ALBERT

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

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.

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.