglacial freshwaters 1.4 Synopsis Chapter 2: Arctic freshwater ostracods from modern periglacial environments in the Lena River Delta (Siberian Arctic, Russia): geochemical applications for palaeoenvironmental reconstructions 2.1 Abstract 2.2 Introduction 2.3 Study area and types of water bodies 2.4 Materials and methods 2.5 Results 2.5.1 Physico-chemical characteristics of the ostracod habitats 2.5.2 Ostracod taxonomy and environmental ranges of their habitats 2.5.3 Ostracod geochemistry 2.6 Discussion 2.6.1 Taxonomy and ecology of ostracods 2.6.2 Element ratios in ostracods and ambient waters 2.6.3 Stable isotopes in ostracods and ambient waters 2.7 Conclusions Chapter 3: Evaporation effects as reflected in freshwaters and ostracod calcite from modern environments in Central and Northeast Yakutia (East Siberia, Russia) 3.1 Abstract 3.2 Introduction 3.3 Study area 3.4 Material and methods 3.4.1 Field work 3.4.2 Water analyses 3.4.3 Ostracod analyses 3.5 Results 3.5.1 Physico-chemical characteristics of the lakes and ponds 3.5.2 Ostracod taxonomy and environmental ranges 3.5.3 Stable isotopes in host waters and ostracod calcite 3.5.4 Element ratios in host waters and ostracod calcite 3.6 Discussion 3.6.1 Physico-chemical characteristics of the lakes and ponds 3.6.2 Ostracod taxonomy, biogeography, and environmental ranges 3.6.3 Stable isotopes in ostracod calcite 3.6.4 Element ratios in ostracod calcite 3.7 Conclusions Chapter 4: Eemian and Late Glacial/Holocene palaeoenvironmental records from permafrost sequences at the Dimitri Laptev Strait (NE Siberia, Russia) 4.1 Abstract 4.2 Introduction 4.3 Regional setting 4.4 Material and methods 4.4.1 Field methods and cryolithology 4.4.2 Geochronology 4.4.3 Sedimentology and stable isotopes 4.4.4 Palaeoecological proxies 4.5 Results 4.5.1 Geochronology, lithostratigraphy, sedimentology, and cryolithology 4.5.1.1 Eemian sequences 4.4.1.2 Late Glacial/Holocene sequences 4.5.2 Stable isotope ground ice records 4.5.3 Pollen studies 4.5.3.1 Eemian sequences 4.5.3.2 Late Glacial/Holocene sequences 4.5.4 Ostracod studies 4.5.4.1 Eemian sequences 4.5.4.2 Late Glacial/Holocene sequences 4.6 Discussion and Interpretation 4.6.1 Local palaeoenvironmental changes during the Eemian 4.6.2 Local palaeoenvironmental changes during the Late Glacial/Holocene 4.6.3 Palaeoenvironmental interpretation of ostracod calcite δ18O data 4.7 Conclusions Chapter 5: Synthesis 5.1 Taxonomy and ecology of ostracods 5.2 Geochemistry of ostracods 5.3 Indicator potential of freshwater ostracods in late Quaternary permafrost deposits 5.4 Outlook Appendix I: Freshwater ostracodes in Quaternary permafrost deposits in the Siberian Arctic I.1 Abstract I.2 Introduction I.3 Study area and geological background I.4 Materials and methods I.5 Results and interpretations I.5.1 Ostracode zone I I.5.2 Ostracode zone II I.5.3 Ostracode zone III I.5.4 Ostracode zone IV I.5.5 Ostracode zone V I.5.6 Ostracode zone VI I.6 Conclusions 125 Appendix II: Palaeoenvironmental dynamics inferred from late Quaternary permafrost deposits on Kurungnakh Island, Lena Delta, Northeast Siberia, Russia II.1 Abstract II.2 Introduction II.3 Regional setting II.4 Material and methods II.4.1 Sedimentology and cryolithology II.4.2 Geochronology II.4.3 Stable isotopes II.3.4 Palaeoecological proxies II.5 Results II.5.1 Lithostratigraphy, sedimentology, and cryolithology II.5.1.1 Unit I II.5.1.2 Unit II II.5.1.3 Unit III II.5.1.4 Unit IV II.5.1.5 Unit V II.5.2 Geochronology II.5.3 Oxygen and hydrogen stable isotopes of ground ice II.5.4 Palynological studies II.5.5 Plant macrofossils II.5.6 Ostracod remains II.5.7 Insect remains II.5.8 Mammal remains II.6 Discussion II.6.1 Local stratigraphic and palaeoenvironmental interpretation II.6.2 Beringian palaeoenvironmental context II.7 Conclusions Supplementary data A Supplementary data B Supplementary data C Appendix III: Data tables from Chapters 2 and 3 Appendix IV: References Acknowledgements
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  • 9
    Call number: AWI A11-22-94735
    Description / Table of Contents: Over the last decades, the rate of near-surface warming in the Arctic is at least double than elsewhere on our planet (Arctic amplification). However, the relative contribution of different feedback processes to Arctic amplification is a topic of ongoing research, including the role of aerosol and clouds. Lidar systems are well-suited for the investigation of aerosol and optically-thin clouds as they provide vertically-resolved information on fine temporal scales. Global aerosol models fail to converge on the sign of the Arctic aerosol radiative effect (ARE). In the first part of this work, the optical and microphysical properties of Arctic aerosol were characterized at case study level in order to assess the short-wave (SW) ARE. A long-range transport episode was first investigated. Geometrically similar aerosol layers were captured over three locations. Although the aerosol size distribution was different between Fram Strait(bi-modal) and Ny-Ålesund (fine mono-modal), the atmospheric column ARE was similar. The latter was related to the domination of accumulation mode aerosol. Over both locations top of the atmosphere (TOA) warming was accompanied by surface cooling. Subsequently, the sensitivity of ARE was investigated with respect to different aerosol and spring-time ambient conditions. A 10% change in the single-scattering albedo (SSA) induced higher ARE perturbations compared to a 30% change in the aerosol extinction coefficient. With respect to ambient conditions, the ARETOA was more sensitive to solar elevation changes compared to AREsur f ace. Over dark surfaces the ARE profile was exclusively negative, while over bright surfaces a negative to positive shift occurred above the aerosol layers. Consequently, the sign of ARE can be highly sensitive in spring since this season is characterized by transitional surface albedo conditions. As the inversion of the aerosol microphysics is an ill-posed problem, the inferred aerosol size distribution of a low-tropospheric event was compared to the in-situ measured distribution. Both techniques revealed a bi-modal distribution, with good agreement in the total volume concentration. However, in terms of SSA a disagreement was found, with the lidar inversion indicating highly scattering particles and the in-situ measurements pointing to absorbing particles. The discrepancies could stem from assumptions in the inversion (e.g. wavelength-independent refractive index) and errors in the conversion of the in-situ measured light attenuation into absorption. Another source of discrepancy might be related to an incomplete capture of fine particles in the in-situ sensors. The disagreement in the most critical parameter for the Arctic ARE necessitates further exploration in the frame of aerosol closure experiments. Care must be taken in ARE modelling studies, which may use either the in-situ or lidar-derived SSA as input. Reliable characterization of cirrus geometrical and optical properties is necessary for improving their radiative estimates. In this respect, the detection of sub-visible cirrus is of special importance. The total cloud radiative effect (CRE) can be negatively biased, should only the optically-thin and opaque cirrus contributions are considered. To this end, a cirrus retrieval scheme was developed aiming at increased sensitivity to thin clouds. The cirrus detection was based on the wavelet covariance transform (WCT) method, extended by dynamic thresholds. The dynamic WCT exhibited high sensitivity to faint and thin cirrus layers (less than 200 m) that were partly or completely undetected by the existing static method. The optical characterization scheme extended the Klett–Fernald retrieval by an iterative lidar ratio (LR) determination (constrained Klett). The iterative process was constrained by a reference value, which indicated the aerosol concentration beneath the cirrus cloud. Contrary to existing approaches, the aerosol-free assumption was not adopted, but the aerosol conditions were approximated by an initial guess. The inherent uncertainties of the constrained Klett were higher for optically-thinner cirrus, but an overall good agreement was found with two established retrievals. Additionally, existing approaches, which rely on aerosol-free assumptions, presented increased accuracy when the proposed reference value was adopted. The constrained Klett retrieved reliably the optical properties in all cirrus regimes, including upper sub-visible cirrus with COD down to 0.02. Cirrus is the only cloud type capable of inducing TOA cooling or heating at daytime. Over the Arctic, however, the properties and CRE of cirrus are under-explored. In the final part of this work, long-term cirrus geometrical and optical properties were investigated for the first time over an Arctic site (Ny-Ålesund). To this end, the newly developed retrieval scheme was employed. Cirrus layers over Ny-Ålesund seemed to be more absorbing in the visible spectral region compared to lower latitudes and comprise relatively more spherical ice particles. Such meridional differences could be related to discrepancies in absolute humidity and ice nucleation mechanisms. The COD tended to decline for less spherical and smaller ice particles probably due to reduced water vapor deposition on the particle surface. The cirrus optical properties presented weak dependence on ambient temperature and wind conditions. Over the 10 years of the analysis, no clear temporal trend was found and the seasonal cycle was not pronounced. However, winter cirrus appeared under colder conditions and stronger winds. Moreover, they were optically-thicker, less absorbing and consisted of relatively more spherical ice particles. A positive CREnet was primarily revealed for a broad range of representative cloud properties and ambient conditions. Only for high COD (above 10) and over tundra a negative CREnet was estimated, which did not hold true over snow/ice surfaces. Consequently, the COD in combination with the surface albedo seem to play the most critical role in determining the CRE sign over the high European Arctic.
    Type of Medium: Dissertations
    Pages: x, 136 Seiten , Illustrationen, Diagramme, Karten
    Language: English
    Note: Dissertation, Universität Potsdam, 2021 , CONTENTS 1 INTRODUCTION 1.1 Motivation: Aerosol and cloud relevance to Arctic amplification 1.2 Theoretical background 1.2.1 Atmospheric aerosol 1.2.2 Aerosol in the Arctic 1.2.3 Cirrus clouds 1.3 Research questions 2 METHODS 2.1 lidar remote sensing techniqu 2.1.1 Elastic and Raman lidar equations 2.1.2 lidar signal corrections 2.1.3 Derivation of particle optical properties and related uncertainties 2.2 Lidar systems 2.2.1 Ground-based system KARL 2.2.2 Air-borne system AMALi 2.2.3 Space-borne system CALIOP 2.3 Ancillary instrumentation 2.3.1 Radiosondes 2.3.2 Sun-photometers 2.3.3 Radiation sensors 2.4 Modeling tools 2.4.1 Air mass backward trajectories 2.4.2 Aerosol microphysics retrieval algorithm 2.4.3 Radiative transfer model SCIATRAN 2.4.4 Multiple-scattering correction model 2.4.5 Simplified cloud radiative effect model 3 ARCTIC AEROSOL PROPERTIES AND RADIATIVE EFFECT (CASE STUDIES) 3.1 Aerosol in the upper troposphere (Spring) 3.1.1 Overview of aerosol observations and air mass origin 3.1.2 Modification of aerosol optical and microphysical properties 3.1.3 Aerosol radiative effect (ARE) 3.2 Sensitivities of the spring-time Arctic ARE 3.2.1 Sensitivity on aerosol related parameters 3.2.2 Sensitivity on ambient conditions 3.3 Aerosol in the lower troposphere (Winter) 3.3.1 Overview of remote sensing and in-situ measurements 3.3.2 Aerosol properties from the remote sensing perspective: KARL and CALIOP 3.3.3 Aerosol microphysical properties from in-situ and remote sensing perspectives 3.4 Discussion and Conclusions 4 DEVELOPMENT OF A CIRRUS CLOUD RETRIEVAL SCHEME 4.1 Fine-scale cirrus cloud detection 4.1.1 Selection of cirrus clouds 4.1.2 Wavelet Covariance Transform method 4.1.3 Revised detection method: Dynamic Wavelet Covariance Transform 4.2 Comparison of dynamic and static cirrus detection 4.3 Cirrus cloud optical retrievals 4.3.1 Existing cirrus optical retrievals: double-ended Klett and Raman 4.3.2 Temporal averaging within stationary periods 4.3.3 Revised optical retrieval: constrained Klett method 4.4 Comparison to established optical retrievals 4.5 How uncertainties in cirrus detection affect the optical retrievals? 4.6 Discussion 4.6.1 Limitations of cirrus retrieval schemes 4.6.2 Strengths of the revised retrieval scheme 4.7 Conclusions 5 LONG-TERM ANALYSIS OF ARCTIC CIRRUS CLOUD PROPERTIES 5.1 Overview of cirrus occurrence and meteorological conditions over Ny-Ålesund 5.2 Quality assurance of optical properties 5.2.1 Specular reflection effect 5.2.2 Investigation of extreme cirrus lidar ratio values 5.2.3 Multiple-scattering correction 5.3 Overview of cirrus optical properties over Ny-Ålesund 5.4 Inter-relations of cirrus properties 5.5 Dependence on meteorological conditions 5.5.1 Cirrus clouds in the tropopause 5.6 CRE estimation at TOA: sensitivity analysis 5.7 Conclusions 6 CONCLUSIONS AND OUTLOOK A CIRRUS DETECTION SENSITIVITIES a.1 Wavelet Covariance Transform - dilation sensitivity a.2 Wavelet Covariance Transform - wavelength dependency B CIRRUS OPTICAL CHARACTERIZATION SENSITIVITIES b.1 Reference value accuracy and limitations b.2 Inherent uncertainties of constrained Klett C MULTIPLE-SCATTERING CORRECTION FOR CIRRUS CLOUDS D SEASONAL CIRRUS PROPERTIES: DESCRIPTIVE STATISTICS BIBLIOGRAPHY
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  • 10
    Call number: AWI A6-21-94541
    Description / Table of Contents: Stratospheric variability is one of the main potential sources for sub-seasonal to seasonal predictability in mid-latitudes in winter. Stratospheric pathways play an important role for long-range teleconnections between tropical phenomena, such as the quasi-biennial oscillation (QBO) and El Niño-Southern Oscillation (ENSO), and the mid-latitudes on the one hand, and linkages between Arctic climate change and the mid-latitudes on the other hand. In order to move forward in the field of extratropical seasonal predictions, it is essential that an atmospheric model is able to realistically simulate the stratospheric circulation and variability. The numerical weather prediction (NWP) configuration of the ICOsahedral Non-hydrostatic atmosphere model ICON is currently being used by the German Meteorological Service for the regular weather forecast, and is intended to produce seasonal predictions in future. This thesis represents the first extensive evaluation of Northern Hemisphere stratospheric winter circulation in ICON-NWP by analysing a ...
    Type of Medium: Dissertations
    Pages: viii, 119 Seiten , Illustrationen, Diagramme, Karten
    Language: English
    Note: Dissertation, Universität Potsdam, 2020 , Contents1 Introduction 1.1 Motivation: Seasonal prediction 1.2 The new atmosphere model ICON 1.3 Research questions 2 Theoretical background 2.1 Fundamentals of atmospheric circulation 2.1.1 Primitive equations 2.1.2 The global energy budget 2.1.3 Baroclinic instability 2.1.4 Vertical structure of the atmosphere 2.2 Stratospheric dynamics 2.2.1 Circulation patterns 2.2.2 Atmospheric waves 2.2.3 Sudden stratospheric warmings 2.2.4 Quasi-biennial oscillation 2.3 Atmospheric Teleconnections 2.3.1 NAM, NAO and PNA 2.3.2 El Niño-Southern Oscillation 2.3.3 Arctic-midlatitude linkages 3 Atmospheric model and methods of analysis 3.1 Atmospheric model ICON-NWP 3.1.1 Model description 3.1.2 Experimental setup 3.2 Reanalysis data ERA-Interim 3.3 Methods of analysis 3.3.1 NAM index for stratosphere–troposphere coupling 3.3.2 Stratospheric warmings 3.3.3 ENSO index and composites 3.3.4 Bias and error estimation 3.3.5 Statistical significance 4 Results 4.1 Evaluation of seasonal experiments with ICON-NWP 4.1.1 Tropospheric circulation 4.1.2 Stratospheric circulation 4.2 Effect of gravity wave drag parameterisations 4.2.1 Stratospheric effects 4.2.2 Effects on stratosphere-troposphere coupling 4.2.3 Tropospheric effects 4.3 Low latitudinal influence on the stratospheric polar vortex 4.3.1 Quasi-biennial oscillation 4.3.2 El Niño-Southern Oscillation 4.4 Arctic-midlatitude linkages 4.4.1 Tropospheric processes 4.4.2 Stratospheric pathway 4.4.3 Sea ice sensitivity experiment 5 Discussion and outlook Bibliography Appendix
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