| Description |
1 online resource (xxxiv, 534 pages) : illustrations |
| Physical Medium |
polychrome |
| Description |
text file |
| Bibliography |
Includes bibliographical references (pages 479-506) and index. |
| Summary |
Summarizes the modeling of the transport, evolution and fate of particles in the coastal ocean for advanced students and researchers. |
| Contents |
Cover -- Half-title -- Dedication -- Title page -- Copyright information -- Table of contents -- About the authors -- Preface -- Acknowledgments -- List of acronyms -- Definitions and notation -- Introduction and scope -- Part I Background -- 1 The Coastal Ocean -- 1.1 Typical Motions and Scales -- 1.2 Particle Simulation -- 1.2.1 Motion -- 1.2.2 Rates -- 1.2.3 Gather, Scatter -- 1.2.4 Simulation -- 1.2.5 Aggregation and Identity -- 2 Drifters and Their Numerical Simulation -- 2.1 Introduction -- 2.2 Drifter Technology -- 2.2.1 Design -- 2.2.2 Communication -- 2.2.3 Quality Control |
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2.3 Particle Tracking -- 2.3.1 Basic Lagrangian Model -- 2.3.2 Practical Issues -- 2.4 Model Validation with Drifters -- 2.4.1 Field Experience -- 2.5 Drifter Applications -- 2.5.1 Drifter Assimilation -- 3 Probability and Statistics -- A Primer -- 3.1 Basics -- Random Numbers -- 3.1.1 Continuous Distributions: f and F -- 3.1.2 Properties: Survival, Hazard Rate -- 3.1.3 Properties: Mean, Variance, Moments -- 3.1.4 Properties: Median, Mode, Quartile -- 3.1.5 Properties: Other Means -- 3.1.6 Bounding Theorems -- 3.1.7 Discrete Distributions: Pi and Fj |
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3.2 Some Common Distributions -- 3.2.1 Continuous Distributions -- 3.2.2 Discrete Distributions -- 3.2.3 Importance of G, U, B, Pois -- 3.2.4 The Central Limit Theorem -- 3.3 Generating Random Numbers -- 3.3.1 General Methods -- 3.3.2 Some Specific Deviates -- 3.4 Sampling -- Finite N -- 3.4.1 Sample Statistics -- 3.4.2 Sample Mean -- 3.4.3 Sample Variance -- 3.4.4 Recap -- 3.5 Covariance -- 3.5.1 Definitions -- 3.5.2 Correlation and Autocorrelation -- 3.5.3 Autocorrelated Time Series -- 3.5.3.1 Separation-Based Covariance and Correlogram -- 3.5.3.2 Correlogram and Impulse Response |
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3.5.4 Autocorrelated Eulerian Fields -- 3.5.5 Generating Covariance -- 3.5.6 Summary -- Covariance -- 3.6 Particles in a Box -- 3.6.1 Individual Residence Time -- 3.6.2 Aggregate Properties: Relaxation of Initial Condition -- 3.6.3 Export Rate -- 3.6.4 Long-Run Balance -- 3.6.5 Summary -- Steady State -- 3.6.6 Exit Paths -- 3.6.7 Input Paths -- 3.6.8 Autocorrelation -- 3.6.9 Example -- Branch Point -- 3.6.10 A Network of Boxes -- 3.6.10.1 Transfer Rate -- 3.6.10.2 Steady State -- 3.6.11 Closing Ideas -- Particles in Boxes -- 3.7 Closure -- 3.8 General Sources -- 4 Dispersion by Random Walk |
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4.1 Introduction: Discrete Drunken Walk -- 4.2 Continuous Processes -- 4.2.1 Resolved and Subgrid Motion -- 4.2.2 A Hierarchy -- 4.3 The AR0 Model -- Uncorrelated Random Walk and Simple Diffusion -- 4.3.1 The Displacement Process -- 4.3.2 Correspondence to Diffusion -- 4.3.3 Multi-Dimensions -- 4.3.4 Inhomogeneous Diffusion -- 4.3.5 Anisotropic Diffusion -- 4.3.6 Shear and Convergence -- 4.3.7 Metrics of Resolution -- 4.3.8 Stepsize and the Need for Autocorrelation -- 4.4 The AR1 Model -- Autocorrelated Velocity -- 4.4.1 AR1: Continuous Form and Its Discretization |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Oceanography -- Mathematical models.
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Oceanography -- Mathematical models. |
| Genre/Form |
Electronic books.
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Electronic books.
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| Added Author |
Greenberg, D. A.
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Bilgili, Ata.
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McGillicuddy, Dennis J., Jr.
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Manning, James P.
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Aretxabaleta, Alfredo L., 1975-
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| Other Form: |
Print version: Lynch, Daniel R. Particles in the Coastal Ocean : Theory and Applications. New York : Cambridge University Press, ©2014 9781107061750 |
| ISBN |
9781107449336 (electronic book) |
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1107449332 (electronic book) |
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9781316074329 (electronic book) |
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1316074323 (electronic book) |
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9781107061750 (hardback) |
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9781107633568 (paperback) |
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9781316079065 |
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1316079066 |
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