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  • 1
    Call number: M 93.0544
    In: Nuclear Physics B , Proceedings Supplement
    Type of Medium: Monograph available for loan
    Pages: xvi, 499 S.
    ISSN: 0920-5632
    Series Statement: Nuclear Physics B , Proceedings Supplement 31
    Classification:
    Astronomy and Astrophysics
    Language: English
    Location: Upper compact magazine
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  • 2
    Monograph available for loan
    Monograph available for loan
    Amsterdam : Elsevier
    Call number: AWI G2-18-91738
    Type of Medium: Monograph available for loan
    Pages: XI, 716 Seiten , Illustrationen
    Edition: third edition
    ISBN: 9780123877826
    Language: English
    Note: Contents: Preface. - Acknowledgments. - 1. Data Acquisition and Recording. - 1.1 Introduction. - 1.2 Basic Sampling Requirements. - 1.3 Temperature. - 1.4 Salinity. - 1.5 Depth or Pressure. - 1.6 Sea-Level Measurement. - 1.7 Eulerian Currents. - 1.8 Lagrangian Current Measurements. - 1.9 Wind. - 1.10 Precipitation. - 1.11 Chemical Tracers. - 1.12 Transient Chemical Tracers. - 2. Data Processing and Presentation. - 2.1 Introduction. - 2.2 Calibration. - 2.3 Interpolation. - 2.4 Data Presentation. - 3. Statistical Methods and Error Handling. - 3.1 Introduction. - 3.2 Sample Distributions. - 3.3 Probability. - 3.4 Moments and Expected Values. - 3.5 Common PDFs. - 3.6 Central Limit Theorem. - 3.7 Estimation. - 3.8 Confidence Intervals. - 3.9 Selecting the Sample Size. - 3.10 Confidence Intervals for Altimeter-Bias Estimates. - 3.11 Estimation Methods. - 3.12 Linear Estimation (Regression). - 3.13 Relationship between Regression and Correlation. - 3.14 Hypothesis Testing. - 3.15 Effective Degrees of Freedom. - 3.16 Editing and Despiking Techniques: The Nature of Errors. - 3.17 Interpolation: Filling the Data Gaps. - 3.18 Covariance and the Covariance Matrix. - 3.19 The Bootstrap and Jackknife Methods. - 4. The Spatial Analyses of Data Fields. - 4.1 Traditional Block and Bulk Averaging. - 4.2 Objective Analysis. - 4.3 Kriging. - 4.4 Empirical Orrhogonal Functions. - 4.5 Extended Empirical Orrhogonal Functions. - 4.6 Cyclostationary EOFs. - 4.7 Factor Analysis. - 4.8 Normal Mode Analysis. - 4.9 Self Organizing Maps. - 4.10 Kalman Filters. - 4.11 Mixed Layer Depth Estimation. - 4.12 Inverse Methods. - 5. Time Series Analysis Methods. - 5.1 Basic Concepts. - 5.2 Stochastic Processes and Stationarity. - 5.3 Correlation Functions. - 5.4 Spectral Analysis. - 5.5 Spectral Analysis (Parametric Methods). - 5.6 Cross-Spectral Analysis. - 5.7 Wavelet Analysis. - 5.8 Fourier Analysis. - 5.9 Harmonic Analysis. - 5.10 Regime Shift Detection. - 5.11 Vector Regression. - 5.12 Fractals. - 6. Digital Filters. - 6.1 Introduction. - 6.2 Basic Concepts. - 6.3 Ideal Filters. - 6.4 Design of Oceanographic Filters. - 6.5 Running-Mean Filters. - 6.6 Godin-Type Filters. - 6.7 Lanczos-window Cosine Filters. - 6.8 Butterworth Filters. - 6.9 Kaiser-Bessel Filters. - 6.10 Frequency-Domain (Transform) Filtering. - References. - Appendix A: Units in Physical Oceanography. - Appendix B: Glossary of Statistical Terminology. - Appendix C: Means, Variances and Moment,Generating Functions for Some Common Continuous Variables. - Appendix D: Statistical Tables. - Appendix E: Correlation Coefficients at the 5% and 1% Levels of Significance for Various Degrees of Freedom v. - Appendix F: Approximations and Nondimensional Numbers in Physical Oceanography. - Appendix G: Convolution. - Index.
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  • 3
    Call number: PIK N 456-18-91895 ; AWI A5-18-91895
    Type of Medium: Monograph available for loan
    Pages: xv, 569 Seiten , Illustrationen, Diagramme, Karten
    ISBN: 9780128117149
    Language: English
    Note: Contents: Contributors. - Preface. - Acknowledgements. - PART I SETTING THE SCENE. - 1. Introduction: Why Sub-seasonal to Seasonal Prediction (S2S)? / Frédéric Vitart, Andrew W. Robertson. - 1 History of Numerical Weather and Climate Forecasting. - 2 Sub-seasonal to Seasonal Forecasting. - 3 Recent National and International Efforts on Sub-seasonal to Seasonal Prediction. - 4 Structure of This Book. - 2. Weather Forecasting: What Sets the Forecast Skill Horizon? / Zoltan Toth, Roberto Buizza. - 1 Introduction. - 2 The Basics of Numerical Weather Prediction. - 3 The Evolution of NWP Technique. - 4 Enhancement of Predictable signals. - 5 Ensemble Techniques: Brief Introduction. - 6 Expanding the forecast skill Horizon. - 7 Concludmg Remarks: Lessons for S2S Forecasting. - Acknowledgements. - 3. Weather Within Climate: Sub-seasonal Predictability of Tropical Daily Rainfall Characteristics / Vincent Moron, Andrew W. Robertson, Lei Wang. - 1 Introduction. - 2 Data and Methods. - 3 Results. - 4 Discussion and Concluding Remarks. - 4. Identifying Wave Processes Associated With Predictability Across Time Scales: An Empirical Normal Mode Approach / Gilbert Brunet, John Methven. - 1 Introduction. - 2 Partitioning Atmospheric Behavior Using Its Conservation Properties. - 3 The ENM Approach to Observed Data and Models and Its Relevance to S2S Dynamics and Predictability. - 4 Conclusion. - Acknowledgments. - PART II SOURCES OF S2S PREDICTABILITY. - 5. The Madden-Julian Oscillation / Steven J. Woolnough. - 1 Introduction. - 2 The Real-Time Multivariate MJO Index. - 3 Observed MJO Structure. - 4 The Relationship Between the MJO and Tropical and Extratropical Weather. - 5 Theories and Mechanisms for MJO Initiation, Maintenance, and Propagation. - 6 The Representation of the MJO in Weather and Climate Models. - 7 MJO Prediction. - 8 Future Priorities for MJO Research for S2S Prediction. - Acknowledgments. - 6. Extratropical Sub-seasonal to Seasonal Oscillations and Multiple Regimes: The Dynamical Systems View / Michael Ghil, Andreas Groth, Dmitri Kondrashov, Andrew W. Robertson. - 1 Introduction and Motivation. - 2 Multiple Midlatitude Regimes and Low-Frequency Oscillations. - 3 Extratropical Oscillations in the S2S Band. - 4 Low-Order, Data-Driven Modeling, Dynamical Analysis, and Prediction. - 5 Concluding Remarks. - Acknowledgments. - 7. Tropical-Extratropical Interactions and Teleconnections / Hai Lin, Jorgen Frederiksen, David Straus, Christiana Stan. - 1 Introduction. - 2 Tropical Influence on the Extratropical Atmosphere. - 3 Extratropical Influence on the Tropics. - 4 Tropical-Extratropical, Two-Way Interactions. - 5 Summary and Discussion. - Appendix. Technical Matters Relating to Section 4.2. - 8. Land Surface Processes Relevant to Sub-seasonal to Seasonal (S2S) Prediction / Paul A. Dirmeyer, Pierre Gentine, Michael B. Ek, Gianpaolo Balsamo. - 1 Introduction. - 2 Process of Land-Atmosphere Interaction. - 3 A Brief History of Land-Surface Models. - 4 Predictability and Prediction. - 5 Improving Land-Driven Prediction. - 9. Midlatitude Mesoscale Ocean-Atmosphere Interaction and Its Relevance to S2S Prediction / R. Saravanan, P. Chang. - 1 Introduction. - 2 Data and Models. - 3 Mesoscale Ocean-Atmosphere Interaction in the Atmospheric Boundary Layer. - 4 Local Tropospheric Response. - 5 Remote Tropospheric Response. - 6 Impact on Ocean Circulation. - 7 Implications for S2S Prediction. - 8 Summary and Conclusions. - Acknowledgments. - 10. The Role of Sea Ice in Sub-seasonal Predictability / Matthieu Chevallier, François Massonnet, Helge Goessling, Virginie Guémas, Thomas Jung. - 1 Introduction. - 2 Sea Ice in the Coupled Atmosphere-Ocean System. - 3 Sea Ice Distribution, Seasonality, and Variability. - 4 Sources of Sea Ice Predictability at the Sub-seasonal to Seasonal Timescale. - 5 Sea Ice Sub-seasonal to Seasonal - Predictability and Prediction Skill in Models. - 6 Impact of Sea Ice on Sub-seasonal Predictability. - 7 Concluding Remarks. - Acknowledgments. - 11. Sub-seasonal Predictability and the Stratosphere / Amy Butler, Andrew Charlton-Perez, Daniela I. V. Domeisen, Chaim Garfinkel, Edwin P. Gerber, Peter Hitchcock, Alexey Yu. Karpechko, Amanda C. Maycock, Michael Sigmond, Isla Simpson, Seok-Woo Son. - 1 Introduction. - 2 Stratosphere-Troposphere Coup ling in the Tropics. - 3 Stratosphere-Troposphere Coupling in the Extratropics. - 4 Predictability Related to Extratropical Stratosphere-Troposphere Coupling. - 5 Summary and Outlook. - PART Ill S2S MODELING AND FORECASTING. - 12. Forecast System Design, Configuration, and Complexity / Yuhei Takaya. - 1 Introduction. - 2 Requirements and Constraints of the Operational Sub-seasonal Forecast. - 3 Effect of Ensemble Size and Lagged Ensemble. - 4 Real-Time Forecast Configuration. - 5 Reforecast Configuration. - 6 Summary and Concluding Remarks. - Acknowledgments. - 13. Ensemble Generation: The TIGGE and S2S Ensembles / Roberto Buizza. - 1 Global Sub-seasonal and Seasonal Prediction Is an Initial Value Problem. - 2 Ensembles Provide More Complete and Valuable Information Than Single States. - 3 A Brief Introduction to Data Assimilation. - 4 A Brief Introduction to Model Uncertainty Simulation. - 5 An Overview of Operational, Global, Sub-seasonal, and Seasonal Ensembles, and Their Initialization and Generation Methods. - 6 Ensembles: Considerations About Their Future. - 7 Summary and Key Lessons. - 14. GCMs With Full Representation of Cloud Microphysics and Their MJO Simulations / In-Sik Kang, Min-Seop Ahn, Hiroaki Miura, Aneesh Subramanian. - 1 Introduction. - 2 Global CRM. - 3 Superparameterized GCM. - 4 GCM With Full Representation of Cloud Microphysics and Scale-Adaptive Convection. - 5 Summary and Conclusion. - Acknowledgments. - 15. Forecast Recalibration and Multimodel Combination / Stefan Siegert, David B. Stephenson. - 1 Introduction. - 2 Statistical Methods for Forecast Recalibration. - 3 Regression Methods. - 4 Forecast Combination. - 5 Concluding Remarks. - Acknowledgments. - 16. Forecast Verification for S2S Timescales / Caio A. S. Coelho, Barbara Brown, Laurie Wilson, Marion Mittermaier, Barbara Casati. - 1 Introduction. - 2 Factors Affecting the Design of Verification Studies. - 3 Observational References. - 4 Review of the Most Common Verification Measures. - 5 Types of S2S Forecasts and Current Verification Practices. - 6 Summary, Challenges, and Recommendations in S2S Verification. - PART IV S2S APPLICATIONS. - 17. Sub-seasonal to Seasonal Prediction of Weather Extremes / Frédérik Vitart, Christopher Cunningham, Michael Deflorio, Emanuel Dutra, Laura Ferranti, Brian Golding, Debra Hudson, Charles Jones, Christophe Lavaysse, Joanne Robbins, Michael K. Tippett. - 1 Introduction. - 2 Prediction of Large-Scale, Long-Lasting Extreme Events. - 3 Prediction of Mesoscale Events. - 4 Display and Verification of Sub-seasonal Forecasts of Extreme Events. - 5 Conclusions. - 18. Pilot Experiences in Using Seamless Forecasts for Early Action: The "Ready-Set-Go!" Approach in the Red Cross / Juan Bazo, Roop Singh, Mathieu Destrooper, Erin Coughlan de Perez. - 1 Introduction. - 2 Why Sub-seasonal?. - 3 Case Study: Peru El Niño. - 4 Reflections on the Use of S2S Forecasts. - 5 Conclusions. - 19. Communication and Dissemination of Forecasts and Engaging User Communities / Joanne Robbins, Christopher Cunningham, Rutger Dankers, Matthew Degennaro, Giovanni Dolif, Robyn Duell, Victor Marchezini, Brian Mills, Juan Pablo Sarmiento, Amber Silver, Rachel Trajber, Andrew Watkins. - 1 Introduction. - 2 Sector-Specific Methods and Practices in S2S Forecast Communication, Dissemination, and Engagement. - 3 Guiding principles for improved communication Practices. - 4 Summary and Recommendations for Future Research. - 20. Seamless Prediction of Monsoon Onset and Active/Break Phases / A.
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  • 4
    Monograph available for loan
    Monograph available for loan
    Amsterdam : Elsevier
    Associated volumes
    Call number: 9454
    In: Developments in solid earth geophysics
    Type of Medium: Monograph available for loan
    Pages: 563 Seiten
    ISBN: 0444412220
    Series Statement: Developments in solid earth geophysics 7
    Language: English
    Location: Upper compact magazine
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  • 5
    Call number: M 96.0441 ; AWI G6-92-0439
    In: Developments in sedimentology, 48
    Type of Medium: Monograph available for loan
    Pages: xvi, 707 Seiten , Illustrationen
    ISBN: 0444873910
    Series Statement: Developments in sedimentology 48
    Classification:
    Geochemistry
    Language: English
    Note: TABLE OF CONTENTS Preface Chapter 1. The CO2-Carbonic Acid System and Solution Chemistry Basic Concepts Activity Coefficients in Solutions Influences of Temperature and Pressure The Carbonic Acid System in Seawater Calculation of the Saturation State of Seawater with Respect to Carbonate Minerals Concluding Remarks Chapter 2. Interactions Between Carbonate Minerals and Solutions Sedimentary Carbonate Minerals Basic Concepts Characteristics of Sedimentary Carbonate Minerals Solubility Behavior of Carbonate Minerals General Considerations Calcite and Aragonite Solubility Methods for the Calculation of Equilibrium Solution Composition Under Different Conditions Surface Chemistry of Carbonate Minerals Basic Principles Adsorption of Ions on Carbonate Surfaces Carbonate Dissolution and Precipitation Kinetics Basic Principles Reaction Kinetics in Simple Solutions Reaction Kinetics in Complex Solutions Concluding Remarks Chapter 3. Coprecipitation Reactions and Solid Solutions of Carbonate Minerals General Concepts Background Information Basic Chemical Considerations Coprecipitation of "Foreign" Ions in Carbonate Minerals Examples of Coprecipitation Reactions General Models for Partition Coefficients in Carbonates Magnesian Calcite General Considerations The Fundamental Problems Experimental Observations Hypothesis of a Hydrated Magnesian Calcite Stable Isotope Chemistry General Considerations Oxygen Isotopes Carbon Stable Isotopes Concluding Remarks Chapter 4. The Oceanic Carbonate System and Calcium Carbonate Accumulation in Deep Sea Sediments An Overview of Major Processes The CO2 System in Oceanic Waters The Upper Ocean The Deep Sea Saturation State of Deep Seawater with Respect to CaCO3 Sources and Sedimentation of Deep Sea Carbonates Sources Sedimentation The Distribution of CaCO3 in Deep Sea Sediments and Carbonate Lithofacies General Considerations The Distribution of CaCO3 in Surface Sediments Factors Controlling the Accumulation of Calcium Carbonate in Deep Sea Sediments General Relations Factors Leading to Variability Near Interfacial Processes Variability of Calcium Carbonate Deposition in Deep Sea Sediments with Time Influence of Glacial Times The Impact of Fossil Fuel CO2 on the Ocean-Carbonate System Concluding Remarks Chapter 5. Composition and Source of Shoal-Water Carbonate Sediments Introduction Shoal-Water Carbonates in Space and Time Carbonate Grains and Skeletal Parts Overview and Examples Sediment Classification Depositional Environments Concluding Statement Biomineralization General Aspects Environmental Controls on Mineralogy Stable Isotopes Coprecipitation Precipitation of Carbonates from Seawater Carbonate Chemistry of Shallow Seawater Abiotic Precipitation of CaCO3 from Seawater Sources of Aragonite Needle Muds Formation of Oöids Concluding Remarks 238 Chapter 6. Early Marine Diagenesis of Shoal-Water Carbonate Sediments Introduction Some Preliminary Thermodynamic and Kinetic Considerations Very Early Diagenesis Major Diagenetic Processes Pore Water Chemistry Precipitation of Early Carbonate Cements Dissolution of Carbonates Concluding Remarks Chapter 7. Early Non-Marine Diagenesis of Sedimentary Carbonates Introduction Plate-Tectonic Controls on Diagenesis General Considerations for Early Non-Marine Diagenesis Major Types of Non-Marine Environments Water Chemistry Reactivity of Sedimentary Carbonates Major Phase Transformations The Transformation of Aragonite to Calcite Dolomite Formation Summary Remarks Mass Transfer During Diagenesis General Considerations Geochemical Constraints on Mass Transfer Beachrock Formation Lithification in the Meteoric Environment Introduction The Meteoric Environment and Cement Precipitates Bermuda: A Case Study of a Meteoric Diagenetic Environment Introduction Geological Framework Limestone Chemistry and Isotopic Composition Water Chemistry Carbonate Mass Transfer A Brief Synthesis of Meteoric Diagenesis Diagenetic Stages Effect of Original Mineralogy Climatic Effects Rock-Water Relationships Mixed Meteoric-Marine Regime Concluding Remarks Chapter 8. Carbonates as Sedimentary Rocks in Subsurface Processes Introduction P,T, and X and Carbonate Mineral Stability Subsurface Water Chemistry in Sedimentary Basins Continuous Processes Pressure Solution Dolomitization Mud to Spar Neomorphism Secondary Porosity Cementation in the Subsurface Examples of "Models" of Long-Term Diagenesis The Present Ocean Setting The Present Continental Setting Concluding Remarks Chapter 9. The Current Carbon Cycle and Human Impact Introduction Modern Biogeochemical Cycle of Carbon A Model for the Cycle of Carbon Methane and Carbon Monoxide Fluxes CO2 Fluxes Human Impact on Carbon Fluxes The Fossil Fuel and Land Use Fluxes Observed Atmospheric CO2 Concentration Increase Future'Atmospheric CO2 Concentration Trends Consequences of Increased Atmospheric CO2 Levels The Oceanic System Sources of Calcium, Magnesium, and Carbon for Modern Oceans Mass Balance of Ca, Mg, and C in Present Oceans Oceanic Mass Balance of Elements Interactive with Ca, Mg, and C Concluding Remarks Chapter 10. Sedimentary Carbonates in the Evolution of Earth's Surface Environment Introduction Sedimentary Rock Mass-Age Distributions Secular Trends in Sedimentary Rock Properties Lithologic Types Chemistry and Mineralogy Carbon Cycling Modeling Introduction and Development of a Global Model Glacial-Interglacial Changes of Carbon Dioxide Long-Term Changes of Atmospheric CO2 Phanerozoic Cycling of Sedimentary Carbonates Synopsis of the Origin and Evolution of the Hydrosphere-Atmosphere-Sedimentary Lithosphere Origin of the Hydrosphere The Early Stages The Transitional Stage Modern Conditions Concluding Remarks Epilogue Introduction The Road Traveled The State of the Art Ever Onward References Index
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  • 6
    Unknown
    Berlin ; Heidelberg : Springer
    Description / Table of Contents: PREFACE There are problems, when applying statistical inference to the analysis of data, which are not readily solved by the inferential methods of the standard statistical techniques. One example is the computation of confidence intervals for variance components or for functions of variance components. Another example is the statistical inference on the random parameters of the mixed model of the standard statistical techniques or the inference on parameters of nonlinear models. Bayesian analysis gives answers to these problems. The advantage of the Bayesian approach is its conceptual simplicity. It is based on Bayes' theorem only. In general, the posterior distribution for the unknown parameters following from Bayes' theorem can be readily written down. The statistical inference is then solved by this distribution. Often the posterior distribution cannot be integrated analytically. However, this is not a serious drawback, since efficient methods exist for the numerical integration. The results of the standard statistical techniques concerning the linear models can also be derived by the Bayesian inference. These techniques may therefore be considered as special cases of the Bayesian analysis. Thus, the Bayesian inference is more general. Linear models and models closely related to linear models will be assumed for the analysis of the observations which contain the information on the unknown parameters of the models. The models, which are presented, are well suited for a variety of tasks connected with the evaluation of data. When applications are considered, data will be analyzed which have been taken to solve problems of surveying engineering. This does not mean, of course, that the applications are restricted to geodesy. Bayesian statistics may be applied wherever data need to be evaluated, for instance in geophysics. After an introduction the basic concepts of Bayesian inference are presented in Chapter 2. Bayes' theorem is derived and the introduction of prior information for the unknown parameters is discussed. Estimates of the unknown parameters, of confidence regions and the testing of hypotheses are derived and the predictive analysis is treated. Finally techniques for the numerical integration of the integrals are presented which have to be solved for the statistical inference. Chapter 3 introduces models to analyze data for the statistical inference on the unknown parameters and deals with special applications. First the linear model is presented with noninformative and informative priors for the unknown parameters. The agreement with the results of the standard statistical techniques is pointed out. Furthermore, the prediction of data and the linear model not of full rank are discussed. A method for identifying a model is presented and a less sensitive hypothesis test for the standard statistical techniques is derived. The Kalman-Bucy filter for estimating unknown parameters of linear dynamic systems is also given. Nonlinear models are introduced and as an example the fit of a straight line is treated. The resulting posterior distribution for the unknown parameters is analytically not tractable, so that numerical methods have to be applied for the statistical inference. In contrast to the standard statistical techniques, the Bayesian analysis for mixed models does not discriminate between fixed and random parameters, it distinguishes the parameters according to their prior information. The Bayesian inference on the parameters, which correspond to the random parameters of the mixed model of the standard statistical techniques, is therefore readily accomplished. Noninformafive priors of the variance and covariance components are derived for the linear model with unknown variance and covariance components. In addition, informative priors are given. Again, the resulting posterior distributions are analytically not tractable, so that numerical methods have to be applied for the Bayesian inference. The problem of classification is solved by applying the Bayes rule, i.e. the posterior expected loss computed by the predictive density function of the observations is minimized. Robust estimates of the standard statistical techniques, which are maximum likelihood type estimates, the so-called M-estimates, may also be derived by Bayesian inference. But this approach not only leads to the M-estimates, but also any inferential problem for the parameters may be solved. Finally, the reconstruction of digital images is discussed. Numerous methods exist for the analysis of digital images. The Bayesian approach unites some of them and gives them a common theoretical foundation. This is due to the flexibility by which prior information for the unknown parameters can be introduced. It is assumed that the reader has a basic knowledge of the standard statistical techniques. Whenever these results are needed, for easy reference the appropriate page of the book "Parameter Estimation and Hypothesis Testing in Linear Models" by the author (Koch 1988a) is cited. Of course, any other textbook on statistical techniques can serve this purpose. To easily recognize the end of an example or a proof, it is marked by a A or a t~, respectively. I want to thank all colleagues and students who contributed to this book. In particular, I thank Mr. Andreas Busch, Dipl.-Ing., for his suggestions. I also convey my thanks to Mrs. Karin Bauer, who prepared the copy of the book. The assistance of the Springer- Verlag in checking the English text is gratefully acknowledged. The responsibility of errors, of course, remains with the author.
    Pages: Online-Ressource (198 Seiten)
    ISBN: 9783540530800
    Language: English
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  • 7
    Description / Table of Contents: This volume contains the proceedings of a symposium held at Freiburg im Breisgau, October 7-11, 1990. The symposium was sponsored mainly by the Deutsche Forschungsgemeinschaft (DFG), by the Geological Institute of the University of Freiburg, and by the International Association of Mathematical Geology. We thank these and all other sponsors of the meeting. The symposium whose participants came from more then twenty countries was the first international meeting dedicated entirely to geological applications of threedimensional computer graphics, a rapidly growing field of scientific visualization in geology. The selection of papers in this volume covers a wide range of methods developed in the last decade.
    Pages: Online-Ressource (298 Seiten)
    ISBN: 9783540551904
    Language: English
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  • 8
    Unknown
    Berlin ; Heidelberg : Springer
    Description / Table of Contents: PREFACE The emergence of new information from drilling in deep-sea and coastal areas and the surfacing of the plate tectonics theory probably had the greatest impacts in recent decades on the highly accelerated growth of knowledge regarding the evolution of sediments and sedimentary rocks. Studies in recent years have also provided new insights on global sedimentary processes, and isotopic tools in many ways have enhanced our knowledge and have provided even an unexpected added dimension to the mechanisms of some specific processes. Many different uses of isotopic tools in studies of sedimentary processes can be found in the literature, but the information is highly scattered in the vast field of sedimentology. The disseminated state of existing isotopic knowledge on sedimentary systems has undoubtedly deprived many practitioners in the field to fully appreciate the benefits and limitations, and even the apparent confusion, concerning the use of isotopic tools. We have endeavored here to bring together discussions on some major sedimentary systems in the sedimentary cycle and to analyze them according to isotopic evidence. To accomplish such a task required contributions from many individuals. We were fortunate to have friends who accepted to share our goals. We most sincerely thank all the contributors to this book and deeply appreciate their patience and fortitude despite our undue demands on them to reach our objectives...
    Pages: Online-Ressource (529 Seiten)
    ISBN: 9783540558286
    Language: English
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  • 9
    Unknown
    Berlin ; Heidelberg : Springer
    Keywords: Fehlersuche ; Geophysikalische Methoden ; entropy ; environment ; error analysis ; exploration ; geophysical methods ; geophysics ; inversion ; modeling ; signal processing
    Description / Table of Contents: Introduction / Pages 1-32 --- Interpretation using nomograms / Pages 33-47 --- Linear parameters / Pages 49-114 --- Non-linear parameters / Pages 115-173 --- Maximum likelihood and maximum entropy / Pages 175-193 --- Analytic inversion / Pages 195-211 --- Advanced inversion methods / Pages 213-227 --- Error analysis / Pages 229-243 --- Parallel computation in modelling and inversion / Pages 245-255
    Pages: Online-Ressource (262 Seiten) , Illustrationen, Diagramme
    ISBN: 9783540472636
    Language: English
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  • 10
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