Particles in the coastal ocean :: theory and applications /
Summarizes the modeling of the transport, evolution and fate of particles in the coastal ocean for advanced students and researchers.
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| Main Author: | |
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| Other Authors: | , , , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York :
Cambridge University Press,
2014.
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | Summarizes the modeling of the transport, evolution and fate of particles in the coastal ocean for advanced students and researchers. The coastal ocean comprises the semi-enclosed seas on the continental shelf, including estuaries and extending to the shelf break. This region is the focus of many serious concerns, including coastal inundation by tides, storm surges or sea level change; fisheries and aquaculture management; water quality; harmful algal blooms; planning of facilities (such as power stations); port development and maintenance; and oil spills. This book addresses modeling and simulation of the transport, evolution and fate of particles (physical and biological) in the coastal ocean. It is the first to summarize the state of the art in this field and direct it toward diverse applications, for example in measuring and monitoring sediment motion, oil spills and larval ecology. This is an invaluable textbook and reference work for advanced students and researchers in oceanography, geophysical fluid dynamics, marine and civil engineering, computational science and environmental science. |
| Physical Description: | 1 online resource (xxxiv, 534 pages) : illustrations |
| Bibliography: | Includes bibliographical references (pages 479-506) and index. |
| ISBN: | 9781107449336 1107449332 9781316074329 1316074323 |
Staff View
MARC
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| 049 | |a MAIN | ||
| 100 | 1 | |a Lynch, Daniel R. | |
| 245 | 1 | 0 | |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 text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Print version record. | |
| 504 | |a Includes bibliographical references (pages 479-506) and index. | ||
| 520 | |a Summarizes the modeling of the transport, evolution and fate of particles in the coastal ocean for advanced students and researchers. | ||
| 520 | |a The coastal ocean comprises the semi-enclosed seas on the continental shelf, including estuaries and extending to the shelf break. This region is the focus of many serious concerns, including coastal inundation by tides, storm surges or sea level change; fisheries and aquaculture management; water quality; harmful algal blooms; planning of facilities (such as power stations); port development and maintenance; and oil spills. This book addresses modeling and simulation of the transport, evolution and fate of particles (physical and biological) in the coastal ocean. It is the first to summarize the state of the art in this field and direct it toward diverse applications, for example in measuring and monitoring sediment motion, oil spills and larval ecology. This is an invaluable textbook and reference work for advanced students and researchers in oceanography, geophysical fluid dynamics, marine and civil engineering, computational science and environmental science. | ||
| 505 | 0 | |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 | |
| 505 | 8 | |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 | |
| 505 | 8 | |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 | |
| 505 | 8 | |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 | |
| 505 | 8 | |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 | |
| 650 | 0 | |a Oceanography |x Mathematical models. | |
| 650 | 6 | |a Océanographie |x Modèles mathématiques. | |
| 650 | 7 | |a SCIENCE |x Earth Sciences |x Geography. |2 bisacsh | |
| 650 | 7 | |a SCIENCE |x Earth Sciences |x Geology. |2 bisacsh | |
| 650 | 7 | |a Oceanografía |x Modelos matemáticos |2 embne | |
| 650 | 7 | |a Oceanography |x Mathematical models |2 fast | |
| 655 | 4 | |a Electronic book. | |
| 700 | 1 | |a Greenberg, D. A. | |
| 700 | 1 | |a Bilgili, Ata. | |
| 700 | 1 | |a McGillicuddy, Dennis J., |c Jr. |1 https://id.oclc.org/worldcat/entity/E39PBJhRG49gjTVk8fM7YWqhHC | |
| 700 | 1 | |a Manning, James P. | |
| 700 | 1 | |a Aretxabaleta, Alfredo L., |d 1975- |1 https://id.oclc.org/worldcat/entity/E39PCjGgp9m7RX6MCyhMbmyYbm | |
| 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 |
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Record in the Search Index
| DE-BY-FWS_katkey | ZDB-4-EBA-ocn898770269 |
|---|---|
| _version_ | 1829095020911656960 |
| adam_text | |
| any_adam_object | |
| author | Lynch, Daniel R. |
| author2 | Greenberg, D. A. Bilgili, Ata McGillicuddy, Dennis J., Jr Manning, James P. Aretxabaleta, Alfredo L., 1975- |
| author2_role | |
| author2_variant | d a g da dag a b ab d j m dj djm j p m jp jpm a l a al ala |
| author_facet | Lynch, Daniel R. Greenberg, D. A. Bilgili, Ata McGillicuddy, Dennis J., Jr Manning, James P. Aretxabaleta, Alfredo L., 1975- |
| author_role | |
| author_sort | Lynch, Daniel R. |
| author_variant | d r l dr drl |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | G - Geography, Anthropology, Recreation |
| callnumber-label | GC202 |
| callnumber-raw | GC202 .L96 2014eb |
| callnumber-search | GC202 .L96 2014eb |
| callnumber-sort | GC 3202 L96 42014EB |
| callnumber-subject | GC - Oceanography |
| collection | ZDB-4-EBA |
| 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 -- 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 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 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 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 |
| ctrlnum | (OCoLC)898770269 |
| dewey-full | 551.46 551.46001 551.460015118 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 551 - Geology, hydrology, meteorology |
| dewey-raw | 551.46 551.46001 551.460015118 |
| dewey-search | 551.46 551.46001 551.460015118 |
| dewey-sort | 3551.46 |
| dewey-tens | 550 - Earth sciences |
| discipline | Geologie / Paläontologie |
| format | Electronic eBook |
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| genre | Electronic book. |
| genre_facet | Electronic book. |
| id | ZDB-4-EBA-ocn898770269 |
| illustrated | Illustrated |
| indexdate | 2025-04-11T08:42:23Z |
| institution | BVB |
| isbn | 9781107449336 1107449332 9781316074329 1316074323 |
| language | English |
| oclc_num | 898770269 |
| open_access_boolean | |
| owner | MAIN DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 1 online resource (xxxiv, 534 pages) : illustrations |
| psigel | ZDB-4-EBA FWS_PDA_EBA ZDB-4-EBA |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | Cambridge University Press, |
| record_format | marc |
| spelling | Lynch, Daniel R. Particles in the coastal ocean : theory and applications / Daniel R. Lynch [and others]. New York : Cambridge University Press, 2014. 1 online resource (xxxiv, 534 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Print version record. Includes bibliographical references (pages 479-506) and index. Summarizes the modeling of the transport, evolution and fate of particles in the coastal ocean for advanced students and researchers. The coastal ocean comprises the semi-enclosed seas on the continental shelf, including estuaries and extending to the shelf break. This region is the focus of many serious concerns, including coastal inundation by tides, storm surges or sea level change; fisheries and aquaculture management; water quality; harmful algal blooms; planning of facilities (such as power stations); port development and maintenance; and oil spills. This book addresses modeling and simulation of the transport, evolution and fate of particles (physical and biological) in the coastal ocean. It is the first to summarize the state of the art in this field and direct it toward diverse applications, for example in measuring and monitoring sediment motion, oil spills and larval ecology. This is an invaluable textbook and reference work for advanced students and researchers in oceanography, geophysical fluid dynamics, marine and civil engineering, computational science and environmental science. 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 -- 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 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 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 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 Oceanography Mathematical models. Océanographie Modèles mathématiques. SCIENCE Earth Sciences Geography. bisacsh SCIENCE Earth Sciences Geology. bisacsh Oceanografía Modelos matemáticos embne Oceanography Mathematical models fast Electronic book. Greenberg, D. A. Bilgili, Ata. McGillicuddy, Dennis J., Jr. https://id.oclc.org/worldcat/entity/E39PBJhRG49gjTVk8fM7YWqhHC Manning, James P. Aretxabaleta, Alfredo L., 1975- https://id.oclc.org/worldcat/entity/E39PCjGgp9m7RX6MCyhMbmyYbm Print version: Lynch, Daniel R. Particles in the Coastal Ocean : Theory and Applications. New York : Cambridge University Press, ©2014 9781107061750 |
| spellingShingle | Lynch, Daniel R. Particles in the coastal ocean : theory and applications / 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 -- 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 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 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 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 Oceanography Mathematical models. Océanographie Modèles mathématiques. SCIENCE Earth Sciences Geography. bisacsh SCIENCE Earth Sciences Geology. bisacsh Oceanografía Modelos matemáticos embne Oceanography Mathematical models fast |
| title | Particles in the coastal ocean : theory and applications / |
| title_auth | Particles in the coastal ocean : theory and applications / |
| title_exact_search | Particles in the coastal ocean : theory and applications / |
| title_full | Particles in the coastal ocean : theory and applications / Daniel R. Lynch [and others]. |
| title_fullStr | Particles in the coastal ocean : theory and applications / Daniel R. Lynch [and others]. |
| title_full_unstemmed | Particles in the coastal ocean : theory and applications / Daniel R. Lynch [and others]. |
| title_short | Particles in the coastal ocean : |
| title_sort | particles in the coastal ocean theory and applications |
| title_sub | theory and applications / |
| topic | Oceanography Mathematical models. Océanographie Modèles mathématiques. SCIENCE Earth Sciences Geography. bisacsh SCIENCE Earth Sciences Geology. bisacsh Oceanografía Modelos matemáticos embne Oceanography Mathematical models fast |
| topic_facet | Oceanography Mathematical models. Océanographie Modèles mathématiques. SCIENCE Earth Sciences Geography. SCIENCE Earth Sciences Geology. Oceanografía Modelos matemáticos Oceanography Mathematical models Electronic book. |
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