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EBSCO_ocn898770269 |
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20231017213018.0 |
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141227s2014 nyua ob 001 0 eng d |
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|a 9781107449336
|q (electronic bk.)
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|a 1107449332
|q (electronic bk.)
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|a 9781316074329
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|a 1316074323
|q (electronic bk.)
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|z 9781107061750
|q (hardback)
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|z 9781107633568
|q (paperback)
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|z 9781316079065
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|a (OCoLC)898770269
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|a GC202
|b .L96 2014eb
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|a 551.46
|a 551.46001
|a 551.460015118
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|a UAMI
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|a Lynch, Daniel R.
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|a Particles in the coastal ocean :
|b theory and applications /
|c Daniel R. Lynch [and others].
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|a New York :
|b Cambridge University Press,
|c 2014.
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|a 1 online resource (xxxiv, 534 pages) :
|b illustrations
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Print version record.
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|a Includes bibliographical references (pages 479-506) and index.
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|a Summarizes the modeling of the transport, evolution and fate of particles in the coastal ocean for advanced students and researchers.
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|a 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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|a 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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|a 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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|a 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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|a 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
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590 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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650 |
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0 |
|a Oceanography
|x Mathematical models.
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650 |
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6 |
|a Océanographie
|x Modèles mathématiques.
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650 |
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7 |
|a SCIENCE
|x Earth Sciences
|x Geography.
|2 bisacsh
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650 |
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|a SCIENCE
|x Earth Sciences
|x Geology.
|2 bisacsh
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650 |
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7 |
|a Oceanography
|x Mathematical models
|2 fast
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700 |
1 |
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|a Greenberg, D. A.
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700 |
1 |
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|a Bilgili, Ata.
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700 |
1 |
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|a McGillicuddy, Dennis J.,
|c Jr.
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700 |
1 |
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|a Manning, James P.
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700 |
1 |
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|a Aretxabaleta, Alfredo L.,
|d 1975-
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776 |
0 |
8 |
|i Print version:
|a Lynch, Daniel R.
|t Particles in the Coastal Ocean : Theory and Applications.
|d New York : Cambridge University Press, ©2014
|z 9781107061750
|
856 |
4 |
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|u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=856049
|z Texto completo
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938 |
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|a Coutts Information Services
|b COUT
|n 30394886
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938 |
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|a ProQuest Ebook Central
|b EBLB
|n EBL1801968
|
938 |
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|a EBSCOhost
|b EBSC
|n 856049
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|a 92
|b IZTAP
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