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  • 1
    Online Resource
    Online Resource
    San Diego :Elsevier Science & Technology,
    Keywords: World Ocean Circulation Experiment. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (893 pages)
    Edition: 2nd ed.
    ISBN: 9780123918536
    Series Statement: Issn Series ; v.Volume 103
    DDC: 551.46/2
    Language: English
    Note: Front Cover -- Ocean Circulation and Climate: A 21st Century Perspective -- Copyright -- Contents -- Contributors -- Acknowledgments -- Cover Graphics -- Preface -- Part I: The Ocean's Role in the Climate System -- Chapter 1: The Ocean as a Component of the Climate System -- 1. Setting the Scene -- 2. The Ocean as an Exchanging Earth System Reservoir -- 3. Atmosphere-Ocean Fluxes and Meridional Transports -- 4. Global-Scale Surface and Deep Ocean Circulations -- 5. Large-Scale Modes of Variability Involving the Ocean -- 6. The Ocean's Role in Past Climate Change -- 7. The Ocean in the Anthropocene -- 8. Concluding Thoughts -- Acknowledgments -- References -- Chapter 2: Paleoclimatic Ocean Circulation and Sea-Level Changes -- 1. Introduction -- 2. Reconstructing Past Ocean States -- 2.1. Proxies for Past Ocean Circulation -- 2.1.1. Nutrient Water Mass Tracers -- 2.1.2. Conservative Water Mass Tracers -- 2.1.3. Circulation Rate Tracers -- 2.1.4. Other Tracers -- 2.2. Past Sea-Level Proxies -- 2.2.1. Coastal Morphology and Corals -- 2.2.2. Sediment Cores -- 2.2.3. Manmade Sea-Level Indicators -- 2.3. Models -- 3. The Oceans in the Quaternary -- 3.1. The Last Glacial Maximum -- 3.2. Abrupt Glacial Climate Changes -- 3.2.1. Deglaciation -- 3.3. Glacial Cycles -- 3.4. Interglacial Climates -- 4. The Deeper Past -- 4.1. Challenges of Deep-Time Paleoceanography -- 4.2. The Oceans During the Mid-Cretaceous Warm Period -- 5. Outlook -- Acknowledgments -- References -- Part II: Ocean Observations -- Chapter 3: In Situ Ocean Observations: A Brief History, Present Status, and Future Directions -- 1. Introduction -- 2. Development of Present Observational Capability -- 2.1. Late Nineteenth to Mid-Twentieth Centuries -- 2.2. Second Half of Twentieth Century -- 2.3. Twenty-First Century: Consolidation of Capabilities and Growth of Sustained Observations. , 3. Emerging and Specialized Ocean Observing Technologies -- 3.1. Advanced Observing Platforms -- 3.2. Specialized Observing Systems and Technologies -- 3.3. New Sensors -- 4. Changes in Data Volume and Coverage and Implication for Synthesis Products -- 5. The Future: Outstanding Issues and a New Framework for Global Ocean Observing -- 5.1. Building on OceanObs'09 -- 6. Conclusions -- References -- Chapter 4: Remote Sensing of the Global Ocean Circulation -- 1. Introduction -- 2. Ocean General Circulation -- 3. Variability of the Large-Scale Ocean Circulation -- 3.1. Sea Surface Height -- 3.2. Ocean Mass and Bottom Pressure -- 3.3. Global Mean Sea-Level Change (see also Chapter 27) -- 3.4. Forcing by the Atmosphere and Air-Sea Interaction -- 4. Mesoscale Eddies and Fronts -- 4.1. Mapping the Eddy Field -- 4.2. Wave Number Spectra and the Ocean Energy Cascade -- 4.3. Seasonal and Interannual Variations in Eddy Energy -- 4.4. Tracking Individual Eddies -- 4.5. Surface Currents from Multisensor Mapping -- 4.6. Eddy Fluxes of Ocean Properties (see also Chapter 8) -- 4.7. Submesoscale Dynamics -- 4.8. Eddies and Biogeochemical Processes -- 5. Summary and Outlook -- Acknowledgments -- References -- Part III: Ocean Processes -- Chapter 5: Exchanges Through the Ocean Surface -- 1. Introduction -- 2. Air-Sea Exchange Formulae and Climatological Fields -- 2.1. Air-Sea Exchange Formulae -- 2.2. Climatological Fields -- 3. Measurement Techniques and Review of Datasets -- 3.1. Flux Measurement and Estimation Techniques -- 3.1.1. Advances in Parameterizations and In Situ Flux Measurements -- 3.1.2. High Quality In Situ Surface Flux Datasets -- 3.2. Flux Datasets: Overview of Recent Products -- 3.2.1. Atmospheric Reanalyses -- 3.2.2. Satellite Observations -- 3.2.3. In Situ Observations -- 3.2.4. Blended Products -- 3.3. Flux Datasets: Evaluation Techniques. , 4. Variability and Extremes -- 4.1. Impacts of Large-Scale Modes of Variability on Surface Fluxes -- 4.2. Surface Flux Response to Anthropogenic Climate Change -- 4.3. Transfers Under Extreme Conditions -- 5. Ocean Impacts -- 5.1. Impacts on Near-Surface Ocean Layer Properties, Water Mass Transformation -- 5.2. Impacts of Surface Fluxes on Ocean Circulation -- 6. Outlook and Conclusions -- 6.1. Prospects for Improved Flux Datasets -- 6.2. Prospects for Enhanced Observational Constraints -- 6.3. Conclusions -- Acknowledgments -- References -- Chapter 6: Thermodynamics of Seawater -- 1. Introduction -- 2. Absolute Salinity SA and Preformed Salinity S* -- 2.1. Reference-Composition Salinity SR -- 2.2. Absolute Salinity SA -- 2.3. Preformed Salinity S* -- 3. The Gibbs-Function Approach to Evaluating Thermodynamic Properties -- 4. The First Law of Thermodynamics and Conservative Temperature Θ -- 5. The 48-Term Expression for Specific Volume -- 6. Changes to Oceanographic Practice Under TEOS-10 -- 7. Ocean Modeling Using TEOS-10 -- 8. Summary -- Acknowledgments -- References -- Chapter 7: Diapycnal Mixing Processes in the Ocean Interior -- 1. Introduction -- 2. Mixing Basics -- 3. Turbulence in and Below the Surface Mixed Layer -- 3.1. Langmuir Turbulence -- 3.2. Inertial Motions -- 3.3. An Equatorial Example -- 3.4. Fronts and Other Lateral Processes -- 4. Mixing in the Ocean Interior -- 4.1. Internal Wave Breaking -- 4.1.1. Dissipation Near Internal Tide Generation Sites -- 4.1.2. Dissipation Near-Inertial Wave Generation Sites -- 4.1.3. Wave-Wave Interactions -- 4.1.4. Distant Graveyards -- 4.2. Mixing in Fracture Zones -- 4.3. Mesoscale Dissipation as a Source of Turbulent Mixing -- 4.4. In-Depth Example: Southern Ocean Mixing (see also Chapter 18) -- 5. Discussion -- 5.1. Finescale Parameterizations of Turbulent Mixing. , 5.2. Global Values and Patterns -- 5.3. Representing Patchy Mixing in Large-Scale Models: Progress and Consequences -- 6. Summary and Future Directions -- Acknowledgments -- References -- Chapter 8: Lateral Transport in the Ocean Interior -- 1. Introduction -- 2. Theory of Mass, Tracer, and Vector Transport -- 2.1. Fundamental Equations -- 2.1.1. Primitive Equations -- 2.1.2. Minimal-Disturbance Planes and Slopes -- 2.1.3. Density-Coordinate Continuity and Tracer Equations -- 2.2. Steady, Conservative Equations -- 2.3. Reynolds-Averaged Equations -- 2.4. Diffusion by Continuous Movements -- 2.4.1. Diagnosing Eigenvectors, Eigenvalues, and Principal Axes of Diffusivities -- 2.5. Sources of Anisotropy in Oceanic Diffusion -- 2.6. The Veronis Effect -- 2.7. Streamfunction and Diffusivity -- 3. Observations and Models of Spatial Variations of Eddy Statistics -- 4. Mesoscale Isoneutral Diffusivity Variation Parameterizations -- 4.1. Parameterizations Versus Diagnosed K -- 4.1.1. Eddy Scales Versus Instability Scale -- 4.1.2. Eddy Versus Instability Spatial Scale -- 4.1.3. Eddy Versus Instability Time Scale -- 4.2. New Parameterization Approaches and Future Developments -- 5. Conclusions and Remaining Questions -- Acknowledgment -- References -- Chapter 9: Global Distribution and Formation of Mode Waters -- 1. Mode Water Observations -- 2. Global Water Mass Census of the Upper Ocean -- 3. Global Distribution of Mode Water -- 4. Formation of Mode Water -- 5. PV Framework -- 6. Mode Water and Climate -- 7. Conclusions -- Acknowledgments -- References -- Chapter 10: Deepwater Formation -- 1. Introduction -- 1.1. Circulation and Distribution of NADW and AABW -- 1.2. Observed Heat Content Changes in AABW -- 1.3. Observed Heat Content Changes in Upper and Lower NADW -- 2. Processes of Deepwater Formation. , 2.1. Deep Convection: The Example of Formation of Upper North Atlantic Deep Water -- 2.2. Entrainment: The Example of the Formation of the Lower North Atlantic Deep Water -- 2.3. Shelf and Under-Ice Processes: The Example of Formation of AABW -- 2.3.1. Formation Rates and Spreading of AABW -- 3. Interannual and Decadal Variability in Properties, Formation Rate, and Circulation -- 3.1. Labrador Sea Water: Variability in Properties and Formation Rate -- 3.2. Greenland-Scotland Ridge Overflow Water: Variability in Properties and Overflow Rate -- 3.3. Relationship Between Formation Rates of NADW and Changes in the AMOC -- 3.4. Antarctic Bottom Water: Variability in Properties and Formation Rate -- 4. Conclusions and Outlook -- References -- Part IV: Ocean Circulation and Water Masses -- Chapter 11: Conceptual Models of the Wind-Driven and Thermohaline Circulation -- 1. Introduction -- 2. Wind-Driven Circulation -- 2.1. Ekman Layer and Ekman Overturning Cells -- 2.2. Sverdrup Balance -- 2.3. Western Boundary Currents and Inertial Recirculation -- 2.4. Vertical Structure of the Wind-Driven Circulation -- 2.5. Role of Bottom Topography -- 3. Thermohaline Circulation -- 3.1. Energetics and Global Perspective -- 3.2. Role of the Southern Ocean and Relation to the Antarctic Circumpolar Current -- 3.3. Water Mass Formation -- 3.4. Three-Dimensional Structure of the THC -- 3.5. Feedbacks and Multiple Equilibria -- 3.6. Does the South Atlantic Determine the Stability of the THC? -- 4. Transient Behaviour of the Wind-Driven and Thermohaline Circulation -- 5. Discussion and Perspective -- Acknowledgments -- References -- Chapter 12: Ocean Surface Circulation -- 1. Observed Near-Surface Currents -- 1.1. Global Drifter Program and History of Lagrangian Observations -- 1.2. Mean Surface Circulation -- 2. Geostrophic Surface Circulation. , 2.1. High-Resolution Mean Dynamic Topography.
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  • 2
    Keywords: World Ocean Circulation Experiment ; Ocean-atmosphere interaction ; Ocean circulation ; Aufsatzsammlung ; Meeresströmung ; Klima
    Type of Medium: Book
    Pages: XXIII, 868 S. , Ill., graph. Darst., Kt.
    Edition: [2. ed.]
    ISBN: 9780123918512
    Series Statement: International geophysics series 103
    DDC: 551.46/2
    RVK:
    RVK:
    Language: English
    Note: Literaturangaben und Index (S. 843 - 868)
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  • 3
    Book
    Book
    Princeton : Princeton University Press
    Keywords: Ocean - atmosphere interaction Mathematical models ; Climatology Mathematical models ; Ocean circulation Mathematical models ; Ocean circulation Computer simulation ; Atmospheric physics Mathematical models ; Atmospheric physics Computer simulation ; Meer ; Klima ; Modell ; Meer ; Zirkulation ; Mathematisches Modell ; Meer ; Zirkulation ; Computersimulation ; Meer ; Klima ; Modell ; Meeresströmung ; Computersimulation
    Type of Medium: Book
    Pages: XXXIV, 518 Seiten , Illustrationen , 26cm
    ISBN: 0691118922
    RVK:
    Language: English
    Note: Literaturverz. S. [493] - 509
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  • 4
    In: Ocean modelling online, Amsterdam [u.a.] : Elsevier Science, 1999, 26(2009), 1/2, Seite 1-46, 1463-5011
    In: volume:26
    In: year:2009
    In: number:1/2
    In: pages:1-46
    Description / Table of Contents: Coordinated Ocean-ice Reference Experiments (COREs) are presented as a tool to explore the behaviour of global ocean-ice models under forcing from a common atmospheric dataset. We highlight issues arising when designing coupled global ocean and sea ice experiments, such as difficulties formulating a consistent forcing methodology and experimental protocol. Particular focus is given to the hydrological forcing, the details of which are key to realizing simulations with stable meridional overturning circulations. The atmospheric forcing from [Large, W., Yeager, S., 2004. Diurnal to decadal global forcing for ocean and sea-ice models: the data sets and flux climatologies. NCAR Technical Note: NCAR/TN-460+STR. CGD Division of the National Center for Atmospheric Research] was developed for coupled-ocean and sea ice models. We found it to be suitable for our purposes, even though its evaluation originally focussed more on the ocean than on the sea-ice. Simulations with this atmospheric forcing are presented from seven global ocean-ice models using the CORE-I design (repeating annual cycle of atmospheric forcing for 500 years). These simulations test the hypothesis that global ocean-ice models run under the same atmospheric state produce qualitatively similar simulations. The validity of this hypothesis is shown to depend on the chosen diagnostic. The CORE simulations provide feedback to the fidelity of the atmospheric forcing and model configuration, with identification of biases promoting avenues for forcing dataset and/or model development.
    Type of Medium: Online Resource
    Pages: graph. Darst
    ISSN: 1463-5011
    Language: English
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  • 5
    Publication Date: 2020-02-06
    Description: The Ocean Model Intercomparison Project (OMIP) focuses on the physics and biogeochemistry of the ocean component of Earth system models participating in the sixth phase of the Coupled Model Intercomparison Project (CMIP6). OMIP aims to provide standard protocols and diagnostics for ocean models, while offering a forum to promote their common assessment and improvement. It also offers to compare solutions of the same ocean models when forced with reanalysis data (OMIP simulations) vs. when integrated within fully coupled Earth system models (CMIP6). Here we detail simulation protocols and diagnostics for OMIP's biogeochemical and inert chemical tracers. These passive-tracer simulations will be coupled to ocean circulation models, initialized with observational data or output from a model spin-up, and forced by repeating the 1948–2009 surface fluxes of heat, fresh water, and momentum. These so-called OMIP-BGC simulations include three inert chemical tracers (CFC-11, CFC-12, SF6) and biogeochemical tracers (e.g., dissolved inorganic carbon, carbon isotopes, alkalinity, nutrients, and oxygen). Modelers will use their preferred prognostic BGC model but should follow common guidelines for gas exchange and carbonate chemistry. Simulations include both natural and total carbon tracers. The required forced simulation (omip1) will be initialized with gridded observational climatologies. An optional forced simulation (omip1-spunup) will be initialized instead with BGC fields from a long model spin-up, preferably for 2000 years or more, and forced by repeating the same 62-year meteorological forcing. That optional run will also include abiotic tracers of total dissolved inorganic carbon and radiocarbon, CTabio and 14CTabio, to assess deep-ocean ventilation and distinguish the role of physics vs. biology. These simulations will be forced by observed atmospheric histories of the three inert gases and CO2 as well as carbon isotope ratios of CO2. OMIP-BGC simulation protocols are founded on those from previous phases of the Ocean Carbon-Cycle Model Intercomparison Project. They have been merged and updated to reflect improvements concerning gas exchange, carbonate chemistry, and new data for initial conditions and atmospheric gas histories. Code is provided to facilitate their implementation.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
    Format: text
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  • 6
    Publication Date: 2021-02-08
    Description: Highlights: • Lagrangian ocean analysis is a powerful way to analyse the output of ocean circulation models • We present a review of the Kinematic framework, available tools, and applications of Lagrangian ocean analysis • While there are unresolved questions, the framework is robust enough to be used widely in ocean modelling Abstract: Lagrangian analysis is a powerful way to analyse the output of ocean circulation models and other ocean velocity data such as from altimetry. In the Lagrangian approach, large sets of virtual particles are integrated within the three-dimensional, time-evolving velocity fields. Over several decades, a variety of tools and methods for this purpose have emerged. Here, we review the state of the art in the field of Lagrangian analysis of ocean velocity data, starting from a fundamental kinematic framework and with a focus on large-scale open ocean applications. Beyond the use of explicit velocity fields, we consider the influence of unresolved physics and dynamics on particle trajectories. We comprehensively list and discuss the tools currently available for tracking virtual particles. We then showcase some of the innovative applications of trajectory data, and conclude with some open questions and an outlook. The overall goal of this review paper is to reconcile some of the different techniques and methods in Lagrangian ocean analysis, while recognising the rich diversity of codes that have and continue to emerge, and the challenges of the coming age of petascale computing.
    Type: Article , PeerReviewed
    Format: text
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  • 7
    Publication Date: 2021-02-08
    Description: Highlights: • Lagrangian vortices are identified in a mesoscale eddy-permitting ocean model. • Rigorous sensitivity analysis of the methods tuning parameters is conducted. • The Coherency Index, a new Lagrangian diagnostic, is introduced to quantify the material coherency of a vortex. • The spectrum of vortex coherency is explored by identifying leaky, moderately coherent, and strictly coherent vortices. We identify Lagrangian coherent vortices in a global mesoscale eddy-permitting ocean model using the rotation-based method of Haller et al. (2016). We present an analysis of the acute sensitivity of the identification results to varying the method’s free parameters, and develop physically justified parameter choices that allow for systematic vortex identification. In contrast to prior vortex studies, we probe the broad spectrum of coherency in the ocean by determining free parameter choices that partition the spectrum into distinct allowing for the identification of strictly coherent, moderately coherent, and leaky vortices. Our tuning methodology is grounded in a combination of sensitivity analysis, convergence tests, and consideration of the ocean model’s physics. To aid in this process, we introduce the a novel Lagrangian diagnostic for mathematically quantifying the degree of material coherency of a Lagrangian vortex. We aim for this manuscript and the accompanying open-access code to serve as a manual and toolset for the oceanographer interested in harnessing a rigorous Lagrangian method to uncover coherent structures in ocean models and observations.
    Type: Article , PeerReviewed
    Format: text
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  • 8
    Publication Date: 2020-02-06
    Description: The Weddell Sea polynya is a large opening in the open-ocean sea ice cover associated with intense deep convection in the ocean. A necessary condition to form and maintain a polynya is the presence of a strong subsurface heat reservoir. This study investigates the processes that control the stratification and hence the buildup of the subsurface heat reservoir in the Weddell Sea. To do so, a climate model run for 200 years under preindustrial forcing with two eddying resolutions in the ocean (0.25° CM2.5 and 0.10° CM2.6) is investigated. Over the course of the simulation, CM2.6 develops two polynyas in the Weddell Sea, while CM2.5 exhibits quasi-continuous deep convection but no polynyas, exemplifying that deep convection is not a sufficient condition for a polynya to occur. CM2.5 features a weaker subsurface heat reservoir than CM2.6 owing to weak stratification associated with episodes of gravitational instability and enhanced vertical mixing of heat, resulting in an erosion of the reservoir. In contrast, in CM2.6, the water column is more stably stratified, allowing the subsurface heat reservoir to build up. The enhanced stratification in CM2.6 arises from its refined horizontal grid spacing and resolution of topography, which allows, in particular, a better representation of the restratifying effect by transient mesoscale eddies and of the overflows of dense waters along the continental slope.
    Type: Article , PeerReviewed
    Format: text
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  • 9
    Publication Date: 2021-02-08
    Description: We present a new surface-atmospheric dataset for driving ocean–sea-ice models based on Japanese 55-year atmospheric reanalysis (JRA-55), referred to here as JRA55-do. The JRA55-do dataset aims to replace the CORE interannual forcing version 2 (hereafter called the CORE dataset), which is currently used in the framework of the Coordinated Ocean-ice Reference Experiments (COREs) and the Ocean Model Intercomparison Project (OMIP). A major improvement in JRA55-do is the refined horizontal grid spacing (∼ 55 km) and temporal interval (3 hr). The data production method for JRA55-do essentially follows that of the CORE dataset, whereby the surface fields from an atmospheric reanalysis are adjusted relative to reference datasets. To improve the adjustment method, we use high-quality products derived from satellites and from several other atmospheric reanalysis projects, as well as feedback on the CORE dataset from the ocean modelling community. Notably, the surface air temperature and specific humidity are adjusted using multi-reanalysis ensemble means. In JRA55-do, the downwelling radiative fluxes and precipitation, which are affected by an ambiguous cloud parameterisation employed in the atmospheric model used for the reanalysis, are based on the reanalysis products. This approach represents a notable change from the CORE dataset, which imported independent observational products. Consequently, the JRA55-do dataset is more self-contained than the CORE dataset, and thus can be continually updated in near real-time. The JRA55-do dataset extends from 1958 to the present, with updates expected at least annually. This paper details the adjustments to the original JRA-55 fields, the scientific rationale for these adjustments, and the evaluation of JRA55-do. The adjustments successfully corrected the biases in the original JRA-55 fields. The globally averaged features are similar between the JRA55-do and CORE datasets, implying that JRA55-do can suitably replace the CORE dataset for use in driving global ocean–sea-ice models.
    Type: Article , PeerReviewed
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  • 10
    Publication Date: 2019-09-23
    Description: Highlights: • We focus on ACC and Southern Ocean MOC during 1958–2007 in 17 CORE-II forced models. • Most CORE-II simulations are close to eddy saturation. • Most CORE-II simulations are far from showing signs of eddy compensation. • Constant in time or space k results in poor representation of mesoscale eddy effects. • MOC has larger sensitivity than ACC transport even in eddy saturated state. Abstract: In the framework of the second phase of the Coordinated Ocean-ice Reference Experiments (CORE-II), we present an analysis of the representation of the Antarctic Circumpolar Current (ACC) and Southern Ocean meridional overturning circulation (MOC) in a suite of seventeen global ocean–sea ice models. We focus on the mean, variability and trends of both the ACC and MOC over the 1958–2007 period, and discuss their relationship with the surface forcing. We aim to quantify the degree of eddy saturation and eddy compensation in the models participating in CORE-II, and compare our results with available observations, previous fine-resolution numerical studies and theoretical constraints. Most models show weak ACC transport sensitivity to changes in forcing during the past five decades, and they can be considered to be in an eddy saturated regime. Larger contrasts arise when considering MOC trends, with a majority of models exhibiting significant strengthening of the MOC during the late 20th and early 21st century. Only a few models show a relatively small sensitivity to forcing changes, responding with an intensified eddy-induced circulation that provides some degree of eddy compensation, while still showing considerable decadal trends. Both ACC and MOC interannual variabilities are largely controlled by the Southern Annular Mode (SAM). Based on these results, models are clustered into two groups. Models with constant or two-dimensional (horizontal) specification of the eddy-induced advection coefficient κ show larger ocean interior decadal trends, larger ACC transport decadal trends and no eddy compensation in the MOC. Eddy-permitting models or models with a three-dimensional time varying κ show smaller changes in isopycnal slopes and associated ACC trends, and partial eddy compensation. As previously argued, a constant in time or space κ is responsible for a poor representation of mesoscale eddy effects and cannot properly simulate the sensitivity of the ACC and MOC to changing surface forcing. Evidence is given for a larger sensitivity of the MOC as compared to the ACC transport, even when approaching eddy saturation. Future process studies designed for disentangling the role of momentum and buoyancy forcing in driving the ACC and MOC are proposed.
    Type: Article , PeerReviewed
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