ALBERT

Note: N.F. entfällt ab 57.2000. - Volltext auch als Teil einer Datenbank verfügbar , Ersch. ab 2000 in engl. Sprache mit dt. Hauptsacht.

Note: Erscheint alle 2 Jahre , Text in deutscher und englischer Sprache

Note: Contents: Preface. - Family Berberidaceae. - Family Menispermaceae. - Family Papaveraceae. - Family Hypecoaceae. - Family Fumariaceae. - Family Brassicaceae, or Cruciferae: Key to Genera. - Genera Macropodium R.Br.--Gorodkovia Botsch. et Karav. - Genera Erysimum L.--Goldbachia DC. - Genera Hesperis L.--Neuroloma Andrz. - Genera Strigosella Boiss.--Microstigma Trautv. - Genera Dontostemon Andrz. ex C.A. Meyer--Dimorphostemon Kitag. - Genera Chorispora R.Br. ex DC.--Galitzkya V. Boczantzeva. - Genera Alyssum L.--Ptilotrichum C.A. Meyer. - Genus Lesquerella S. Watson. - Genera Draba L.--Subularia L. - Family Droseraceae. - Family Crassulaceae. - Family Saxifragaceae. - Family Parnassiaceae. - Family Grossulariaceae. - Maps of Plant Distribution. - Index of Latin Names of Plants.

Note: Contents 1 Introduction 2 Features of the Arctic Seas of Russia and Their Ecosystems 2.1 Brief History of the Studies 2.2 Physical Geography 2.3 Features of Geological Structure and Sedimentation 2.4 Hydrology 2.5 Hydrochemistry 2.5.1 Oxygen 2.5.2 pH 2.5.3 Alkalinity 2.5.4 Nutrients (P, N, and Si) 3 Biological Production of the Arctic Seas of Russia 3.1 Introduction 3.2 Barents Sea 3.3 White Sea 3.4. Kara Sea 3.5. Seas of the East Arctic 4 Particulate Matter and Vertical Carbon Fluxes in the Water–Bottom System 4.1 Introduction 4.2 Barents Sea 4.3 White Sea 4.4 Kara Sea 4.5 Laptev, East Siberian, and Chukchi Seas 4.6 Carbon Fluxes from the Photic Zone to the Seafloor 4.7 Conclusion 5 Horizontal Carbon Fluxes in the Land–Sea System 5.1 Riverine Runoff and Carbon Fluxes 5.1.1 Water Runoff and Particulate Matter Supply 5.1.2 Carbon runoff 5.2 Coastal Abrasion and Carbon Fluxes 5.3 Aerosols and Eolian Carbon Fluxes 5.4 Underground and Glacial Runoff 5.4.1 Underground Runoff 5.4.2 Ice and Glacial Discharge 5.4.3 Interstitial Waters 6 Carbon in the Bottom Sediments 6.1 Introduction 6.2 Brief History of the Studies of Carbon and Organic Matter Composition 6.3 Selected Features of the Polar Lithogenesis 6.4 Organo-Chemical Composition of the Sediments 6.5 Distribution and Accumulation Rate of Carbon in the Bottom Sediments 6.5.1 Contents of TOC and Ccarb in Different Types of the Sediments 6.5.2 Distribution of TOC and its Accumulation Rate in the Bottom Sediments 6.5.3 Distribution of Ccarb and its Accumulation Rates in the Bottom Sediments 7 Elements of Carbon Balance and Cycling in the Arctic Seas of Russia 7.1 Fluxes and Balance of Masses 7.2 Ecological Features of the Arctic Seas and their Influence on Carbon Cycling References Index

Note: Contents: 1 The Arctic Ocean: Boundary Conditions and Background Information. - 1.1 Physiography and Bathymetry of the Arctic Ocean. - 1.2 The Arctic Ocean: Modern Status and Recent Climate Change. - 1.3 The Tectonic Evolution of the Arctic Ocean: Overview and Perspectives. - 1.4 Geochemical Proxies Used for Organic Carbon Source Identification in Arctic Ocean Sediments. - 2 Modern Terrigenous Organic Carbon Input to the Arctic Ocean. - 2.1General Introduction. - 2.2 River Input. - 2.3 Organic Carbon Input to the Artic Seas Through Coastal Erosion. - 2.4 The Role of Arctic Sea Ice in Transporting and Cycling Terrestrial Organic Matter. - 2.5 Aeolian Input. - 2.6 Summary and Concluding Remarks. - 3 Primary and Secondary Production in the Arctic Seas. - 3.1 Introduction. - 3.2 Major Algal Groups and Their Distribution. - 3.3 Limitation and Control of Primary Production 3.4 Primary Production and Growth Rate. - 3.5 Seasonality. - 3.6 Distribution of Primary Production. - 3.7 Mesozooplankton . - 3.8 Primary Production - Impact of Climate Change. - 3.9 Summary and Concluding Remarks . - 4 The Role of Dissolved Organic Matter for the Organic Carbon Cycle in the Arctic Ocean. - 4.1 Introduction. - 4.2 Riverine DOM on Arctic Shelves and Beyond. - 4.3 Distribution, Chemical Composition, and Fluxes of Marine DOM in the Central Arctic Ocean. - 4.4 Summary and Concluding Remarks. - 5 Particulate Organic Carbon Flux to the Arctic Ocean Sea Floor. - 5.1 Introduction 5.2 What do we Know About Vertical Carbon Flux from the Arctic Ocean?. - 5.3 Case Studies. - 5.4 Regional Variability in POC Export Flux in the Arctic Ocean Determined Using 234Th as a Tracer. - 5.5 Particulate Organic Carbon Flux to the Sea floor of the Arctic Ocean: Quantity, Seasonality and Processes. - 5.6 Summary and Concluding Remarks. - 6 The Benthos of Arctic Seas and its Role for the Organic Carbon Cycle at the Seafloor. - 6.1 Introduction. - 6.2 Origin and Evolution of Arctic Habitats and Species. - 6.3 Food Supply of the Arctic Benthos: Sources and Pathways. - 6.4 Benthic Communities of the Arctic Seas. - 6.5 Organic Carbon Utilization by the Arctic Benthos. - 6.6 Summary and Concluding Remarks. - 7 Organic Carbon in Arctic Ocean Sediments: Sources, Variability, Burial, and Paleoenvironmental Significance. - 7.1 Organic Carbon in Arctic Ocean Sediments: A General Introduction. - 7.2 The Beaufort Sea: Distribution, Sources, Fluxes, and Burial Rates of Organic Carbon. - 7.3 The Continental Margin of the North Bering - Chukchi Sea: Distribution, Sources, Fluxes, and Burial Rates of Organic Carbon. - 7.4 The East Siberian Sea: Distribution, Sources, and Burial of Organic Carbon. - 7.5 The Laptev Sea: Distribution, Sources, Variability and Burial of Organic Carbon. - 7.6 The Kara Sea: Distribution, Sources, Variability and Burial of Organic Carbon. - 7.7 The Barents Sea: Distribution, Sources, Variability and Burial of Organic Carbon. - 7.8 Northern Fram Strait und Yermak Plateau: Distribution, Variability and Burial of Organic Carbon and Paleoenvironmental Implications. - 7.9 The Central Arctic Ocean: Distribution, Sources, Variability and Burial of Organic Carbon. - 8 Organic Carbon Budget: Arctic Ocean vs. Global Ocean. - 8.1 Introduction. - 8.2 Global Organic Carbon Fluxes: Sources and Sinks. - 8.3 Arctic Ocean Organic Carbon Fluxes: Sources and Sinks. - 8.4 Summary and Concluding Remarks. - 9 References.

Note: CONTENTS: Preface. - Definitions. - 1 Atmospheric Properties. - 1.1. Atmospheric Structure. - 1.1.1. Atmospheric Layers. - 1.1.2. Convective and Stable Boundary Layers. - 1.1.3. Boundary Layer Theory. - 1.2. Atmospheric Properties. - 1.2.1. Vertical Profiles of Temperature, Pressure and Number Density. - 1.2.2. Tropospheric and Stratospheric Aerosols. - 1.2.3. Particulate Sizes and Distributions. - 1.2.4. Atmospheric Data Sets. - 2 Light Propagation in the Atmosphere. - 2.1. Light Extinction and Transmittance. - 2.2. Total and Directional Elastic Scattering of the Light Beam. - 2.3. Light Scattering by Molecules and Particulates: Inelastic Scattering. - 2.3.1. Index of Refraction. - 2.3.2. Light Scattering by Molecules (Rayleigh Scattering). - 2.3.3. Light Scattering by Particulates (Mie Scattering). - 2.3.4. Monodisperse Scattering Approximation. - 2.3.5. Polydisperse Scattering Systems. - 2.3.6. Inelastic Scattering. - 2.4. Light Absorption by Molecules and Particulates. - 3 Fundamentals of the Lidar Technique. - 3.1. Introduction to the Lidar Technique. - 3.2. Lidar Equation and lts Constituents. - 3.2.1. The Single-Scattering Lidar Equation. - 3.2.2. The Multiple-Scattering Lidar Equation. - 3.3. Elastic Lidar Hardware. - 3.3.1 Typical Lidar Hardware. - 3.4. Practical Lidar lssues. - 3.4.1. Determination of the Overlap Function. - 3.4.2. Optical Filtering. - 3.4.3. Optical Alignment and Scanning. - 3.4.4. The Range Resolution of a Lidar. - 3.5. Eye Safety Issues and Hardware. - 3.5.1. Lidar-Radar Combination. - 3.5.2. Micropulse Lidar. - 3.5.3. Lidars Using Eye-Safe Laser Wavelengths. - 4 Detectors, Digitizers, Electronics. - 4.1. Detectors. - 4.1.1. General Types of Detectors. - 4.1.2. Specific Detector Devices. - 4.1.3. Detector Performance. - 4.1.4. Noise. - 4.1.5. Time Response. - 4.2. Electric Circuits for Optical Detectors. - 4.3. A-D Converters/Digitizers. - 4.3.1. Digitizing the Detector Signal. - 4.3.2. Digitizer Errors. - 4.3.3. Digitizer Use. - 4.4. General. - 4.4.1. Impedance Matching. - 4.4.2. Energy Monitaring Hardware. - 4.4.3. Photon Counting. - 4.4.4. Variable Amplification. - 5 Analytical Solutions of the Lidar Equation. - 5.1. Simple Lidar-Equation Solution for a Homogeneaus Atmosphere: Slope Method. - 5.2. BasicTransformation of the Elastic Lidar Equation. - 5.3. Lidar Equation Solution for a Single-Component Heterogeneaus Atmosphere. - 5.3.1. Boundary Point Solution. - 5.3.2. Optical Depth Solution. - 5.3.3. Solution Based on a Power-Law Relationship Between Backscatter and Extinction. - 5.4. Lidar Equation Solution for a Two-Component Atmosphere. - 5.5. Which Solution is Best?. - 6 Uncertainty Estimation for Lidar Measurements. - 6.1. Uncertainty for the Slope Method. - 6.2. Lidar Measurement Uncertainty in a Two-Component Atmosphere. - 6.2.1. General Formula. - 6.2.2. Boundary Point Solution: Influence of Uncertainty and Location of the Specified Boundary Value on the Uncertainty δkw(r). - 6.2.3. Boundary-Point Solution: lnfl.uence of the Particulate Backscatter-to-Extinction Ratio and the Ratio Between Kp(r) and Km(r) on Measurement Accuracy. - 6.3. Background Constituent in the Original Lidar Signal and Lidar Signal Averaging. - 7 Backscatter-to-Extinction Ratio. - 7.1. Exploration of the Backscatter-to-Extinction Ratios: Brief Review. - 7.2. lnfluence of Uncertainty in the Backscatter-to-Extinction Ratio on the Inversion Result. - 7.3. Problem of a Range-Dependent Backscatter-to-Extinction Ratio. - 7.3.1. Application of the Power-Law Relationship Between Backscattering and Total Scattering in Real Atmospheres: Overview. - 7.3.2. Application of a Range-Dependent Backscatter-to-Extinction Ratio in Two-Layer Atmospheres. - 7.3.3. Lidar Signal Inversion with an Iterative Procedure. - 8 Lidar Examination of Clear and Moderately Turbid Atmospheres. - 8.1. One-Directional Lidar Measurements: Methods and Problems. - 8.1.1. Application of a Particulate-Free Zone Approach. - 8.1.2. Iterative Method to Determine the Location of Clear Zones. - 8.1.3. Two-Boundary-Point and Optical Depth Solutions. - 8.1.4. Combination of the Boundary Point and Optical Depth Solutions. - 8.2. Inversion Techniques for a "Spotted" Atmosphere. - 8.2.1. General Principles of Localization of Atmospheric "Spots". - 8.2.2. Lidar-Inversion Techniques for Monitaring and Mapping Particulate Plumes and Thin Clouds. - 9 Multiangle Methods for Extinction Coefficient Determination. - 9.1. Angle-Dependent Lidar Equation and Its Basic Solution. - 9.2. Solution for the Layer-Integrated Form of the Anglenependent Lidar Equation. - 9.3. Solution for the Two-Angle Layer-Integrated Form of the Lidar Equation. - 9.4. Two-Angle Solution for the Angle-Independent Lidar Equation. - 9.5. High-Altitude Tropospheric Measurements with Lidar. - 9.6. Which Method Is the Best?. - 10 Differential Absorption Lidar Technique (DIAL). - 10.1. DIAL Processing Technique: Fundamentals. - 10.1.1. General Theory. - 10.1.2. Uncertainty of the Backscatter Corrections in Atmospheres with Large Gradients of Aerosol Backscattering. - 10.1.3. Dependence of the DIAL Equation Correction Terms on the Spectral Range Interval Between the On and Off Wavelengths. - 10.2. DIAL Processing Technique: Problems. - 10.2.1. Uncertainty of the DIAL Solution for Column Content of the Ozone Concentration. - 10.2.2. Transition from Integrated to Range-Resolved Ozone Concentration: Problems of Numerical Differentiation and Data Smoothing. - 10.3. Other Techniques for DIAL Data Processing. - 10.3.1. DIAL Nonlinear Approximation Technique for Determining Ozone Concentration Profiles. - 10.3.2. Compensational Three-Wavelength DIAL Technique. - 11 Hardware Solutions to the Inversion Problem. - 11.1. Use of N2 Raman Scattering for Extinction Measurement. - 11.1.1. Method. - 11.1.2. Limitations of the Method. - 11.1.3. Uncertainty. - 11.1.4. Altemate Methods. - 11.1.5. Determination of Water Content in Clouds. - 11.2. Resolution of Particulate and Molecular Scattering by Filtration. - 11.2.1. Background. - 11.2.2. Method. - 11.2.3. Hardware. - 11.2.4. Atomic Absorption Filters. - 11.2.5. Sources of Uncertainty. - 11.3. Multiple-Wavelength Lidars. - 11.3.1. Application of Multiple-Wavelength Lidars for the Extraction of Particulate Optical Parameters. - 11.3.2. Investigation of Particulate Microphysical Parameters with Multiple-Wavelength Lidars. - 11.3.3. Limitations of the Method. - 12 Atmospheric Parameters from Elastic Lidar Data. - 12.1. Visual Range in Horizontal Directions. - 12.1.1. Definition of Terms. - 12.1.2. Standard Instrumentation and Measurement Uncertainties. - 12.1.3. Methods of the Horizontal Visibility Measurement with Lidar. - 12.2. Visual Range in Slant Directions. - 12.2.1. Definition of Terms and the Concept of the Measurement. - 12.2.2. Asymptotic Method in Slant Visibility Measurement. - 12.3. Temperature Measurements. - 12.3.1. Rayleigh Scattering Temperature Technique. - 12.3.2. Metal Ion Differential Absorption. - 12.3.3. Differential Absorption Methods. - 12.3.4. Doppler Broadening of the Rayleigh Spectrum. - 12.3.5. Rotational Raman Scattering. - 12.4. Boundary Layer Height Determination. - 12.4.1. Profile Methods. - 12.4.2. Multidimensional Methods. - 12.5. Cloud Boundary Determination. - 13 Wind Measurement Methods from Elastic Lidar Data. - 13.1. Correlation Methods to Determine Wind Speed and Direction. - 13.1.1. Point Correlation Methods. - 13.1.2. Two-Dimensional Correlation Method. - 13.1.3. Fourier Cerrelation Analysis. - 13.1.4. Three-Dimensional Correlation Method. - 13.1.5. Multiple-Beam Technique. - 13.1.6. Uncertainty in Correlation Methods. - 13.2. Edge Technique. - 13.3. Fringe Imaging Technique. - 13.4. Kinetic Energy, Dissipation Rate, and Divergence. - Bibliography. - Index.

Note: Enthaltener Beitrag: Russian-German cooperation System Laptev Sea : the expedition Lena-Anabar 2003 / edited by Lutz Schirrmeister, Mikhail N. Grigoriev, Lars Kutzbach, Dirk Wagner and Dmitry Yu. Bolshiyanov , Enthaltener Beitrag: The Russian-German TRANSDRIFT IX Expedition of RV "Ivan Kireyev" 2003 / edited by Carolyn Wegner, Jens Hölemann and Vladimir Churun , Contents for "Russian-German cooperation System Laptev Sea : the expedition Lena-Anabar 2003" 1 Introduction 2 Expedition itinerary and general logistics 3 Ecological studies on permafrost soils and landscapes of the central Lena Delta6 3.1 Aims and study area 3.2 Energy and water budget of permafrost soils – long time soil survey station on Samoylov Island 3.3 Micrometeorological measurements of energy, water, and carbon exchange between Arctic tundra and the atmosphere 3.3.1 Introduction 3.3.2 Experimental set-up 3.3.3 The observation period 2003 3.3.3.1 Wind characteristics 3.3.3.2 Meteorological conditions 3.3.3.3 Turbulent fluxes 3.4 Microbial process studies on methane fluxes from permafrost environments 3.4.1 Introduction 3.4.2 Methane emission and microbial methane production 3.4.2.1 Methods and field experiments 3.4.2.2 Preliminary results 3.4.3 Process studies on methane oxidation 3.4.3.1 Introduction and objectives 3.4.3.2 Methods and field experiments 3.4.3.3 Preliminary results 3.4.4 Further investigations 3.5 Studies on recent cryogenesis 3.6 Seasonal progression of active-layer thickness dependent on microrelief 3.6.1 Introduction 3.6.2 Methods 3.6.3 First results 3.7 Air photography and surface classification of Samoylov Island 3.8 Hydrobiological investigations in the Lena Delta in summer 2003 3.8.1 Objectives 3.8.2 Research tasks 3.8.3 Material and methods 3.8.4 Preliminary results 3.9 Appendices Appendix 3-1 Collected variables determined by direct measurements within the micrometeorological campaign Samoylov, 2003 Appendix 3-2 Variables derived from calculations within the micrometeorological campaign Samoylov, 2003 Appendix 3-3 Constants required in calculations Appendix 3-4 List of samples for methane emission and microbial methane production studies Appendix 3-5 List of soil samples for methane oxidation studies 3.10 References 4 Periglacial studies around Cape Mamontov Klyk 4.1 Introduction 4.2 Geological and geographical background 4.3 Geomorphologic route along the Urasalakh River 4.3.1 Structure of Quaternary deposits along the Urasalakh River valley 4.3.2 Geomorphologic structure of the valley 4.3.3 Studies of lakes 4.4 Multi-sensor optical remote sensing of periglacial tundra landscapes 4.4.1 Research aim 4.4.2 Satellite data 4.4.3 General geomorphology in the Lena-Anabar interfluve 4.4.4 Geomorphology in the investigation area near Cape Mamontov Klyk 4.4.5 Field data 4.4.6 Tachymetric survey of periglacial surface features 4.4.7 Characterisation in situ surface properties with a soil probe at a typical elevated Edoma plain 4.5 Methane-related studies on recent tundra soils 4.5.1 Introduction and objectives 4.5.2 Methods 4.5.3 First results 4.6 The coastal section of Cape Mamontov Klyk 4.6.1 General profile 4.6.2 Cryolithological studies of permafrost deposits 4.6.2.1 The first composite profile 4.6.2.2 The second composite profile 4.6.2.3 Additional sampled subprofiles 4.6.3 Ice wedges of Cape Mamontov Klyk 4.6.3.1 Introduction 4.6.3.2 The ice wedges in the lower sands (Unit A) and in the sand-peat-complex (Unit B) 4.6.3.3 Ice wedges of the Late Pleistocene Ice Complex (Unit C) and of Holocene deposits (Unit D) 4.6.3.4 Ground ice of unknown origin 4.6.3.5 Ice wedge section west of the Nuchcha Dzhiele River mouth 4.6.3.6 General interpretation of the sampled profile 4.6.4 Geomicrobiological studies 4.6.4.1Introduction and objectives 4.6.4.2 Methods 4.6.4.3 First results: Methane content of permafrost samples 4.6.5 Paleontological studies 4.7 Studies of coastal dynamics and sub sea permafrost 4.7.1 Preliminary results of sub-sea permafrost drilling in the near-shore zone (spring 2003) 4.7.1.1 Introduction and background 4.7.1.2 Methods and preliminary results 4.7.1.3 Further investigations 4.7.2 Measurements of the coast relief in the area of Cape Mamontov Klyk and ice and sediment sampling 4.7.2.1 Introduction 4.7.2.2 Methods 4.7.2.3 Preliminary results 4.7.2.4 Further investigations 4.7.3 Shore face profiles in the area of Cape Mamontov Klyk: echo sounding, seawater and sea bottom deposits sampling 4.7.3.1 Introduction 4.7.3.2 Methods 4.7.3.3 Preliminary results 4.7.3.4 Further investigations 4.8 References 4.9 Appendices Appendix 4-1. Surface parameters for the studied geolocated sites around Cape Mamontov Klyk Appendix 4-2. Active layer data of the geo-located sites Appendix 4-3. List of soil samples (active layer); collected in the coastal lowland Appendix 4-4. List of permafrost sediment and paleosol samples for microbiological, molecular biological and biochemical analyses Appendix 4-5. List of sediment samples Appendix 4-6. List of ice and water samples Appendix 4-7. Collection of bone samples , Content for "The Russian-German TRANSDRIFT IX Expedition of RV "Ivan Kireyev" 2003" 1. Process Studies on Permafrost Dynamics in the Laptev Sea – An Introduction 2. The TRANSDRIFT IX Expedition: Process studies on submarine permafrost dynamics in the Laptev Sea 3. Motivation: Deployment of two seafloor observatories 4. Recent stability factors of submarine permafrost 4.1 Working program 4.2 Preliminary results 5. Hydrochemical structure of the water column 5.1 Working program 6. Diversity of nitrifying bacteria in submarine permafrost 6.1 Working program 6.2 Preliminary Results 7. Appendix: Station list of the TRANSDRIFT IX (IK03) expedition 8. References

Note: Contents: Foreword. - Acknowledgements. - List of abbreviations. - List of variables. - 1 Historical overview of numerical weather prediction. - 1.1 Introduction. - 1.2 Early developments. - 1.3 Primitive equations, global and regional models, and nonhydrostatic models. - 1.4 Data assimilation: determination of the initial conditions for the computer forecasts. - 1.5 Operational NWP and the evolution of forecast skill. - 1.6 Nonhydrostatic mesoscale models. - 1.7 Weather predictability, ensemble forecasting, and seasonal to interannual prediction. - 1.8 The future. - 2 The continuous equations. - 2.1 Governing equations. - 2.2 Atmospheric equations of motion on spherical coordinates. - 2.3 Basic wave oscillations in the atmosphere. - 2.4 Filtering approximations. - 2.5 Shallow water equations, quasi-geostrophic filtering, and filtering of inertia-gravity waves. - 2.6 Primitive equations and vertical coordinates. - 3. Numerical discretization of the equations of motion. - 3.1 Classification of partial differential equations (PDEs). - 3.2 Initial value problems: numerical solution. - 3.3 Space discretization methods. - 3.4 Boundary value problems. - 3.5 Lateral boundary conditions for regional models. - 4 Introduction to the parameterization of subgrid-scale physical processes. - 4.1 Introduction. - 4.2 Subgrid-scale processes and Reynolds averaging. - 4.3 Overview of model parameterizations. - 5 Data assimilation. - 5.1 Introduction. - 5.2 Empirical analysis schemes. - 5.3 Introduction to least squares methods. - 5.4 Multivariate statistical data assimilation methods. - 5.5 3D-Var, the physical space analysis scheme (PSAS), and their relation to OI. - 5.6 Advanced data assimilation methods with evolving forecast error covariance. - 5.7 Dynamical and physical balance in the initial conditions. - 5.8 Quality control of observations. - 6 Atmospheric predictability and ensemble forecasting. - 6.1 Introduction to atmospheric predictability. - 6.2 Brief review of fundamental concepts about chaotic systems. - 6.3 Tangent linear model, ad joint model, singular vectors, and Lyapunov vectors. - 6.4 Ensemble forecasting: early studies. - 6.5 Operational ensemble forecasting methods. - 6.6 Growth rate errors and the limit of predictability in mid-latitudes and in the tropics. - 6.7 The role of the oceans and land in monthly, seasonal, and interannual predictability. - 6.8 Decadal variability and climate change. - Appendix A The early history of NWP. - Appcndix B Coding and checking the tangent linear and the adjoint models. - Appendix C Post-processing of numerical model output to obtain station weather forecasts. - References. - Index.

Note: Beiträge teilweise englisch, teilweise russisch , Überwiegend kyrillische Schrift

Note: Contents (I) Motivation and Methods (A) The Antarctic Ice Sheet and its Role in the Global System (A.1) Main Geographic and Glaciologic Provinces of Antarctica (A.2) Climatic Change, Sea-Level Rise,and Changes in the Cryosphere (A.3) Modeling Versus Measuring B) Satellite Remote Sensing (B.1) An Overview of Ice Sheet Observations by Satellite (B.2) Satellite Radar Altimetry (B.2.1) Satellite Missions with Radar Altimeter Observations (B.2.1.1) SEASAT (B.2.1.2) GEOSAT (B.2.1.3) ERS-1 and ERS-2 (B.2.1.4) Other Missions with Altimeters, and Related Missions (B.2.2) Mission Types: Exact Repeat Missions and Geodetic Missions (B.2.3) Radar Measurement Principles (B.3) Analysis of Satellite Radar Altimeter Data over Ice Sheets and Glaciers (B.3.1) Problems and Methods of Mapping Ice Surface Elevation (B.3.2) Derivation of Ice Surface Roughness and Morphology (C) Data Analysis Methods Applied in the Antarctic Atlas (C.0) Introduction (C.1) Corrections of Radar Altimeter Data (C.1.1) Corrections Applied to Satellite Radar Altimeter Data for Ice Surface Mapping (C.1.2) The Bad-Track Problem (C.1.3) The Need for Interpolation of Geophysical Line Survey Data (C.2) Map Projection and Atlas Mapping (C.2.1) The UTM Projection (C.2.2) The Atlas Mapping Problem (C.2.3) The Solution: The Antarctic Atlas Mapping Scheme (C.2.4) Map Sheet Calculation with TRANSVIEW (C.3) Geostatistical Estimation (C.3.1) Concept of the Regionalized Variable and Principles of Variography (C.3.2) Kriging (C.3.3) Variography for Satellite Radar Altimeter Data over Antarctic Ice Surfaces (C.3.4) Application: Search Algorithm and Kriging Parameters for Antarctic Atlas DTMs. Mapping Parameters (C.3.4.1) Search Routine for Geophysical Line Survey Data and Software (C.3.4.2) Grid Spacing (C.3.4.3) Mapping Parameters: Contouring and Coloring Scheme (C.3.5) Error Analysis (C.3.6) Influence of the Radar Altimeter Sensor Compared to Influence of the Variogramin Kriging for GEOSAT and ERS-1 Data (C.4) The Role of the Geodetic Reference Surface (C.4.1) Ellipsoid and Geoid Concepts (C.4.2) Mapping of Ice Surfaces with Reference to Geoid Models (II) The Atlas (D) Atlas Maps (D.0) Map Organization and Description Principles (D.1) Latitude Row 63-68°S: Maps from GEOSAT and ERS-1 Radar Altimeter Data Map m45e37-53n63-68 Casey Bay Map m57e49-65n63-68 Napier Mountains Map m69e61-77n63-68 Mawson Coast East Map m81e73-89n63-68 Leopold and Astrid Coast Map m93e85-101n63-68 Queen Mary Coast Map m105e97-113n63-68 Knox Coast Map m117e109-125n63-68 Sabrina Coast Map m129e121-137n63-68 Clarie Coast Map m141e133-149n63-68 Adélie Coast Map m153e145-161n63-68 Ninnis Glacier Tongue Map m297e289-305n63-68 Antarctic Peninsula (Graham Land) (D.2) Latitude Row 67-72.1°S: Maps from GEOSAT and ERS-1 Radar Altimeter Data Map m15we23W-7Wn67-721 Ekström Ice Shelf Map m3we11w-5n67-721 Fimbul Ice Shelf Map m9e1-17n67-721 Princess Astrid Coast Map m21e13-29n67-721 Erskine Iceport Map m33e25-41n67-721 Riiser-Larsen Peninsula Map m45e37-53n67-721 Prince Olav Coast Map m57e49-65n67-721 Kemp Coast Map m69e61-77n67-721 Lambert Glacier Map m81e73-89n67-721 Ingrid Christensen Coast Map m93e85-101n67-721 Wilkes Land (e85-101n67-721) Map m105e97-113n67-721 Wilkes Land (e97-113n67-721) Map m117e109-125n67-721 Wilkes Land (e109-125n67-721) Map m129e121-137n67-721 Wilkes Land (e121-137n67-721) Map m141e133-149n67-721 Wilkes Land (e133-149n67-721) Map m153e145-161n67-721 Cook Ice Shelf Map m165e157-173n67-721 Pennell Coast Map m292e284-300n67-721 Antarctic Peninsula (Palmer Land) (D.3) Latitude Row 71-77°S: Maps from ERS-1 Radar Altimeter Data Map m333e315-351n71-77 Riiser-Larsen Ice Shelf Map m357e339-15n71-77 New Schwabenland Map m21e3-39n71-77 Sør Rondane Mountains Map m45e27-63n71-77 Belgica Mountains Map m69e51-87n71-77 Upper Lambert Glacier Map m93e75-111n71-77 American Highland Map m117e99-135n71-77 Dome Charlie Map m141e123-159n71-77 Southern Wilkes Land (e123-159) Map m165e147-183n71-77 Victoria Land Map m213e195-231n71-77 Ruppert Coast Map m237e219-255n71-77 Bakutis Coast Map m261e243-279n71-77 Walgreen Coast Map m285e267-303n71-77 Ellsworth Land Map m309e291-327n71-77 Black Coast (D.4) Latitude Row 75-80°S: Maps from ERS-1 Radar Altimeter Data Map m333e315-351n75-80 Coats Land Map m357e339-15n75-80 Western Queen Maud Land (North) Map m21e3-39n75-80 Central Queen Maud Land (North) Map m45e27-63n75-80 Valkyrie Dome Map m69e51-87n75-80 South of Lambert Glacier Map m93e75-111n75-80 East Antarctica (Sovetskaya) Map m117e99-135n75-80 East Antarctica (Vostok) Map m141e123-159n75-80 East Antarctica (Mt. Longhurst) Map m165e147-183n75-80 Scott Coast Map m189e171-207n75-80 Roosevelt Island Map m213e195-231n75-80 Saunders Coast Map m237e219-255n75-80 Northern Marie Byrd Land Map m261e243-279n75-80 Northern Hollick-Kenyon Plateau Map m285e267-303n75-80 Zumberge Coast Map m309e291-327n75-80 Ronne Ice Shelf (D.5) Latitude Row 78-81.5°S: Maps from ERS-1 Radar Altimeter Data Map m333e315-351n78-815 Filchner Ice Shelf Map m357e339-15n78-815 Western Queen Maud Land (South) Map m21e3-39n78-815 Central Queen Maud Land (South) Map m45e27-63n78-815 Eastern Queen Maud Land (South) Map m69e51-87n78-815 Dome Argus Map m93e75-111n78-815 East Antarctica (e75-111n78-815) Map m117e99-135n78-815 EastAntarctica (e99-135n78-815) Map m141e123-159n78-815 Byrd Glacier Map m165e147-183n78-815 Hillary Coast Map m189e171-207n78-815 Ross Ice Shelf Map m213e195-231n78-815 Shirase Coast Map m237e219-255n78-815 Southern Marie Byrd Land Map m261e243-279n78-815 Southern Hollick-Kenyon Plateau Map m285e267-303n78-815 Ellsworth Mountains Map m309e291-327n78-815 Berkner Island (III) Applications (E) Monitoring Changes in Antarctic Ice SurfaceTopography: The Example of the Lambert Glacier/Amery Ice Shelf System (E.1) The Problem of Monitoring Changes (E.2) Time Series of Digital Terrain Models and Maps (E.3) Altimeter Data: Acquisition and Corrections (E.4) Visual Comparison - Quantitative Comparison (E.5) Calculation of Elevation Changes (E.6) Discussion of Results on Elevation Changes (E.6.1) Results of the Monitoring Study (E.6.2) Comparison with Other Maps of Lambert Glacier/Amery Ice Shelf (E.7) On the Potential Existence of Surge Glaciers in the Lambert Glacier/Amery Ice Shelf System (E.7.1) Introduction to the Surge Phenomenon and Relationship to Results of the Monitoring Study (E.7.2) Discussion of the Surge Hypothesis in the Glaciologic Literature (F) Detailed Studies of Selected Antarctic Outlet Glaciers and Ice Shelves (F.0) Introduction (F.1) Detail Map 1: Slessor Glacier (ERS-1 Data 1995) (F.2) Detail Map 2: Stancomb-Wills Glacier (ERS-1 Data 1995) (F.3) Detail Map 3: Jutulstraumen Glacier (ERS-1 Data 1995) (F.4) Detail Map 4: Shirase Glacier (ERS-1 Data 1995) (F.5) Detail Map 5: Lambert Glacier (ERS-1 Data 1995) (F.6) Detail Map 6: West Ice Shelf (ERS-1 Data 1995) (F.7) Detail Map 7: Denman Glacier (ERS-1 Data 1995) (F.8) Detail Map 8: Vanderford Glacier (ERS-1 Data 1995) (F.9) Detail Map 9: Totten Glacier (ERS-1 Data 1995) (F.10) Detail Maps 10: Mertz Glacier,11: Ninnis Glacier, and 12: Mertz and Ninnis Glaciers (GEOSAT Data 1985-86) (F.11) Detail Map 13: Rennick Glacier (ERS-1 Data 1995) (F.12) Detail Map 14: David Glacier/Drygalski Ice Tongue (ERS-1 Data 1995) (F.13) Detail Map15: Thwaites Glacier (ERS-1 Data 1995) (F.14) Detail Map 16: PineIsland Glacier (ERS-1 Data 1995) (G) Combination of SAR and Radar Altimeter Data: Lambert Glacier/Amery Ice Shelf (IV) References and Appendix (H) References (I) Appendix (I.1)Glaciological Glossary (I.2) Index of Place Names (I.3) Antarctic Expeditions (I.3.1) Early Seagoing Expeditions (I.3.2) Expeditions to the Antarctic Continent (I.3.3) Antarctic Expeditions after the International Geophysical Year