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  • 1
    Keywords: Earth sciences ; Earth Sciences ; Meteorology ; Oceanography ; Environmental sciences ; Remote sensing ; Acoustical engineering ; Environmental monitoring
    Description / Table of Contents: This book provides contributions from leading experts on the integration of novel sensing technologies to yield unprecedented observations of coupled biological, chemical, and physical processes in the ocean from the macro to micro scale. Authoritative entries from experts around the globe provide first-hand information for oceanographers and researchers looking for solutions to measurement problems. Ocean observational techniques have seen rapid advances in the last few years and this book addresses the need for a single overview of present and future trends in near real time and real time. First the past, present and future scenarios of ocean observational tools and techniques are elucidated. Then this book divides into three modes of ocean observations: surface, upper ocean and deep ocean. This is followed by data quality and modelling. Collecting a summary of methods and applications, this book provides first-hand information for oceanographers and researchers looking for solutions to measurement problems. This book is also suitable for final year undergraduate students or beginning graduate students in ocean engineering, oceanography and various other engineering students (such as Mechanical, Civil, Electrical, and Bioengineering) who are interested in specializing their skills towards modern measurements of the ocean
    Type of Medium: Online Resource
    Pages: Online-Ressource (XII, 323 p. 122 illus., 106 illus. in color, online resource)
    ISBN: 9783319664934
    Series Statement: Springer Oceanography
    RVK:
    Language: English
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  • 2
    Online Resource
    Online Resource
    Cham :Springer International Publishing AG,
    Keywords: Oceanography-Research. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (322 pages)
    Edition: 1st ed.
    ISBN: 9783319664934
    Series Statement: Springer Oceanography Series
    Language: English
    Note: Intro -- Foreword -- Preface -- Contents -- About the Editors -- Part I: Introduction -- Recent Trends in Ocean Observations -- 1 Introduction -- 2 Recent Trends in Ocean Observations -- 3 Emerging Trends -- 4 Concluding Remarks -- References -- Part II: Surface Observations -- Observing Surface Meteorology and Air-Sea Fluxes -- 1 Introduction -- 2 The Required Observations and the Challenges -- 3 Sensors and Sensor Modules -- 4 Buoy Installation, Data Logging, and Telemetry -- 5 Accuracies Achieved in Surface Meteorology and Air-Sea Fluxes -- 6 Conclusions and Future Work -- References -- Drifter Technology and Impacts for Sea Surface Temperature, Sea-Level Pressure, and Ocean Circulation Studies -- 1 Lagrangian Drifter Technology -- 1.1 The Velocity-Temperature (SVP) Drifter -- 1.2 The Barometer Drifter (SVPB) -- 1.3 The Salinity Drifter (SVPS) -- 1.4 The Minimet Wind Drifter (SVPW) and the Autonomous Drifting Ocean Station (ADOS) -- 1.5 Coastal Ocean Dynamics Experiment (CODE) Drifter and River Drifter (RD) -- 2 The Global Drifter Program -- 3 Impacts of the Global Drifter Program Data -- 3.1 Sea Surface Temperature -- 3.2 Sea-Level Atmospheric Pressure: Climate Studies -- 3.3 Sea-Level Atmospheric Pressure: Numerical Weather Prediction -- 3.4 Subsurface Temperature, Air Pressure and Wind: The Seasonal Hurricane Array -- 3.5 Ocean Currents -- 4 Conclusions -- References -- Origin, Transformation and Measurement of Waves in Ocean -- 1 Introduction -- 2 Generation of Waves -- 3 Wave Measurement Systems -- 3.1 Principle of Resistance -- 3.2 Pressure Variation -- 3.3 Acoustic Principle -- 3.4 Principle of Acceleration -- 3.5 GPS-Based Measurement -- 3.6 Remote Sensing/Radar Techniques -- 3.7 Pilot Project on Wave Measurement Evaluation and Test (PP-WET) -- 4 Estimation of Wave Climate Using Measurements and Numerical Modelling. , 5 Wave Data Analysis -- 5.1 Wave Characteristics in North Indian Ocean -- 5.2 Design Waves -- 5.3 Extreme Waves -- Reference -- Part III: Subsurface Observations -- Oceanographic Floats: Principles of Operation -- 1 Introduction -- 2 Float Density and Behavior -- 3 Float Drag in a Stratified Ocean -- 4 Float Maneuvers -- 5 A Dynamic Float Control Algorithm -- 6 Control Regimes -- 7 Usage and Performance -- 8 Issues and Future Progress -- References -- Measuring Ocean Turbulence -- 1 Introduction -- 1.1 Turbulence in the Ocean -- 1.1.1 Reynolds Decomposition of Stationary, Homogeneous, and Isotropic Flows -- 1.1.2 Dimensional Analyses and the Length Scales of Turbulence -- 1.2 Theoretical Spectra and Subranges -- 1.3 Early Developments in the Measurement of Ocean Microstructure and Turbulence -- 2 Quantifying Turbulence with Ocean Measurements -- 2.1 Integral Approaches -- 2.2 Finescale Parameterizations -- 2.2.1 Calculation from Vertical Shear -- 2.2.2 Calculation from Strain -- 2.3 Direct Microstructure Measurements -- 2.3.1 Calculating the Turbulent Kinetic Energy Dissipation Rate -- 2.3.2 Calculating the Dissipation of Thermal (Scalar) Variance -- 3 Summary -- References -- Underwater Gliders -- 1 Introduction -- 2 Design and Development History -- 2.1 Challenges and Design Philosophy -- 2.2 Development History -- 3 Applications and Strategies -- 3.1 Boundary Currents -- 3.2 Process Studies -- 3.3 Biology and Biogeochemistry -- 3.4 Polar Regions -- 4 Lessons and Future Directions -- References -- Advances in In-Situ Ocean Measurements -- 1 Introduction -- 2 Conductivity Sensors -- 2.1 Conductivity Sensor Metrology and Calibration -- 2.2 Conductivity Sensor Response Characteristics -- 2.3 Conductivity Sensor Drift and Calibration Stability -- 3 Temperature Sensors -- 3.1 Temperature Sensor Metrology and Calibration. , 3.2 Temperature Sensor Response Characteristics -- 3.3 Temperature Sensor Drift and Calibration Stability -- 4 Pressure Sensors -- 4.1 Pressure Sensor Metrology and Calibration -- 4.2 Pressure Sensor Response Characteristics -- 4.3 Pressure Sensor Drift and Calibration Stability -- 5 Dissolved Oxygen Sensors -- 5.1 Dissolved Oxygen Sensor Metrology and Calibration -- 5.2 Dissolved Oxygen Response Characteristics -- 5.3 Dissolved Oxygen Sensor Drift and Calibration Stability -- 6 pH Sensors -- 6.1 pH Sensor Metrology and Calibration -- 6.2 pH Sensor Response Characteristics -- 6.3 pH Sensor Drift and Calibration Stability -- References -- Part IV: Remote Sensing -- Ocean Remote Sensing: Concept to Realization for Physical Oceanographic Studies -- 1 Introduction -- 2 Remote Sensing of Sea Surface Temperature -- 2.1 Measurement Principle: Thermal IR and Microwave Regime -- 2.2 Retrieval of Geophysical Parameters -- 2.3 Accuracy, Precision, and Sampling -- 2.4 Applications of Sea Surface Temperature -- 2.5 New Frontier in SST Measurements -- 3 Satellite Altimetry: A Versatile Tool for Ocean Applications -- 3.1 History of Satellite Altimetry -- 3.2 Measurement Principles -- 3.3 Retrieval of Geophysical Parameters (Sea Surface Height, Significant Wave Height, and Wind Speed) -- 3.4 Coastal Altimetry: A Challenging Task -- 3.5 Oceanographic Applications of Altimeter-Derived Parameters -- 3.6 GNSS-R and Swath Altimetry -- 4 Satellite Scatteromerty: Measuring the Ocean Surface Winds -- 4.1 Past, Present, and Future Scatterometers -- 4.2 Basic Measurement Techniques: em Interaction with Roughness -- 4.3 Retrieval of Ocean Surface Winds from Backscattering -- 4.4 Accuracy, Swath, and Resolution -- 4.5 Ocean and Ice Applications of Scatterometry -- 4.6 New Concept in Scatterometry -- 5 Synthetic Aperture Radar: Exploring Fine-Scale Processes. , 5.1 Concept and Principles of SAR Technology -- 5.2 Ocean Surface Imaging -- 5.3 Retrieval of Oceanographic Parameters -- 5.4 Oceanographic Applications of SAR -- 5.5 Future Advancements in SAR -- 6 Remote Sensing of Ocean Salinity: Filling the Missing Gap in Ocean Observation -- 6.1 Satellite Instruments for Salinity -- 6.2 Measurement Principles and Challenges for Salinity Retrieval from Space -- 6.3 Accuracy and Spatiotemporal Sampling -- 6.4 Applications of Satellite-Derived Salinity -- 7 End Remarks -- References -- Near Real-Time Underwater Passive Acoustic Monitoring of Natural and Anthropogenic Sounds -- 1 Introduction -- 2 Instruments -- 3 Platforms -- 3.1 Fixed Platforms -- 3.2 Mobile Nonnavigated Platforms -- 3.3 Mobile Navigated Platforms -- 4 Measurements -- 4.1 Biotic -- 4.2 Abiotic Sources - Natural and Anthropogenic -- 5 Experience -- 5.1 Marine Mammal Monitoring in Real Time -- 5.2 Seismic Activity Monitoring -- 5.3 Real-Time Ambient Noise Monitoring -- 5.4 The Future of Real-Time Passive Acoustic Monitoring -- References -- Data Return Aspects of CODAR and WERA High-Frequency Radars in Mapping Currents -- 1 Introduction -- 2 Data -- 2.1 HF Radar Radial Current Data -- 2.2 Ocean Surface Wave Data -- 2.3 Wind Data -- 3 HF Radar Data Return -- 3.1 Spatial Patterns of HF Radar Data Return -- 3.2 Temporal Variation of HF Radar Data Return -- 4 Summary -- References -- Part V: Data -- Sensor Performance and Data Quality Control -- 1 Optimizing Observations -- 1.1 Instrument Selection -- 1.2 Instrument Preparation -- 1.2.1 Calibration -- 1.2.2 Configuration -- 1.3 Instrument Integration -- 1.3.1 Mooring Design -- 1.3.2 Burn-in and Telemetry Testing -- 1.3.3 Deployment Preparations -- 2 Data Quality Assurance -- 2.1 Data Quality Evaluation -- 2.1.1 Telemetry Monitoring -- 2.1.2 Intercomparison -- 2.1.3 Postrecovery Procedures. , 2.2 Data Processing -- 3 Telemetry and Real-Time Data -- 3.1 Limitations and Benefits of Real-Time Data -- 3.2 Telemetry Systems Overview -- 3.3 Monitoring Data Output and Quality -- 3.3.1 Monitoring Techniques -- 3.3.2 Quality of Real-Time Data -- References -- Near Real-Time Data Recovery from Oceanographic Moorings -- 1 Introduction -- 1.1 Deep Ocean Subsurface Moorings -- 1.2 Deep Ocean Surface Moorings -- 1.3 Shallow Water Surface Moorings -- 2 Conclusion -- References -- Managing Meteorological and Oceanographic In Situ Data in the WMO Framework -- 1 Requirements for Marine Meteorological and Oceanographic (Meteo-ocean) Data for WMO Applications -- 1.1 The Role of the WMO -- 1.2 The WMO Application Areas -- 1.3 The Use of Meteo-ocean Data -- 1.4 Documenting the User Requirements -- 1.5 Gap Analysis -- 1.6 Guidance to WMO Member Countries and Territories on the Evolution of Global Observing Systems -- 2 The Role of the WMO in the Making and Collection of Meteo-ocean Data -- 2.1 International Cooperation Between Meteorologists and Oceanographers for the Making of Meteo-ocean Observations -- 2.2 Observing Platforms -- 2.3 Satellite Data Telecommunication -- 3 Meteo-ocean Data Management in the WMO Framework -- 3.1 Real-Time Data Exchange -- 3.2 Delayed Mode Data Exchange -- 3.3 Recent Approaches Regarding Ocean Data Integration -- 3.4 Quality Control and Feedback to the Observing Platform Operators -- 3.5 Instrument and Platform Metadata -- 3.6 Data Discovery Metadata -- 3.7 Data Policies -- 3.8 How to Access Data -- 3.9 Incentive for Sharing the Data -- 4 Conclusion -- Part VI: Societal Applications -- Applications of Ocean In-situ Observations and Its Societal Relevance -- 1 Introduction -- 2 The Current Status of the Ocean Observations Network in the Indian Ocean -- 3 The Importance and Application of the In-Situ Ocean Observation Network. , 3.1 Better Understanding of Weather and Climate.
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  • 3
    Publication Date: 2022-05-25
    Description: Author Posting. © American Geophysical Union, 2015. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research: Oceans 120 (2015): 6492–6507, doi:10.1002/2014JC010198.
    Description: We present the horizontal kinetic energy (KE) balance of near-inertial currents in the mixed layer and explain shear evolution in the transition layer using observations from a mooring at 15.26° N in the Arabian Sea during the southwest monsoon. The highly sheared and stratified transition layer at the mixed-layer base varies between 5 m and 35 m and correlates negatively with the wind stress. Results from the mixed layer near-inertial KE (NIKE) balance suggest that wind energy at times can energize the transition layer and at other times is fully utilized within the mixed layer. A simple two layer model is utilized to study the shear evolution in the transition layer and shown to match well with observations. The shear production in this model arises from alignment of wind stress and shear. Although the winds are unidirectional during the monsoon, the shear in the transition layer is predominantly near-inertial. The near-inertial shear bursts in the observations show the same phasing and magnitude at near-inertial frequencies as the wind-shear alignment term.
    Description: NASA Grant Number: NNX12AD47G, NSF Grant Number: 0928138, ONR Grant Numbers: N00014-11-1-0429 and N00014-10-1-0273, NSF Grant Number: OCE-0745508
    Description: 2016-03-26
    Keywords: Near inertial energy ; Transition layer ; Near inertial shear
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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  • 4
    Publication Date: 2022-05-25
    Description: Author Posting. © American Meteorological Society, 2018. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Physical Oceanography 48 (2018): 479-509, doi:10.1175/JPO-D-16-0283.1.
    Description: Lateral submesoscale processes and their influence on vertical stratification at shallow salinity fronts in the central Bay of Bengal during the winter monsoon are explored using high-resolution data from a cruise in November 2013. The observations are from a radiator survey centered at a salinity-controlled density front, embedded in a zone of moderate mesoscale strain (0.15 times the Coriolis parameter) and forced by winds with a downfront orientation. Below a thin mixed layer, often ≤10 m, the analysis shows several dynamical signatures indicative of submesoscale processes: (i) negative Ertel potential vorticity (PV); (ii) low-PV anomalies with O(1–10) km lateral extent, where the vorticity estimated on isopycnals and the isopycnal thickness are tightly coupled, varying in lockstep to yield low PV; (iii) flow conditions susceptible to forced symmetric instability (FSI) or bearing the imprint of earlier FSI events; (iv) negative lateral gradients in the absolute momentum field (inertial instability); and (v) strong contribution from differential sheared advection at O(1) km scales to the growth rate of the depth-averaged stratification. The findings here show one-dimensional vertical processes alone cannot explain the vertical stratification and its lateral variability over O(1–10) km scales at the radiator survey.
    Description: S. Ramachandran acknowledges support from the National Science Foundation through award OCE 1558849 and the U.S. Office of Naval Research, Grants N00014-13-1-0456 and N00014-17- 1-2355. A. Tandon acknowledges support from the U.S. Office of Naval Research, Grants N00014-13-1-0456 and N00014-17-1-2355. J. T. Farrar and R. A. Weller were supported by the U.S. Office of Naval Research, Grant N00014-13-1-0453, to collect the UCTD data and process theUCTD and shipboard meteorological data. J. Nash, J. Mackinnon, and A. F. Waterhouse acknowledge support from the U. S. Office of Naval Research, Grants N00014-13-1-0503 and N00014-14-1-0455. E. Shroyer acknowledges support from the U. S. Office of Naval Research, Grants N00014-14-10236 and N00014-15- 12634. A. Mahadevan acknowledges support fromthe U. S. Office of Naval Research, Grant N00014-13-10451. A. J. Lucas and R. Pinkel acknowledge support from the U. S. Office of Naval Research, Grant N00014-13-1-0489.
    Description: 2018-08-26
    Keywords: Indian Ocean ; Baroclinic flows ; Potential vorticity ; Fronts ; Monsoons ; Oceanic mixed layer
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 5
    Publication Date: 2022-05-25
    Description: © The Author(s), 2016. This is the author's version of the work and is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Ocean Modelling 105 (2016): 44-59, doi:10.1016/j.ocemod.2016.07.002.
    Description: We study the production and dissipation of the eddy kinetic energy (EKE) in a submesoscale eddy field forced with downfront winds using the Process Study Ocean Model (PSOM) with a horizontal grid resolution of 0.5 km. We simulate an idealized 100 m deep mixed-layer front initially in geostrophic balance with a jet in a domain that permits eddies within a range of O(1km–100 km). The vertical eddy viscosities and the dissipation are parameterized using four different subgrid vertical mixing parameterizations: the k−ϵ,k−ϵ, the KPP, and two different constant eddy viscosity and diffusivity profiles with a magnitude of O(10−2m2s−1) in the mixed layer. Our study shows that strong vertical eddy viscosities near the surface reduce the parameterized dissipation, whereas strong vertical eddy diffusivities reduce the lateral buoyancy gradients and consequently the rate of restratification by mixed-layer instabilities (MLI). Our simulations show that near the surface, the spatial variability of the dissipation along the periphery of the eddies depends on the relative alignment of the ageostrophic and geostrophic shear. Analysis of the resolved EKE budgets in the frontal region from the simulations show important similarities between the vertical structure of the EKE budget produced by the k−ϵk−ϵ and KPP parameterizations, and earlier LES studies. Such an agreement is absent in the simulations using constant eddy-viscosity parameterizations.
    Description: This research was supported by the Office of Naval Research Grant (N00014-09-1-0196).
    Description: 2018-07-16
    Keywords: Submesoscale ; Mixed layer ; Dissipation ; Eddies ; Restratification ; Vertical mixing
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
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  • 6
    Publication Date: 2022-05-25
    Description: Author Posting. © American Geophysical Union, 2014. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research: Oceans 119 (2014): 8495–8511, doi:10.1002/2014JC010211.
    Description: Oceanic frontal instabilities are of importance for the vertical exchange of properties in the ocean. Submesoscale, O(1) Rossby number, dynamics are particularly relevant for inducing the vertical (and lateral) flux of buoyancy and tracers in the mixed layer, but how these couple with the stratified pycnocline is less clear. Observations show surface fronts often persist beneath the mixed layer. Here we use idealized, three-dimensional model simulations to show how surface fronts that extend deeper into the pycnocline invoke enhanced vertical fluxes through the coupling of submesoscale and mesoscale instabilities. We contrast simulations in which the front is restricted to the mixed layer with those in which it extends deeper. For the deeper fronts, we examine the effect of density stratification on the vertical coupling. Our results show deep fronts can dynamically couple the mixed layer and pycnocline on time scales that increase with the peak stratification beneath the mixed layer. Eddies in the interior generate skew fluxes of buoyancy and tracer oriented along isopycnals, thus providing an adiabatic pathway for the interior to interact with the mixed layer at fronts. The vertical enhancement of tracer fluxes through the mesoscale-submesoscale coupling described here is thus relevant to the vertical supply of nutrients for phytoplankton in the ocean. A further implication for wind-forced fronts is that the vertical structure of the stream function characterizing the exchange between the interior and the mixed layer exhibits significant qualitative differences compared to a linear combination of existing parameterizations of submesoscale eddies in the mixed layer and mesoscale eddies in the interior. The discrepancies are most severe within the mixed layer suggesting a potential role for Ekman-layer dynamics absent in existing submesoscale parameterizations.
    Description: S.R. and A.T. acknowledge financial support from the National Science Foundation (NSF OCE-0928138) and the Office of Naval Research (ONR N00014-09-1-0196, ONR N00014-12-1-0101). A.M. acknowledges funding from the National Science Foundation (NSF OCE-0928617) and the Office of Naval Research (ONR N00014-12-1-0101).
    Description: 2015-06-11
    Keywords: Submesoscale ; Mixed layer ; Meso-submeso coupling ; Deep fronts
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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  • 7
    Publication Date: 2022-05-25
    Description: Author Posting. © American Meteorological Society, 2015. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Physical Oceanography 45 (2015): 2381–2406, doi:10.1175/JPO-D-14-0086.1.
    Description: While near-inertial waves are known to be generated by atmospheric storms, recent observations in the Kuroshio Front find intense near-inertial internal-wave shear along sloping isopycnals, even during calm weather. Recent literature suggests that spontaneous generation of near-inertial waves by frontal instabilities could represent a major sink for the subinertial quasigeostrophic circulation. An unforced three-dimensional 1-km-resolution model, initialized with the observed cross-Kuroshio structure, is used to explore this mechanism. After several weeks, the model exhibits growth of 10–100-km-scale frontal meanders, accompanied by O(10) mW m−2 spontaneous generation of near-inertial waves associated with readjustment of submesoscale fronts forced out of balance by mesoscale confluent flows. These waves have properties resembling those in the observations. However, they are reabsorbed into the model Kuroshio Front with no more than 15% dissipating or radiating away. Thus, spontaneous generation of near-inertial waves represents a redistribution of quasigeostrophic energy rather than a significant sink.
    Description: “The Study of Kuroshio Ecosystem Dynamics for Sustainable Fisheries (SKED)” supported by MEXT, MIT-Hayashi Seed Fund, ONR (Awards N000140910196 and N000141210101), NSF (Award OCE 0928617, 0928138) for support.
    Description: 2016-03-01
    Keywords: Circulation/ Dynamics ; Frontogenesis/frontolysis ; Fronts ; Internal waves ; Turbulence ; Upwelling/downwelling ; Atm/Ocean Structure/ Phenomena ; Jets
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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  • 8
    Publication Date: 2022-05-25
    Description: Author Posting. © American Geophysical Union, 2018. This article is posted here by permission of [publisher] for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research: Oceans 123 (2018): 6531-6548, doi:10.1029/2017JC013639.
    Description: We consider two factors that affect the mixed layer depth (MLD) and potentially contribute to phytoplankton sustenance over winter—variability of air‐sea fluxes and three‐dimensional processes arising from horizontal density gradients (fronts). The role of these two factors is addressed using several three‐dimensional idealized numerical simulations in a process study ocean model forced with air‐sea fluxes at different temporal averaging frequencies. Results show that in winter, when the average mixed layer is much deeper than the euphotic layer and the period of daylight is short, phytoplankton production is relatively insensitive to high‐frequency variability in air‐sea fluxes. Short‐lived stratification events during light‐limited conditions have very little impact on phytoplankton production. On the other hand, the slumping of fronts shallows the mixed layer in a patchy manner and the associated restratification persists considerably longer than that caused by changes in air‐sea fluxes. Simulations with fronts show that in winter, the average MLD is about 600 m shallower than simulations without fronts. Prior to spring warming, the depth‐integrated phytoplankton concentration in the model with fronts is about twice as large as the case without fronts. Hence, even in winter, restratification by fronts is important for setting the MLD; it increases the residence time of phytoplankton in the euphotic layer and contributes to phytoplankton growth, thereby sustaining phytoplankton populations in winter. Higher model resolution intensifies submesoscale dynamics, leading to stronger restratification, shallower mixed layers, greater variability in the MLD, and more production of phytoplankton.
    Description: National Science Foundation Grant Numbers: OCE-1434512, OCE-1434788
    Description: 2019-03-14
    Repository Name: Woods Hole Open Access Server
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  • 9
    Publication Date: 2022-05-26
    Description: Author Posting. © The Oceanography Society, 2016. This article is posted here by permission of The Oceanography Society for personal use, not for redistribution. The definitive version was published in Oceanography 29, no. 2 (2016): 14–17, doi:10.5670/oceanog.2016.34.
    Description: The Bay of Bengal has a surprisingly large influence on the world. It nurtures the South Asian summer monsoon, a tremendous ocean-atmosphere-land phenomenon that delivers freshwater to more than a third of the human population on this planet. During summer, southwesterly winds gather moisture from the ocean and carry it deep inland over the Indian subcontinent, bringing welcome rains to a parched land. During winter, the winds reverse to northeasterly, and the ocean circulation responds by dispersing the terrestrial freshwater runoff concentrated in the northern part of the bay. This freshwater impacts the ocean’s structure, circulation, and biogeochemistry in numerous ways and, through modification of sea surface temperature, feeds back to influence air-sea fluxes. Because the atmosphere obtains its moisture and heat for convection from the ocean, the interplay between ocean and atmosphere is crucial for the development and sustenance of the monsoon.
    Repository Name: Woods Hole Open Access Server
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  • 10
    Publication Date: 2022-05-26
    Description: Author Posting. © The Oceanography Society, 2016. This article is posted here by permission of The Oceanography Society for personal use, not for redistribution. The definitive version was published in Oceanography 29, no. 2 (2016): 50–61, doi:10.5670/oceanog.2016.38.
    Description: Upper-ocean turbulent heat fluxes in the Bay of Bengal and the Arctic Ocean drive regional monsoons and sea ice melt, respectively, important issues of societal interest. In both cases, accurate prediction of these heat transports depends on proper representation of the small-scale structure of vertical stratification, which in turn is created by a host of complex submesoscale processes. Though half a world apart and having dramatically different temperatures, there are surprising similarities between the two: both have (1) very fresh surface layers that are largely decoupled from the ocean below by a sharp halocline barrier, (2) evidence of interleaving lateral and vertical gradients that set upper-ocean stratification, and (3) vertical turbulent heat fluxes within the upper ocean that respond sensitively to these structures. However, there are clear differences in each ocean’s horizontal scales of variability, suggesting that despite similar background states, the sharpening and evolution of mesoscale gradients at convergence zones plays out quite differently. Here, we conduct a qualitative and statistical comparison of these two seas, with the goal of bringing to light fundamental underlying dynamics that will hopefully improve the accuracy of forecast models in both parts of the world.
    Description: We gratefully acknowledge support from the Office of Naval Research, the National Science Foundation, and the Ocean Mixing and Monsoon (OMM) program of the Monsoon Mission of India.
    Repository Name: Woods Hole Open Access Server
    Type: Article
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