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  • 1
    Series available for loan
    Series available for loan
    IASC Bulletin; 2019 (2019)
    Akureyri : International Arctic Science Committee
    Associated volumes
    Details Availability
    Call number: AWI P5-19-92711
    In: IASC ... bulletin, 2019
    Type of Medium: Series available for loan
    Pages: 78 Seiten , Illustrationen
    ISBN: 978-9935-24-531-1
    ISSN: 1654-7594
    Series Statement: IASC Bulletin 2019
    URL: https://iasc.info/images/media/print/bulletin/IASC_Bulletin_2019.pdf
    Language: English
    Note: CONTENTS PREFACE 1 IASC Internal Development IASC Organization IASC Council IASC Executive Committee Secretariat ISIRA IASC Medal 2019 2 IASC Working Groups Cross-cutting Activities Launching of MOSAiC, an IASC Flagship Initiative Atmosphere Working Group (AWG) Cryosphere Working Group (CWG) Marine Working Group (MWG) Social and Human Working Group (SHWG) Terrestrial Working Group (TWG) 3 Arctic Science Summit Week 2018 POLAR2018: Where the Poles Come Together Upcoming ASSWs 4 Data and Observations#Arctic Data Committee (ADC) Sustaining Arctic Observing Networks (SAON) 5 Capacity Building IASC Fellowship Program Fellows’ Voices Overview of Supported Early Career Scientists
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  • 2
    Monograph available for loan
    Monograph available for loan
    INTERACT fieldwork planning handbook (2019)
    [Roskilde] : DCE - Danish Centre for Environment and Energy, Aarhus University
    Details Availability
    Call number: AWI P5-19-92578
    Type of Medium: Monograph available for loan
    Pages: 148 Seiten , Illustrationen
    Edition: First edition
    ISBN: 978-87-93129-13-9
    URL: https://drive.google.com/file/d/1u1eYYAnnVHi0RH8Gz0RrLbTki3Q60dqY/view
    Language: English
    Note: CONTENTS ABOUT THE AUTHORS PREFACE FROM THE ASSOCIATION OF POLAR EARLY CAREER SCIENTISTS PREFACE FROM THE INTERACT STATION MANAGERS’ FORUM ABOUT INTERACT ABOUT APECS INTERACT STATIONS INTRODUCTION 1. Getting started – Outlining your field project 1.1 Scientific rationale and objectives 1.2 Methods and data requirements 1.3 What scientific equipment will you need? 1.4 Study site(s) 1.5 Risk assessment 1.5.1 Risk identification 1.5.2 Risk assessment 1.5.3 Risk mitigation 1.5.4 Contingency plans 1.6 Time schedules 1.6.1 Logistical organisation 1.6.2 Fieldwork activities 1.7 Project budget 1.8 Data and sample management 1.8.1 Data management plan 1.8.2 Sample labelling 1.8.3 Field instrumentation 1.9 Environmental compliance 1.10 Output Chapter resources 2. Further planning – Practicalities and legal issues 2.1 Applying for access to the station 2.2 Transport to the station and conditions for visiting 2.2.1 Access to the station 2.2.2 Conditions for visiting 2.3 Visas and permits required by national authorities 2.3.1 Visas 2.3.2 Permits 2.4 Working with local communities 2.5 Equipment transport 2.6 Checklists and equipment 2.6.1 Checklists 2.6.2 Personal clothing 2.7 Import and export regulations 2.7.1 Import and export permits 2.7.2 Transporting hazardous goods 2.7.3 Handling cooled and frozen materials 2.8 Insurance 2.9 Check-ups and chronical illness 2.10 Training activities 2.11 Financial and other administrative issues 2.12 Final checks before leaving Chapter resources 3. Safety 3.1 General safety guidelines 3.2 Safety barriers 3.2.1 Knowledge, experience, and skills 3.2.2 Attitude and culture 3.2.3 Judgement and leadership 3.2.4 Trip plan 3.3 Education and training 3.4 Health and first aid 3.4.1 Medicine and chronic illness 3.4.2 First aid 3.5 Transport 3.5.1 Aircraft 3.5.2 Boats 3.5.3 Snowmobiles 3.5.4 Vehicles (Automobiles and ATV’s) 3.6 Risks at the station 3.6.1 Fire 3.6.2 In the kitchen 3.6.3 Electricity 3.6.4 Hygiene 3.6.5 Laboratory work and chemicals 3.6.6 Workshops and equipment use 3.7 Risks in the field and at the camp 3.7.1 Field camps 3.7.2 Cooking and water treatment 3.7.3 Firearms 3.7.4 Extreme activities 3.8 Natural hazards 3.8.1 Weather change 3.8.2 Glacier fieldwork 3.8.3 Snow avalanches and cornice falls 3.8.4 Steep terrain: Rock avalanches, rock falls, and mud slides 3.8.5 Sea-ice or frozen lakes and rivers 3.8.6 River crossings 3.8.7 Wildlife 3.9 Means of communication 3.9.1 Fieldwork plans and sign in/out boards 3.9.2 Routine calls 3.9.3 Non-routine calls 3.9.4 Emergency calls 3.10 Safety equipment 3.10.1 Communication equipment 3.10.2 Navigation equipment 3.10.3 Clothing 3.10.4 Field camp equipment 3.10.5 Specific safety equipment 3.11 Emergency preparedness Chapter resources 4. Arrival at the station and your time in the field 4.1 Getting to know your team 4.2 Arrival at the station 4.3 Working at field sites 4.4 In case something does not go according to plan 4.4.1 Handling delays 4.4.2 Handling conflicts 4.4.3 Harassment and discrimination 4.5 Environmental considerations 4.5.1 Pollution prevention 4.5.2 Waste management 4.5.3 Reducing energy use 4.5.4 Respect protected areas, fauna, and flora 4.6 Working with local communities 4.7 Communication with the outside world 4.8 Leaving the field Chapter resources 5. After fieldwork 5.1 Reporting to the station, funders, and local communities 5.2 Data preservation, backup, and submission APPENDICES Appendix A: Checklists Appendix B: Equipment lists Appendix C: Health risks
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  • 3
    Dissertations
    Dissertations
    Exploring the seasonality of rapid Arctic changes from space : monitoring of permafrost disturbance, snow cover and vegetation in tundra environments with TerraSAR-X (2019)
    Potsdam : Universität Potsdam
    Details Availability
    Call number: AWI G8-19-92586
    Description / Table of Contents: Arctic warming has implications for the functioning of terrestrial Arctic ecosystems, global climate and socioeconomic systems of northern communities. A research gap exists in high spatial resolution monitoring and understanding of the seasonality of permafrost degradation, spring snowmelt and vegetation phenology. This thesis explores the diversity and utility of dense TerraSAR-X (TSX) X-Band time series for monitoring ice-rich riverbank erosion, snowmelt, and phenology of Arctic vegetation at long-term study sites in the central Lena Delta, Russia and on Qikiqtaruk (Herschel Island), Canada. In the thesis the following three research questions are addressed: • Is TSX time series capable of monitoring the dynamics of rapid permafrost degradation in ice-rich permafrost on an intra-seasonal scale and can these datasets in combination with climate data identify the climatic drivers of permafrost degradation? • Can multi-pass and multi-polarized TSX time series adequately monitor seasonal snow cover and snowmelt in small Arctic catchments and how does it perform compared to optical satellite data and field-based measurements? • Do TSX time series reflect the phenology of Arctic vegetation and how does the recorded signal compare to in-situ greenness data from RGB time-lapse camera data and vegetation height from field surveys? To answer the research questions three years of TSX backscatter data from 2013 to 2015 for the Lena Delta study site and from 2015 to 2017 for the Qikiqtaruk study site were used in quantitative and qualitative analysis complimentary with optical satellite data and in-situ time-lapse imagery. The dynamics of intra-seasonal ice-rich riverbank erosion in the central Lena Delta, Russia were quantified using TSX backscatter data at 2.4 m spatial resolution in HH polarization and validated with 0.5 m spatial resolution optical satellite data and field-based time-lapse camera data. Cliff top lines were automatically extracted from TSX intensity images using threshold-based segmentation and vectorization and combined in a geoinformation system with manually digitized cliff top lines from the optical satellite data and rates of erosion extracted from time-lapse cameras. The results suggest that the cliff top eroded at a constant rate throughout the entire erosional season. Linear mixed models confirmed that erosion was coupled with air temperature and precipitation at an annual scale, seasonal fluctuations did not influence 22-day erosion rates. The results highlight the potential of HH polarized X-Band backscatter data for high temporal resolution monitoring of rapid permafrost degradation. The distinct signature of wet snow in backscatter intensity images of TSX data was exploited to generate wet snow cover extent (SCE) maps on Qikiqtaruk at high temporal resolution. TSX SCE showed high similarity to Landsat 8-derived SCE when using cross-polarized VH data. Fractional snow cover (FSC) time series were extracted from TSX and optical SCE and compared to FSC estimations from in-situ time-lapse imagery. The TSX products showed strong agreement with the in-situ data and significantly improved the temporal resolution compared to the Landsat 8 time series. The final combined FSC time series revealed two topography-dependent snowmelt patterns that corresponded to in-situ measurements. Additionally TSX was able to detect snow patches longer in the season than Landsat 8, underlining the advantage of TSX for detection of old snow. The TSX-derived snow information provided valuable insights into snowmelt dynamics on Qikiqtaruk previously not available. The sensitivity of TSX to vegetation structure associated with phenological changes was explored on Qikiqtaruk. Backscatter and coherence time series were compared to greenness data extracted from in-situ digital time-lapse cameras and detailed vegetation parameters on 30 areas of interest. Supporting previous results, vegetation height corresponded to backscatter intensity in co-polarized HH/VV at an incidence angle of 31°. The dry, tall shrub dominated ecological class showed increasing backscatter with increasing greenness when using the cross polarized VH/HH channel at 32° incidence angle. This is likely driven by volume scattering of emerging and expanding leaves. Ecological classes with more prostrate vegetation and higher bare ground contributions showed decreasing backscatter trends over the growing season in the co-polarized VV/HH channels likely a result of surface drying instead of a vegetation structure signal. The results from shrub dominated areas are promising and provide a complementary data source for high temporal monitoring of vegetation phenology. Overall this thesis demonstrates that dense time series of TSX with optical remote sensing and in-situ time-lapse data are complementary and can be used to monitor rapid and seasonal processes in Arctic landscapes at high spatial and temporal resolution.
    Type of Medium: Dissertations
    Pages: XIII, 131 Seiten , Illustrationen
    URL: https://doi.org/10.25932/publishup-42578
    Language: Undetermined
    Note: Dissertation, Universität Potsdam, 2019 , TABLE OF CONTENTS Abstract Zusammenfassung Table of contents List of figures List of tables List of abbreviations 1 Introduction 1.1 Scientific background and motivation 1.1.1 Permafrost degradation 1.1.2 Snow cover 1.1.3 Vegetation phenology 1.2 Remote sensing of rapid changes 1.2.1 SAR remote sensing 1.2.2 TerraSar-X 1.3 Data and methods 1.4 Aims and objectives 1.5 Study areas and data 1.6 Thesis structure and author contributions 1.6.1 Chapter 2 – Monitoring inter-and intra-seasonal dynamics of rapidly degrading ice-rich permafrost riverbanks in the Lena Delta with TerraSAR-X time series 1.6.2 Chapter 3 – TerraSAR-X time series fill a gap in spaceborne snowmelt monitoring of small Arctic catchments 1.6.3 Chapter 4 – Estimation of Arctic tundra vegetation phenology with TerraSAR-X 2 Monitoring inter-and intra-seasonal dynamics of rapidly degrading ice-rich permafrost riverbanks in the Lena Delta with TerraSAR-X time series 2.1 Abstract 2.2 Introduction 2.3 Study area 2.4 Data and methods 2.4.1 SAR data and processing 2.4.2 Automated cliff-top line extraction from SAR data 2.4.3 Quantification of cliff-top erosion with the Digital Shoreline Analysis System 2.4.4 Cliff top mapping from optical satellite data 2.4.5 In-situ observations of cliff top erosion 2.4.6 Climate data 2.4.7 Statistical data analysis 2.5 Results 2.5.1 TSX erosion versus in-situ and optical datasets 2.5.2 Inter-and intra-annual cliff-top erosion and climate data 2.5.3 Backscatter time series 2.6 Discussion 2.6.1 Inter-annual dynamics of cliff-top erosion 2.6.2 Intra-annual dynamics of cliff-top erosion 2.6.3 Backscatter dynamics of tundra and cliff surfaces 2.7 Conclusions 2.8 Acknowledgments 3 TerraSAR-X time series fill a gap in spaceborne snowmelt monitoring of small Arctic catchments 3.1 Abstract 3.2 Introduction 3.3 Study area 3.4 Data and methods 3.4.1 SAR satellite data 3.4.2 Optical satellite data 3.4.3 In-situ time-lapse camera data 3.4.4 Snow Cover Extent from TerraSAR-X 3.4.5 Snow Cover Extent from Landsat 8 3.4.6 Accuracy assessment of TerraSAR-X Snow Cover Extent 3.4.7 Fractional Snow Cover time series analysis 3.5 Results 3.5.1 Evaluation of TSX Snow Cover Extent 3.5.2 Time series of Fractional Snow Cover in all catchments 3.5.3 Time series of Fractional SnowCover in small catchments 3.6 Discussion 3.6.1 Spatiotemporal monitoring of snowmelt dynamics using TSX 3.6.2 Technical considerations for using TSX for wet snow detection 3.7 Conclusions 3.8 Acknowledgements 3.9 Appendix 4 Relationships between X-Band SAR and vegetation phenology in a low Arctic ecosystem 4.1 Abstract 4.2 Introduction 4.3 Study area 4.4 Data and methods 4.4.1 In-situ time-lapse phenological cameras 4.4.2 Time-lapse image analysis 4.4.3 SAR satellite data 4.4.4 Backscatter and coherence time series 4.4.5 In-situ vegetation and climate data 4.5 Results 4.5.1 Phenocams 4.5.2 Backscatter dynamics 4.5.3 Coherence dynamics 4.6 Climate data 4.7 Backscatter and vegetation height 4.8 Discussion 4.9 Conclusion 4.10 Acknowledgments 5 Synthesis 5.1 Rapid permafrost disturbance 5.2 Snowmelt dynamics 5.3 Arctic tundra vegetation phenology 5.4 Seasonality and complementarity of TSX 5.5 Limitations and technical considerations 5.6 Key findings and outlook References Acknowledgements
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  • 4
    Dissertations
    Dissertations
    Hyperspectral remote sensing of the spatial and temporal heterogeneity of low Arctic vegetation : the role of phenology, vegetation colour, and intrinsic ecosystem components (2019)
    Potsdam : Universität Potsdam
    Details Availability
    Call number: AWI G8-19-92587
    Description / Table of Contents: Arctic tundra ecosystems are experiencing warming twice the global average and Arctic vegetation is responding in complex and heterogeneous ways. Shifting productivity, growth, species composition, and phenology at local and regional scales have implications for ecosystem functioning as well as the global carbon and energy balance. Optical remote sensing is an effective tool for monitoring ecosystem functioning in this remote biome. However, limited field-based spectral characterization of the spatial and temporal heterogeneity limits the accuracy of quantitative optical remote sensing at landscape scales. To address this research gap and support current and future satellite missions, three central research questions were posed: • Does canopy-level spectral variability differ between dominant low Arctic vegetation communities and does this variability change between major phenological phases? • How does canopy-level vegetation colour images recorded with high and low spectral resolution devices relate to phenological changes in leaf-level photosynthetic pigment concentrations? • How does spatial aggregation of high spectral resolution data from the ground to satellite scale influence low Arctic tundra vegetation signatures and thereby what is the potential of upcoming hyperspectral spaceborne systems for low Arctic vegetation characterization? To answer these questions a unique and detailed database was assembled. Field-based canopy-level spectral reflectance measurements, nadir digital photographs, and photosynthetic pigment concentrations of dominant low Arctic vegetation communities were acquired at three major phenological phases representing early, peak and late season. Data were collected in 2015 and 2016 in the Toolik Lake Research Natural Area located in north central Alaska on the North Slope of the Brooks Range. In addition to field data an aerial AISA hyperspectral image was acquired in the late season of 2016. Simulations of broadband Sentinel-2 and hyperspectral Environmental and Mapping Analysis Program (EnMAP) satellite reflectance spectra from ground-based reflectance spectra as well as simulations of EnMAP imagery from aerial hyperspectral imagery were also obtained. Results showed that canopy-level spectral variability within and between vegetation communities differed by phenological phase. The late season was identified as the most discriminative for identifying many dominant vegetation communities using both ground-based and simulated hyperspectral reflectance spectra. This was due to an overall reduction in spectral variability and comparable or greater differences in spectral reflectance between vegetation communities in the visible near infrared spectrum. Red, green, and blue (RGB) indices extracted from nadir digital photographs and pigment-driven vegetation indices extracted from ground-based spectral measurements showed strong significant relationships. RGB indices also showed moderate relationships with chlorophyll and carotenoid pigment concentrations. The observed relationships with the broadband RGB channels of the digital camera indicate that vegetation colour strongly influences the response of pigment-driven spectral indices and digital cameras can track the seasonal development and degradation of photosynthetic pigments. Spatial aggregation of hyperspectral data from the ground to airborne, to simulated satel-lite scale was influenced by non-photosynthetic components as demonstrated by the distinct shift of the red edge to shorter wavelengths. Correspondence between spectral reflectance at the three scales was highest in the red spectrum and lowest in the near infra-red. By artificially mixing litter spectra at different proportions to ground-based spectra, correspondence with aerial and satellite spectra increased. Greater proportions of litter were required to achieve correspondence at the satellite scale. Overall this thesis found that integrating multiple temporal, spectral, and spatial data is necessary to monitor the complexity and heterogeneity of Arctic tundra ecosystems. The identification of spectrally similar vegetation communities can be optimized using non-peak season hyperspectral data leading to more detailed identification of vegetation communities. The results also highlight the power of vegetation colour to link ground-based and satellite data. Finally, a detailed characterization non-photosynthetic ecosystem components is crucial for accurate interpretation of vegetation signals at landscape scales.
    Type of Medium: Dissertations
    Pages: vi, 126 Seiten , Illustrationen
    URL: https://doi.org/10.25932/publishup-42592
    Language: English
    Note: Dissertation, Universität Potsdam, 2019 , Table of Contents Abstract Zusammenfassung Abbreviations 1 Introduction 1.1 Scientific Background and Motivation 1.1.1 Arctic Tundra Vegetation 1.1.2 Remote Sensing of Arctic Tundra Vegetation 1.1.3 Hyperspectral Remote Sensing of Arctic Vegetation 1.2 Aims and Objectives 1.3 Study Area and Data 1.3.1 Toolik Lake Research Natural Area 1.3.2 In-situ Canopy-level Spectral Data 1.3.3 True-colour Digital Photographs 1.3.4 Leaf-level Photosynthetic Pigment Data 1.3.5 Airborne AISA Imagery 1.3.6 Simulated EnMAP and Sentinel-2 Reflectance Spectra 1.3.7 Simulated EnMAP Imagery 1.4 Thesis Structure and Author Contributions 1.4.1 Chapter 2 -A Phenological Approach to Spectral Differentiation of Low-Arctic Tundra Vegetation Communities, North Slope Alaska 1.4.2 Chapter 3 -Monitoring Pigment-driven Vegetation Changes in a Low Arctic Tundra Ecosystem Using Digital Cameras 1.4.3 Implications of Litter and Non-vascular Components on Multiscale Hyperspectral Data in a low-Arctic Ecosystem 2 A Phenological Approach to Spectral Differentiation of Low Arctic Tundra Vegetation Communities, North Slope Alaska 2.1 Abstract 2.2 Introduction 2.3 Materials and Methods 2.3.1 Study Site and Low Arctic Vegetation Types 2.3.2 Ground-Based Data and Sampling Protocol 2.3.3 EnMAP and Sentinel-2 Surface Reflectance Simulation 2.3.4 Stable Wavelength Identification Using the InStability Index 2.4 Results 2.4.1 Spectral Characteristics by Phenological Phase 2.4.2 InStability Index and Wavelength Selection of Ground-based Spectra 2.4.3 InStability Index and Wavelength Selection of Simulated Satellite Reflectance Spectra 2.5 Discussion 2.5.1 Phenological Phase and Wavelength Stability of Ground-based Spectra 2.5.2 Phenological Phase and Wavelength Stability of Satellite Resampled Spectra 2.5.3 Influence of Spatial Scale 2.6 Conclusions 2.7 Acknowledgements 2.8 Supplementary Material 2.8.1 Data Publication 3 Monitoring Pigment-driven Vegetation Changes in a Low Arctic Tundra Ecosystem Using Digital Cameras 3.1 Abstract 3.2 Introduction 3.3 Methods 3.3.1 Study Site 3.3.2 Digital Photographs 3.3.3 Field-based Spectral Data 3.3.4 Vegetation Pigment Concentration 3.3.5 Data Analyses 3.4 Results 3.4.1 RGB Indices as a Surrogate for Pigment-driven Spectral Indices 3.4.2 RGB Indices as a Surrogate for Leaf-level Pigment concentration 3.5 Discussion 3.6 Conclusions 3.7 Supplementary Material 3.7.1 Data Publication 4 Implications of Litter and Non-vascular Components on Multiscale Hyperspectral Data in a Low Arctic Ecosystem 4.1 Abstract 4.2 Introduction 4.3 Materials and Methods 4.3.1 Study Site 4.4 Remote Sensing Data 4.4.1 Ground-based Image Spectroscopy Data 4.4.2 Airborne AISA Hyperspectral Data 4.4.3 EnMAP Simulation 4.4.4 Spectral Comparison by Wavelength 4.4.5 Linear Mixture Analysis 4.5 Results 4.5.1 Spatial Scaling of Spectral Signals 4.6 Discussion 4.7 Conclusions 4.8 Acknowledgements 5 Synthesis and Discussion 5.1 Phenological Phase: does phenology influence the spectral variability of dominant low Arctic vegetation communities? 5.2 Vegetation Colour: How does canopy-level vegetation colour relate to phenological changes in leaf-level photosynthetic pigment concentration? 5.3 Intrinsic Ecosystem Components: How does spatial aggregation of high spectral resolution data influence low Arctic tundra vegetation signals? 5.4 Key Innovations 5.5 Limitations and Technical Considerations 5.6 Outlook: Opportunities for Future Research 6 References Acknowledgements
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  • 5
    Dissertations
    Dissertations
    Rapid climate changes in the Arctic region of Svalbard : processes, implications and representativeness for the broader Arctic (2019)
    Potsdam : Universität Potsdam
    Details Availability
    Call number: AWI A4-20-93991
    Description / Table of Contents: Over the last decades, the Arctic regions of the earth have warmed at a rate 2–3 times faster than the global average– a phenomenon called Arctic Amplification. A complex, non-linear interplay of physical processes and unique pecularities in the Arctic climate system is responsible for this, but the relative role of individual processes remains to be debated. This thesis focuses on the climate change and related processes on Svalbard, an archipelago in the North Atlantic sector of the Arctic, which is shown to be a "hotspot" for the amplified recent warming during winter. In this highly dynamical region, both oceanic and atmospheric large-scale transports of heat and moisture interfere with spatially inhomogenous surface conditions, and the corresponding energy exchange strongly shapes the atmospheric boundary layer. In the first part, Pan-Svalbard gradients in the surface air temperature (SAT) and sea ice extent (SIE) in the fjords are quantified and characterized. This analysis is based on observational data from meteorological stations, operational sea ice charts, and hydrographic observations from the adjacent ocean, which cover the 1980–2016 period. [...]
    Type of Medium: Dissertations
    Pages: xv, 123 Seiten , Illustrationen, Diagramme
    URL: http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-445542
    URL: https://doi.org/10.25932/publishup-44554
    URN: urn:nbn:de:kobv:517-opus4-445542
    DOI: 10.25932/publishup-44554
    Language: English
    Note: Dissertation, Universität Potsdam, 2020 , CONTENTS 1 Introduction 1.1 Context: A rapidly changing Arctic 1.1.1 Documentation of recent changes in the Arctic 1.1.2 Research relevance 1.1.3 Objective: Svalbard as a hotspot for climate change 1.2 Physical Background 1.2.1 Radiation and surface energy balance 1.2.2 Peculiarities of the Arctic climate system 1.2.3 Role of atmospheric circulation 1.3 The regional setup on Svalbard 2 data and methods 2.1 Data description 2.1.1 Era-Interim atmospheric reanalysis 2.1.2 Svalbard Station Meteorology 2.1.3 Sea Ice Extent 2.1.4 Ocean data products 2.1.5 FLEXTRA Trajectories 2.2 Statistical Methods 2.2.1 Trend estimation 2.2.2 Correlation 2.2.3 Coefficient of Determination 3 state of surface climate parameters: pan-svalbard differences 3.1 Motivation 3.2 Surface air temperature 3.2.1 Annual cycle 3.2.2 Annual temperature range 3.2.3 Long-term trends 3.3 Fjord Sea Ice coverage 3.3.1 Climatology 3.3.2 Sea ice cover trends 3.3.3 Regional classification across Svalbard 3.3.4 Drivers of regional differences 3.4 Discussion and Conclusion 3.5 Current state of climate projections for the Svalbard region 4 Air mass back trajectories 4.1 Methodology 4.2 Winter 4.2.1 Source Regions of Ny-Ålesund Air 4.2.2 Circulation changes 4.2.3 Quantification of Advective Warming 4.3 Summer 4.3.1 Source Regions of Ny-Ålesund Air 4.3.2 Circulation changes 4.3.3 Quantification of advective cooling 4.3.4 Observational Case Study: May/June 2017 4.4 Discussion and Conclusion 5 Changing drivers of the arctic near surface temperature budget 5.1 Winter 5.2 Summer 5.3 Summary 6 Summary and conclusion A Details on calculations A.1 SLP composite Index A.2 Derivation of coefficient of determination A.3 Temperature effect of changing source regions over time B Supplementary figures Bibliography
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  • 6
    Dissertations
    Dissertations
    The changing Arctic freshwater system : the biogeochemistry of small Arctic coastal catchments (2019)
    Potsdam
    Details Availability
    Call number: AWI G3-20-93465
    Type of Medium: Dissertations
    Pages: xi, 113, xxxvii Seiten , Illustrationen, Diagramme
    URL: Inhaltsverzeichnis
    Language: English
    Note: Table of Contents Abstract Zusammenfassung List of Figures List of Tables 1. Introduction 1.1 Scientific Background 1.1.1 Arctic Climate Change 1.1.2 Permafrost Degradation 1.1.3 The Arctic Freshwater System and its Biogeochemistry 1.2 Objectives 1.3 Study Region and Methods 1.3.1 Study Area 1.3.2 Field Sampling and Measurements 1.3.3 Geochemical Analyses 1.3.4 Data Processing 1.4 Thesis Structure 1.5 Author Contributions 2. Spatial Variability of Dissolved Organic Carbon, Solutes and Suspended Sediment in Disturbed Low Arctic Coastal Watersheds 2.1 Abstract 2.2 Introduction 2.3 Study Site 2.4 Methods 2.4.1 Stream Monitoring 2.4.2 Mapping of Disturbances 2.4.3 Flux Estimates and Statistics 2.5 Results 2.5.1 Catchment Disturbance 2.5.2 Runoff and Hydrochemistry 2.5.3 Lateral Transport of Stream Water 2.5.4 Hydrochemical Composition and Fluxes in Nearby Streams 2.6 Discussion 2.6.1 Total Runoff and Water Quality 2.6.2 Water Quality Changes from Headwaters to Downstream 2.6.3 Changes in Hydrochemistry and Isotopic Composition over Time 2.6.4 Importance of Disturbances for Hydrochemistry 2.7 Conclusions 2.8 Supplementary Material 3. Terrestrial Colored Dissolved Organic Matter (cDOM) in Arctic Catchments - Characterizing Organic Matter Composition Across the Arctic 3.1 Introduction 3.2 Study Area 3.3 Methods 3.3.1 Field Methods and Hydrochemistry 3.3.2 Statistical Analyses 3.4 Results 3.4.1 Meteorological Conditions and General Hydrochemistry 3.4.2 DOC and cDOM Absorption Characteristics 3.4.3 Downstream Patterns of DOC and cDOM Along Longitudinal Transects 3.4.4 Temporal Trends ofDOC and cDOM with Changing Meteorological Conditions 3.5 Discussion 3.5.1 Limitations of cDOM Measurements from Terrestrial Sources 3.5.2 Catchment Processes and Biogeochemical Cycling 3.5.2.1 Regional Catchment Properties 3.5.2.2 Rainfall Events 3.5.2.3 Downstream Patterns and Impact of Permafrost Disturbance 3.5.3 Nature of cDOM-DOC Across the Terrestrial Arctic 3.6 Conclusion 3.7 Supplementary Material 4. Summer Rainfall DOC, Solute and Sediment Fluxes in a Small Arctic Coastal Catchment on Herschel Island (Yukon Territory, Canada) 4.1 Abstract 4.2 Introduction 4.3 Study Site 4.4 Methodology 4.4.1 Weather data 4.4.2 Hydrology 4.4.3 Suspended Sediment and Hydrochemistry 4.4.4 Flux Estimates and Statistics 4.5 Results 4.5.1 Meteorological Conditions 4.5.2 Streamflow and Electrical Conductivity 4.5.3 Transport of Suspended Sediment and Organic Matter 4.5.4 Solute Transport 4.5.5 Alluvial Fan Sampling 4.6 Discussion 4.6.1 Hydrological Response 4.6.2 Water Quality and Fluxes 4.6.3 Rainfall Response and Flow Pathways 4.7 Conclusions 4.8 Supplementary Material 5. Synthesis 5.1 Impacts of Permafrost Degradation on Stream Biogeochemistry 5.2 Controls on DOM Quality across the Arctic 5.3 Biogeochemical Fluxes from Small Coastal Catchments to the Arctic Ocean 5.4 Challenges 5.5 Outlook Acronyms Bibliography Acknowledgements Eidesstattliche Erklärung
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  • 7
    facet.materialart.12
    OpenDroneMap : the missing guide ; a practical guide to drone mapping using free and open source software (2019)
    [Belleair Bluffs, Florida] : MasseranoLabs LLC
    Details
    Call number: 9781086027563 (e-book)
    Type of Medium: 12
    Pages: xi, 247 Seiten , Illustrationen , 23 cm
    Edition: First edition
    ISBN: 9781086027563 , 1086027566
    URL: http://bib.gfz-potsdam.de/intern/pubint/opendronemap-the-missing-guide.pdf
    Language: English
    Note: Contents Preface Acknowledgement Gold Supporters Silver Supporters I Introduction Why OpenDroneMap? What You Can Do with OpenDroneMap The Key To Becoming a Successful User II Getting Started Installing The Software Hardware Requirements Installing on Windows Installing on macOS Installing on Linux Basic Commands and Troubleshooting Hello, WebODM! Processing Datasets Dataset Size File Requirements Process Tasks Output Results Share With Others Export To Another WebODM Manage Plugins Change The Look & Feel Create New Users Manage Permissions How Does WebODM Process Images? The Processing Pipeline Load Dataset Structure From Motion Multi View Stereo Meshing Texturing Georeferencing Digital Elevation Model Processing Orthophoto Processing Task Options in Depth build-overviews cameras crop debug dem-decimation dem-euclidean-map dem-gapfill-steps dem-resolution depthmap-resolution dsm dtm end-with fast-orthophoto gcp help ignore-gsd matcher-distance matcher-neighbors max-concurrency merge mesh-octree-depth mesh-point-weight mesh-samples mesh-size min-num-features mve-confidence opensfm-depthmap-method opensfm-depthmap-min-patch-sd orthophoto-bigtiff orthophoto-compression orthophoto-cutline orthophoto-no-tiled orthophoto-resolution pc-classify pc-csv pc-ept pc-filter pc-las rerun rerun-all rerun-from resize-to skip-3dmodel sm-cluster smrf-scalar smrf-slope smrf-threshold smrf-window split split-overlap texturing-data-term texturing-keep-unseen-faces texturing-nadir-weight texturing-outlier-removal-type texturing-skip-global-seam-leveling texturing-skip-hole-filling texturing-skip-local-seam-leveling texturing-skip-visibility-test texturing-tone-mapping time use-3dmesh use-exif use-fixed-camera-params use-hybrid-bundle-adjustment use-opensfm-dense verbose version Ground Control Points Creating a GCP file using POSM GCPi Using GCP files How GCP files work Flying Tips Fly Higher Fly on Overcast Days Fly Between 10am and 2pm Fly at Different Elevations and Capture Multiple Angles Fly on Calm Days Increase Overlap Set Drone to Hover While Taking Images Check Camera Settings III Advanced Usages The Command Line Command Line Basics Using ODM Processed Files Owned By Root Add New Processing Nodes to WebODM Batch Geotagging of Images Using Exiftool Further Readings Docker Essentials Docker Basics Managing Containers Managing Images Managing Volumes Docker-Compose Basics Managing Disk Space Changing Entrypoint Assigning Names To Containers Jumping Into Existing Containers Making Changes Without Rebuilding Images Camera Calibration Option 1: Use an Existing Camera Model Option 2: Generate a Camera Model From a Calibration Target Taking Pictures of a Calibration Target Extracting a Camera Profile Manually Writing a cameras.json File Bonus: Checking Your LCP File by Manually Removing Geometric Distortion Processing Large Datasets Split-Merge Options Local Split-Merge Distributed Split-Merge Using Image Groups and GCPs Limitations The NodeODM API Launching a NodeODM Instance NodeODM Configuration Using the API with cURL Remove a Task API Specification Automated Processing With Python Getting Started Example 1: Hello NodeODM Example 2: Process Datasets Concluding Remarks API Reference Glossary About the Author
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  • 8
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    Ice ages and interglacials : measurements, interpretation, and models (2019)
    Cham : Springer
    Details
    Call number: 9783030104665 (e-book)
    Description / Table of Contents: It is not so long ago (a mere 17,000 years – a blink in geologic time) that vast areas of the Northern Hemisphere were covered with ice sheets up to two miles thick, lowering the oceans by more than 120 m. By 11,000 years ago, most of the ice was gone. Evidence from polar ice cores and ocean sediments show that Ice Ages were persistent and recurrent over the past 800,000 years. The data suggests that Ice Ages were the normal state, and were temporarily interrupted by interglacial warm periods about nine times during this period. Quasi-periodic variations in the Earth cause the solar input to high northern latitudes to vary with time over thousands of years. The widely accepted Milankovitch theory implies that the interglacial warm periods are associated with high solar input to high northern latitudes. However, many periods of high solar input to high northern latitudes occur during Ice Ages while the ice sheets remain. The data also indicates that Ice Ages will persist regardless of solar input to high northern latitudes, until several conditions are met that are necessary to generate a termination of an Ice Age. An Ice Age will not terminate until it has been maturing for many tens of thousands of years leading to a reduction of the atmospheric CO2 concentration to less than 200 ppm. At that point, CO2 starvation coupled with lower temperatures will cause desertification of marginal regions, leading to the generation of large quantities of dust. High winds transfer this dust to the ice sheets greatly increasing their solar absorptivity, and at the next up-lobe in the solar input to high northern latitudes, solar power melts the ice sheets over about a 6,000-year interval. A warm interglacial period follows, during which dust levels drop remarkably. Slowly but surely, ice begins accumulating again at high northern latitudes and an incipient new Ice Age begins. This third edition presents data and models to support this theory
    Type of Medium: 12
    Pages: 1 Online-Ressource (xxiii, 346 Seiten) , Illustrationen, Diagramme, Karten (überwiegend farbig)
    Edition: Tthird edition
    ISBN: 9783030104665 , 978-3-030-10466-5
    URL: https://doi.org/10.1007/978-3-030-10466-5
    Language: English
    Note: Contents 1 History and Description of Ice Ages 1.1 Discovery of Ice Ages 1.2 Description of Ice Sheets 1.3 Vegetation During LGM 1.3.1 LGM Climate 1.3.2 Global Flora 1.3.3 Ice Age Forests 1.4 Vegetation and Dust Generation During the LGM 1.4.1 Introduction: Effect of Low CO2 on Plants 1.4.2 C3 and C4 Flora Differences 1.4.3 Effects of Low CO2 on Tree Lines 1.4.4 Source of the LGM Dust 2 Variability of the Earth’s Climate 2.1 Factors that Influence Global Climate 2.2 Stable Extremes of the Earth’s Climate 2.3 Ice Ages in the Recent Geological Past 3 Ice Core Methodology 3.1 History of Ice Core Research 3.2 Dating Ice Core Data 3.2.1 Introduction 3.2.2 Age Markers 3.2.3 Counting Layers Visually 3.2.4 Layers Determined by Measurement 3.2.5 Ice Flow Modeling 3.2.6 Other Dating Methods 3.2.7 Synchronization of Dating of Ice Cores from Greenland and Antarctica 3.2.8 GISP2 Experience 3.2.9 Tuning 3.2.10 Flimsy Logic 3.3 Processing Ice Core Data 3.3.1 Temperature Estimates from Ice Cores 3.3.2 Temperature Estimates from Borehole Models 3.3.3 Climate Variations 3.3.4 Trapped Gases 4 Ice Core Data 4.1 Greenland Ice Core Historical Temperatures 4.2 Antarctica Ice Core Historical Temperatures 4.2.1 Vostok and EPICA Data 4.2.2 Homogeneity of Antarctic Ice Cores 4.3 North-South Synchrony 4.3.1 Direct Comparison of Greenland and Antarctica Ice Core Records 4.3.2 Sudden Changes 4.3.3 Interpretation of Sudden Change in Terms of Ocean Circulation 4.3.4 Seasonal Variability of Precipitation 4.4 Data from High-Elevation Ice Cores 4.5 Carbon Dioxide 4.5.1 Measurements 4.5.2 Explanations 4.6 Dust in Ice Cores 5 Ocean Sediment Data 5.1 Introduction 5.2 Chronology 5.3 Universality of Ocean Sediment Data 5.4 Summary of Ocean Sediment Ice Volume Data 5.5 Comparison of Ocean Sediment Data with Polar Ice Core Data 5.6 Historical Sea Surface Temperatures 5.7 Ice-Rafted Debris 6 Other Data Sources 6.1 Devil’s Hole 6.1.1 Devil’s Hole Data 6.1.2 Comparison of Devil’s Hole Data with Ocean Sediment Data 6.1.3 Devil’s Hole: Global or Regional Data? 6.1.4 Comparison of Devil’s Hole Data with Vostok Data 6.1.5 The Continuing Controversy 6.2 Speleothems in Caves 6.3 Magnetism in Rocks and Loess 6.3.1 Magnetism in Loess 6.3.2 Rock Magnetism in Lake Sediments 6.4 Pollen Records 6.5 Physical Indicators 6.5.1 Ice Sheet Moraines 6.5.2 Coral Terraces 6.5.3 Mountain Glaciers 6.6 Red Sea Sediments 7 Overview of the Various Models for Ice Ages 7.1 Introduction 7.2 Variability of the Sun 7.3 Astronomical Theory 7.4 Volcanism 7.5 Greenhouse Gases 7.6 Role of the Oceans 7.6.1 Glacial-Interglacial Cycles: The Consensus View 7.6.2 Sudden Climate Change - The Consensus View 7.6.3 Wunsch’s Objections 7.7 Models Based on Clouds 7.7.1 Extraterrestrial Dust Accretion 7.7.2 Clouds Induced by Cosmic Rays 7.7.3 Ocean–Atmosphere Model 7.8 Models Based on the Southern Hemisphere 8 Variability of the Earth’s Orbit: Astronomical Theory 8.1 Introduction 8.2 Variability of the Earth’s Orbit 8.2.1 Variability Within the Orbital Plane 8.2.2 Variability of the Orbital Plane 8.3 Calculation of Solar Intensities 8.4 Importance of Each Orbital Parameter 8.5 Historical Solar Irradiance at Higher Latitudes 8.6 Connection Between Solar Variability and Glaciation/Deglaciation Cycles According to Astronomical Theory 8.6.1 Models for Ice Volume 8.6.2 Review of the Imbries’ Model 8.6.3 Memory Model 8.6.4 Modification of Paillard Model 8.7 Models Based on Eccentricity or Obliquity 8.7.1 A Model Based on Eccentricity 8.7.2 The Middle-Pleistocene Transition (MPT) 9 Comparison of Astronomical Theory with Data 9.1 Ice Volume Versus Solar Input 9.2 Spectral Analysis 9.2.1 Introduction 9.2.2 Spectral Analysis of Solar and Paleoclimate Data 10 Interglacials 11 Terminations of Ice Ages 11.1 Abstract 11.2 Background 11.3 Terminations 11.4 North or South (or Both)? 11.5 Models Based on CO 2 and the Southern Hemisphere 11.6 Climate Models for Terminations of Ice Ages 11.7 Model Based on Solar Amplitudes 11.8 Dust as the Driver for Terminations 11.8.1 Introduction 11.8.2 Antarctic Dust Data 11.8.3 Correlation of Ice Core Dust Data with Terminations 11.8.4 Dust Levels on the Ice Sheets 11.8.5 Optical Properties of Surface Deposited Dust 11.8.6 Source of the Dust 11.8.7 Ice Sheet Margins 11.9 Model Based on Solar Thresholds 11.10 The Milankovitch Model Versus the Most Likely Model 11.10.1 Criteria for a Theory 11.10.2 The “Milankovitch” Model 11.10.3 The Most Likely Model 11.10.4 Unanswered Questions 12 Status of Our Understanding References Index
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  • 9
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    Cold science : environmental knowledge in the North American Arctic during the Cold War (2019)
    London : Routledge
    Details
    Call number: 9781351698757 (e-book)
    Description / Table of Contents: Science during the Cold War has become a matter of lively interest within the historical research community, attracting the attention of scholars concerned with the history of science, the Cold War, and environmental history. The Arctic--recognized as a frontier of confrontation between the superpowers, and consequently central to the Cold War--has also attracted much attention. This edited collection speaks to this dual interest by providing innovative and authoritative analyses of the history of Arctic science during the Cold War.
    Type of Medium: 12
    Pages: 1 Online-Ressource (320 Seiten) , Illustrationen , 24 cm
    ISBN: 9781351698757 (e-book)
    Series Statement: Routledge studies in the history of science, technology and medicine 38
    URL: Fulltext @ Ebook Central (AWI only)
    Language: English
    Note: Table of Contents Introductory perspectives Chapter 1: Introduction: Cold War science in the North American Arctic / by Stephen Bocking, Daniel Heidt Strategic science Chapter 2: Ice and the depths of the ocean: probing Greenland's Melville Bay during the Cold War / by Mark Nuttall Chapter 3: Leadership, cultures, the Cold War and the establishment of Arctic scientific stations: situating the Joint Arctic Weather Stations (JAWS) / by P. Whitney Lackenbauer, Daniel Heidt Chapter 4: Frontier footage: science and colonial attitudes on film in Northern Canada, 1948–1954 / by Matthew S. Wiseman Chapter 5: Portraying America's last frontier: Alaska in the media during the Second World War and the Cold War / by Victoria Herrmann Chapter 6: Making “Man in the Arctic”: academic and military entanglements, 1944–49 / by Matthew Farish Cold War economies Chapter 7: Arctic pipelines and permafrost science: North American rivalries in the shadow of the Cold War, 1968–1982 / by Robert Page Chapter 8: Cold oil: linking strategic and resource science in the Canadian Arctic / by Stephen Bocking Chapter 9: Icebergs in Iowa: Saudi dreams, Antarctic hydrologics and the production of Cold War environmental knowledge / by Rafico Ruiz Chapter 10: Science and Indigenous knowledge in land claims settlements: negotiating the Inuvialuit Final Agreement, 1977–1978 / by Andrew Stuhl Science crossing borders Chapter 11: Knowledge base: polar explorers and the integration of science, security, and US foreign policy in Greenland, from the Great War to the Cold War / by Dawn Alexandrea Berry Chapter 12: Institutions and the changing nature of Arctic research during the early Cold War / by Lize-Marié van der Watt, Peder Roberts, Julia Lajus Chapter 13: Rockets over Thule? American hegemony, ionosphere research and the politics of rockets in the wake of the 1968 Thule B-52 accident / by Henrik Knudsen Chapter 14: Applied science and practical cooperation: Operation Morning Light and the recovery of cosmos 954 in the Northwest Territories, 1978 / by P. Whitney Lackenbauer, Ryan Dean Chapter 15: Melting the ice curtain: indigeneity and the Alaska Siberia Medical Research Program, 1982–1988 / by Tess Lanzarotta Epilogue: global Cold War—the Antarctic and the Arctic Chapter 16: Antarctic science and the Cold War / by Adrian Howkins
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  • 10
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    Explorations and entanglements : Germans in Pacific Worlds from the Early Modern Period to World War I (2019)
    New York : Berghahn
    Details
    Call number: 9781789200294 (e-book)
    Type of Medium: 12
    Pages: 1 Online-Ressource (334 Seiten) , Illustrationen
    ISBN: 9781789200294
    Series Statement: Studies in German history 22
    URL: Fulltext @ Ebook Central (AWI only)
    URL: Table of Contents
    Language: English
    Note: CONTENTS List of Figures and Tables Acknowledgments Introduction: German Histories and Pacific Histories / Ulrike Strasser, Frank Biess, and Hartmut Berghoff Part I. Missionaries, Explorers, and Knowledge Transfer 1. German Apothecaries and Botanists in Early Modern Indonesia, the Philippines, and Japan / Raquel A. G. Reyes 2. A Bohemian Mapmaker in Manila: Travels, Transfers, and Traces between the Pacific Ocean and Germans Lands / Ulrike Strasser 3. German Naturalists in the Pacific around 1800: Entanglement, Autonomy, and a Transnational Culture of Expertise / Andreas W. Daum 4. Georg Wilhelm Steller and Carl Heinrich Merck: German Scientists in Russian Service as Explorers in the North Pacific in the Eighteenth Century / Kristina Küntzel-Witt 5. Johann Reinhold Forster and the Ship Resolution as a Space of Knowledge Production / Anne Mariss 6. Engineering Empire: German Influence on Chinese Industrialization, 1880-1925 / Shellen Wu Part II. Expansion, Entanglements, and Colonialism in the Long Nineteenth Century 7. Expanding the Frontier(s): The Spreckels Family and the German-American Penetration of the Pacific, 1 870-1920 / Uwe Spiekermann 8. Work and Non-work in the "Paradise of the South Sea": Samoa, ca. 1890-1914 195 / Jürgen Schmidt 9. German Women in the South Sea Colonies, 1884-1919 / Livia Rivotti 10. Sacrifice, Heroism, Professionalization, and Empowerment: Colonial New Guinea in the Lives of German Religious Women, 1899-1919 / Katharina Stornig 11. Rape, Indenture, and the Colonial Courts in German New Guinea / Emma Thomas 12. The Trans-Pacific "Ghadar" Movement: The Role of the Pacific in the Indo-German Plot to Overthrow the British Empire during World War I / Douglas T. McGetchin 13. The Vava'u Germans: History and Identity Construction of a Transcultural Community with Tongan and Pomeranian Roots / Reinhard Wendt Epilogue German Histories and Pacific Histories: New Directions / Matt Matsuda Index
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