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003 OCoLC;

005 20150428112157.0;

006 m o d ;

007 cr cnu---unuuu;

008 141227s2014 nyua ob 001 0 eng d;

020 a| 9781107449336q| electronic bk.;

020 a| 1107449332q| electronic bk.;

020 a| 9781316074329q| electronic bk.;

020 a| 1316074323q| electronic bk.;

020 z| 9781107061750q| (hardback);

020 z| 9781107633568q| (paperback);

020 z| 9781316079065;

020 z| 1316079066;

029 1 a| DEBSZb| 424073560;

035 a| (Sirsi) o898770269;

035 a| (OCoLC)898770269;

049 a| EREE;

050 4 a| GC202b| .L96 2014eb;

072 7 a| SCIx| 0300002| bisacsh;

072 7 a| SCIx| 0310002| bisacsh;

082 04 a| 551.46a| 551.46001a| 551.460015118;

100 1 a| Lynch, Daniel R.=| ^A586157;

245 10 a| Particles in the coastal ocean :b| theory and applications /c| Daniel R. Lynch [and others].;

260 a| New York :b| Cambridge University Press,c| 2014.;

300 a| 1 online resource (xxxiv, 534 pages) :b| illustrations;

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

588 0 a| Print version record.;

504 a| Includes bibliographical references (pages 479-506) and index.;

505 8 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; 2.3 Particle Tracking; 2.3.1 Basic Lagrangian Model.;

505 8 a| 2.3.2 Practical Issues2.4 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; 3.2 Some Common Distributions; 3.2.1 Continuous Distributions; 3.2.2 Discrete Distributions.;

505 8 a| 3.2.3 Importance of G, U, B, Pois3.2.4 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; 3.5.4 Autocorrelated Eulerian Fields; 3.5.5 Generating Covariance; 3.5.6 Summary -- Covariance; 3.6 Particles in a Box.;

505 8 a| 3.6.1 Individual Residence Time3.6.2 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; 4.1 Introduction: Discrete Drunken Walk; 4.2 Continuous Processes; 4.2.1 Resolved and Subgrid Motion; 4.2.2 A Hierarchy.;

505 8 a| 4.3 The AR0 Model -- Uncorrelated Random Walk and Simple Diffusion4.3.1 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; 4.4.2 AR1: Discrete Canonical Form; 4.4.3 AR1: Displacement; 4.4.4 Some Summary Observations about the AR1 Model; 4.5 The AR2 Model -- Autocorrelated Acceleration; 4.5.1 Discrete Canonical Forms.;

520 a| Summarizes the modeling of the transport, evolution and fate of particles in the coastal ocean for advanced students and researchers.;

650 0 a| Oceanographyx| Mathematical models.=| ^A1012733;

650 4 a| Continental shelfx| Mathematical models.;

650 4 a| Oceanographyx| Mathematical models.;

650 4 a| Oceanography.;

650 4 a| Transportation.;

650 7 a| SCIENCEx| Earth Sciencesx| Geography.2| bisacsh;

650 7 a| SCIENCEx| Earth Sciencesx| Geology.2| bisacsh;

650 0 a| Electronic books.=| ^A491897;

655 4 a| Electronic books.;

700 1 a| Greenberg, David A.=| ^A925717;

700 1 a| Bilgili, Ata.=| ^A1261479;

700 1 a| McGillicuddy, Dennis J.=| ^A1245732;

700 1 a| Manning, James P.=| ^A1256248;

700 1 a| Aretxabaleta, Alfredo L.,d| 1975-=| ^A1118018;

856 40 3| EBSCOhostu| http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=856049;

938 a| EBL - Ebook Libraryb| EBLBn| EBL1801968;

938 a| EBSCOhostb| EBSCn| 856049;

938 a| Coutts Information Servicesb| COUTn| 30394886;

949 a| Click on web addressw| asish| joyner96o| jwjh;

949 a| Click on web addressw| asish| hsl102o| jwjh;

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596 a| 1 4;

998 a| 3709843;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 3709843-1001l| JNETm| JOYNERr| Ys| Yt| JNE3BKu| 3/3/2015x| EBOOKz| JERESOURCEo| .STAFF. jwjh;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 3709843-2001l| HSLELECm| HSLr| Ys| Yt| HGENEBKu| 3/3/2015x| EBOOKz| HERESOURCEo| .STAFF. jwjh;

Particles in the coastal ocean : theory and applications / Daniel R. Lynch [and others].

Author/creator	Lynch, Daniel R.
Format	Electronic
Publication Info	New York : Cambridge University Press, 2014.
Description	1 online resource (xxxiv, 534 pages) : illustrations
Supplemental Content	EBSCOhost
Subjects	Oceanography--Mathematical models. Continental shelf--Mathematical models. Oceanography--Mathematical models. Oceanography. Transportation. Electronic books.

Other author/creator	Greenberg, David A.
Other author/creator	Bilgili, Ata.
Other author/creator	McGillicuddy, Dennis J.
Other author/creator	Manning, James P.
Other author/creator	Aretxabaleta, Alfredo L., 1975-
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; 2.3 Particle Tracking; 2.3.1 Basic Lagrangian Model.
Contents	2.3.2 Practical Issues2.4 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; 3.2 Some Common Distributions; 3.2.1 Continuous Distributions; 3.2.2 Discrete Distributions.
Contents	3.2.3 Importance of G, U, B, Pois3.2.4 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; 3.5.4 Autocorrelated Eulerian Fields; 3.5.5 Generating Covariance; 3.5.6 Summary -- Covariance; 3.6 Particles in a Box.
Contents	3.6.1 Individual Residence Time3.6.2 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; 4.1 Introduction: Discrete Drunken Walk; 4.2 Continuous Processes; 4.2.1 Resolved and Subgrid Motion; 4.2.2 A Hierarchy.
Contents	4.3 The AR0 Model -- Uncorrelated Random Walk and Simple Diffusion4.3.1 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; 4.4.2 AR1: Discrete Canonical Form; 4.4.3 AR1: Displacement; 4.4.4 Some Summary Observations about the AR1 Model; 4.5 The AR2 Model -- Autocorrelated Acceleration; 4.5.1 Discrete Canonical Forms.
Abstract	Summarizes the modeling of the transport, evolution and fate of particles in the coastal ocean for advanced students and researchers.
Bibliography note	Includes bibliographical references (pages 479-506) and index.
Source of description	Print version record.
Issued in other form	Print version: Lynch, Daniel R. Particles in the Coastal Ocean : Theory and Applications. New York : Cambridge University Press, ©2014 9781107061750
Genre/form	Electronic books.
ISBN	9781107449336 electronic bk.
ISBN	1107449332 electronic bk.
ISBN	9781316074329 electronic bk.
ISBN	1316074323 electronic bk.
ISBN	(hardback)
ISBN	(paperback)

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