Do Eddies Play a Role in the Momentum Balance of the Leeuwin Current?
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Fronts in the World Ocean's Large Marine Ecosystems. ICES CM 2007
- 1 - This paper can be freely cited without prior reference to the authors International Council ICES CM 2007/D:21 for the Exploration Theme Session D: Comparative Marine Ecosystem of the Sea (ICES) Structure and Function: Descriptors and Characteristics Fronts in the World Ocean’s Large Marine Ecosystems Igor M. Belkin and Peter C. Cornillon Abstract. Oceanic fronts shape marine ecosystems; therefore front mapping and characterization is one of the most important aspects of physical oceanography. Here we report on the first effort to map and describe all major fronts in the World Ocean’s Large Marine Ecosystems (LMEs). Apart from a geographical review, these fronts are classified according to their origin and physical mechanisms that maintain them. This first-ever zero-order pattern of the LME fronts is based on a unique global frontal data base assembled at the University of Rhode Island. Thermal fronts were automatically derived from 12 years (1985-1996) of twice-daily satellite 9-km resolution global AVHRR SST fields with the Cayula-Cornillon front detection algorithm. These frontal maps serve as guidance in using hydrographic data to explore subsurface thermohaline fronts, whose surface thermal signatures have been mapped from space. Our most recent study of chlorophyll fronts in the Northwest Atlantic from high-resolution 1-km data (Belkin and O’Reilly, 2007) revealed a close spatial association between chlorophyll fronts and SST fronts, suggesting causative links between these two types of fronts. Keywords: Fronts; Large Marine Ecosystems; World Ocean; sea surface temperature. Igor M. Belkin: Graduate School of Oceanography, University of Rhode Island, 215 South Ferry Road, Narragansett, Rhode Island 02882, USA [tel.: +1 401 874 6533, fax: +1 874 6728, email: [email protected]]. -
Symmetric Instability in the Gulf Stream
Symmetric instability in the Gulf Stream a, b c d Leif N. Thomas ⇤, John R. Taylor ,Ra↵aeleFerrari, Terrence M. Joyce aDepartment of Environmental Earth System Science,Stanford University bDepartment of Applied Mathematics and Theoretical Physics, University of Cambridge cEarth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology dDepartment of Physical Oceanography, Woods Hole Institution of Oceanography Abstract Analyses of wintertime surveys of the Gulf Stream (GS) conducted as part of the CLIvar MOde water Dynamic Experiment (CLIMODE) reveal that water with negative potential vorticity (PV) is commonly found within the surface boundary layer (SBL) of the current. The lowest values of PV are found within the North Wall of the GS on the isopycnal layer occupied by Eighteen Degree Water, suggesting that processes within the GS may con- tribute to the formation of this low-PV water mass. In spite of large heat loss, the generation of negative PV was primarily attributable to cross-front advection of dense water over light by Ekman flow driven by winds with a down-front component. Beneath a critical depth, the SBL was stably strat- ified yet the PV remained negative due to the strong baroclinicity of the current, suggesting that the flow was symmetrically unstable. A large eddy simulation configured with forcing and flow parameters based on the obser- vations confirms that the observed structure of the SBL is consistent with the dynamics of symmetric instability (SI) forced by wind and surface cooling. The simulation shows that both strong turbulence and vertical gradients in density, momentum, and tracers coexist in the SBL of symmetrically unstable fronts. -
Oceanography and Marine Biology an Annual Review Volume 58
Oceanography and Marine Biology An Annual Review Volume 58 Edited by S. J. Hawkins, A. L. Allcock, A. E. Bates, A. J. Evans, L. B. Firth, C. D. McQuaid, B. D. Russell, I. P. Smith, S. E. Swearer, P. A. Todd First edition published 2021 ISBN: 978-0-367-36794-7 (hbk) ISBN: 978-0-429-35149-5 (ebk) Chapter 4 The Oceanography and Marine Ecology of Ningaloo, A World Heritage Area Mathew A. Vanderklift, Russell C. Babcock, Peter B. Barnes, Anna K. Cresswell, Ming Feng, Michael D. E. Haywood, Thomas H. Holmes, Paul S. Lavery, Richard D. Pillans, Claire B. Smallwood, Damian P. Thomson, Anton D. Tucker, Kelly Waples & Shaun K. Wilson (CC BY-NC-ND 4.0) Oceanography and Marine Biology: An Annual Review, 2020, 58, 143–178 © S. J. Hawkins, A. L. Allcock, A. E. Bates, A. J. Evans, L. B. Firth, C. D. McQuaid, B. D. Russell, I. P. Smith, S. E. Swearer, P. A. Todd, Editors Taylor & Francis THE OCEANOGRAPHY AND MARINE ECOLOGY OF NINGALOO, A WORLD HERITAGE AREA MATHEW A. VANDERKLIFT1, RUSSELL C. BABCOCK2, PETER B. BARNES4, ANNA K. CRESSWELL1,3,5, MING FENG1, MICHAEL D. E. HAYWOOD2, THOMAS H. HOLMES6, PAUL S. LAVERY7, RICHARD D. PILLANS2, CLAIRE B. SMALLWOOD8, DAMIAN P. THOMSON1, ANTON D. TUCKER6, KELLY WAPLES6 & SHAUN K. WILSON6 1CSIRO Oceans & Atmosphere, Indian Ocean Marine Research Centre, Crawley, WA, 6009, Australia 2CSIRO Oceans & Atmosphere, Queensland Biosciences Precinct, St Lucia, QLD, 4067, Australia 3School of Biological Sciences, The University of Western Australia, Crawley, WA, 6009, Australia 4Department of Biodiversity, Conservation and Attractions, -
Ocean and Climate
Ocean currents II Wind-water interaction and drag forces Ekman transport, circular and geostrophic flow General ocean flow pattern Wind-Water surface interaction Water motion at the surface of the ocean (mixed layer) is driven by wind effects. Friction causes drag effects on the water, transferring momentum from the atmospheric winds to the ocean surface water. The drag force Wind generates vertical and horizontal motion in the water, triggering convective motion, causing turbulent mixing down to about 100m depth, which defines the isothermal mixed layer. The drag force FD on the water depends on wind velocity v: 2 FD CD Aa v CD drag coefficient dimensionless factor for wind water interaction CD 0.002, A cross sectional area depending on surface roughness, and particularly the emergence of waves! Katsushika Hokusai: The Great Wave off Kanagawa The Beaufort Scale is an empirical measure describing wind speed based on the observed sea conditions (1 knot = 0.514 m/s = 1.85 km/h)! For land and city people Bft 6 Bft 7 Bft 8 Bft 9 Bft 10 Bft 11 Bft 12 m Conversion from scale to wind velocity: v 0.836 B3/ 2 s A strong breeze of B=6 corresponds to wind speed of v=39 to 49 km/h at which long waves begin to form and white foam crests become frequent. The drag force can be calculated to: kg km m F C A v2 1200 v 45 12.5 C 0.001 D D a a m3 h s D 2 kg 2 m 2 FD 0.0011200 Am 12.5 187.5 A N or FD A 187.5 N m m3 s For a strong gale (B=12), v=35 m/s, the drag stress on the water will be: 2 kg m 2 FD / A 0.00251200 35 3675 N m m3 s kg m 1200 v 35 C 0.0025 a m3 s D Ekman transport The frictional drag force of wind with velocity v or wind stress x generating a water velocity u, is balanced by the Coriolis force, but drag decreases with depth z. -
Chapter 7 Balanced Flow
Chapter 7 Balanced flow In Chapter 6 we derived the equations that govern the evolution of the at- mosphere and ocean, setting our discussion on a sound theoretical footing. However, these equations describe myriad phenomena, many of which are not central to our discussion of the large-scale circulation of the atmosphere and ocean. In this chapter, therefore, we focus on a subset of possible motions known as ‘balanced flows’ which are relevant to the general circulation. We have already seen that large-scale flow in the atmosphere and ocean is hydrostatically balanced in the vertical in the sense that gravitational and pressure gradient forces balance one another, rather than inducing accelera- tions. It turns out that the atmosphere and ocean are also close to balance in the horizontal, in the sense that Coriolis forces are balanced by horizon- tal pressure gradients in what is known as ‘geostrophic motion’ – from the Greek: ‘geo’ for ‘earth’, ‘strophe’ for ‘turning’. In this Chapter we describe how the rather peculiar and counter-intuitive properties of the geostrophic motion of a homogeneous fluid are encapsulated in the ‘Taylor-Proudman theorem’ which expresses in mathematical form the ‘stiffness’ imparted to a fluid by rotation. This stiffness property will be repeatedly applied in later chapters to come to some understanding of the large-scale circulation of the atmosphere and ocean. We go on to discuss how the Taylor-Proudman theo- rem is modified in a fluid in which the density is not homogeneous but varies from place to place, deriving the ‘thermal wind equation’. Finally we dis- cuss so-called ‘ageostrophic flow’ motion, which is not in geostrophic balance but is modified by friction in regions where the atmosphere and ocean rubs against solid boundaries or at the atmosphere-ocean interface. -
Geostrophic Current Component Perpendicular to the Line Connecting a Station Pair - (Indirectly Measuring Current)
ATOC 5051 INTRODUCTION TO PHYSICAL OCEANOGRAPHY Lecture 5 Learning objectives: (1)Know the modern ocean observing system that integrates in situ observations and remote sensing from space (satellite) (2) What is indirect method, why is it necessary, and how does it work? 1. Integrated observing system; 2. Indirect current measurement and application 1. Integrated observing system http://www.pmel.noaa.gov The Pacific TRITON (Triangle Trans-Ocean Buoy Network) TRITON array: east Indian & west Pacific (Japan) TAO Buoy and ship TAO/TRITON buoy data Moored buoy. Example: TAO/TRITON Moored buoy; Tropical Atmosphere Ocean (TAO); TRIangle Trans-Ocean buoy TRITON buoy Network (TRITON). https://www.pmel.noaa.gov/tao/drupal/ani/ ATLAS (Autonomous Temperature Line Acquisition System) Data: https://www.pmel.noaa.gov/tao/dru pal/ani/ The Research Moored Array for African-Asian-Australian Monsoon Analysis and Prediction (RAMA) initiated in ~2004; until march 2019: 90% complete 2011: CINDY/ DYNAMO In-situ: Calibrate Satellite data Piracy Current & future planned IndOOS maps Prioritized actionable recommendations: for next decade (46-33) Prediction and Research Moored Array in the Atlantic (PIRATA) Argo floats T,S PROFILE & CURRENTS AT INTERMEDIATE DEPTH http://www.argo.ucsd.edu/ Pop-up floats: ~10-days pop up, transmit data to ARGO satellite (~6hours up/down); on the way, collect T and S profile (0~2000m); (Surface: 6~12hours) currents at ~1000m (float drift-parking depth; then dive down to 2000m for T&S Profiling). Life cycles; ~150 repeated cycles. ARGO Floats (each 20-30kg) Argo floats T,S PROFILE & CURRENTS AT INTERMEDIATE DEPTH Float distribution as on August 30, 2019 • Gliders (mount sensors, e.g., ADCP); • Propel themselves by changing buoyancy; • Measure current, T, S, dissolved O2, etc.) from deeper ocean to surface; Good for measuring coastal ocean circulation. -
Structure and Transport of the North Atlantic Current in the Eastern
Journal of Geophysical Research: Oceans RESEARCH ARTICLE Structure and Transport of the North Atlantic Current 10.1029/2018JC014162 in the Eastern Subpolar Gyre From Sustained Key Points: Glider Observations • Two branches of the North Atlantic Current (named the Hatton Bank Jet 1 1 1 1 1 1 2 and the Rockall Bank Jet) are revealed L. Houpert , M. E. Inall , E. Dumont , S. Gary , C. Johnson , M. Porter , W. E. Johns , by repeated glider sections and S. A. Cunningham1 • Around 6.3+/-2.1 Sv is carried by the Hatton Bank Jet in summer, 1Scottish Association for Marine Science, Oban, UK, 2Rosenstiel School of Marine and Atmospheric Science, Miami, FL, USA about 40% of the upper-ocean transport by the North Atlantic Current across 59.5N • Thirty percent of the Hatton Bank Abstract Repeat glider sections obtained during 2014–2016, as part of the Overturning in the Subpolar Jet transport is due to the vertical North Atlantic Program, are used to quantify the circulation and transport of North Atlantic Current (NAC) geostrophic shear while the branches over the Rockall Plateau. Using 16 glider sections collected along 58∘N and between 21∘W Hatton-Rockall Basin currents are ∘ mostly barotropic and 15 W, absolute geostrophic velocities are calculated, and subsequently the horizontal and vertical structure of the transport are characterized. The annual mean northward transport (± standard deviation) Correspondence to: is 5.1 ± 3.2 Sv over the Rockall Plateau. During summer (May to October), the mean northward transport is L. Houpert, stronger and reaches 6.7 ± 2.6 Sv. This accounts for 43% of the total NAC transport of upper-ocean waters [email protected] < . -
Lecture 4: OCEANS (Outline)
LectureLecture 44 :: OCEANSOCEANS (Outline)(Outline) Basic Structures and Dynamics Ekman transport Geostrophic currents Surface Ocean Circulation Subtropicl gyre Boundary current Deep Ocean Circulation Thermohaline conveyor belt ESS200A Prof. Jin -Yi Yu BasicBasic OceanOcean StructuresStructures Warm up by sunlight! Upper Ocean (~100 m) Shallow, warm upper layer where light is abundant and where most marine life can be found. Deep Ocean Cold, dark, deep ocean where plenty supplies of nutrients and carbon exist. ESS200A No sunlight! Prof. Jin -Yi Yu BasicBasic OceanOcean CurrentCurrent SystemsSystems Upper Ocean surface circulation Deep Ocean deep ocean circulation ESS200A (from “Is The Temperature Rising?”) Prof. Jin -Yi Yu TheThe StateState ofof OceansOceans Temperature warm on the upper ocean, cold in the deeper ocean. Salinity variations determined by evaporation, precipitation, sea-ice formation and melt, and river runoff. Density small in the upper ocean, large in the deeper ocean. ESS200A Prof. Jin -Yi Yu PotentialPotential TemperatureTemperature Potential temperature is very close to temperature in the ocean. The average temperature of the world ocean is about 3.6°C. ESS200A (from Global Physical Climatology ) Prof. Jin -Yi Yu SalinitySalinity E < P Sea-ice formation and melting E > P Salinity is the mass of dissolved salts in a kilogram of seawater. Unit: ‰ (part per thousand; per mil). The average salinity of the world ocean is 34.7‰. Four major factors that affect salinity: evaporation, precipitation, inflow of river water, and sea-ice formation and melting. (from Global Physical Climatology ) ESS200A Prof. Jin -Yi Yu Low density due to absorption of solar energy near the surface. DensityDensity Seawater is almost incompressible, so the density of seawater is always very close to 1000 kg/m 3. -
Global Ocean Surface Velocities from Drifters: Mean, Variance, El Nino–Southern~ Oscillation Response, and Seasonal Cycle Rick Lumpkin1 and Gregory C
JOURNAL OF GEOPHYSICAL RESEARCH: OCEANS, VOL. 118, 2992–3006, doi:10.1002/jgrc.20210, 2013 Global ocean surface velocities from drifters: Mean, variance, El Nino–Southern~ Oscillation response, and seasonal cycle Rick Lumpkin1 and Gregory C. Johnson2 Received 24 September 2012; revised 18 April 2013; accepted 19 April 2013; published 14 June 2013. [1] Global near-surface currents are calculated from satellite-tracked drogued drifter velocities on a 0.5 Â 0.5 latitude-longitude grid using a new methodology. Data used at each grid point lie within a centered bin of set area with a shape defined by the variance ellipse of current fluctuations within that bin. The time-mean current, its annual harmonic, semiannual harmonic, correlation with the Southern Oscillation Index (SOI), spatial gradients, and residuals are estimated along with formal error bars for each component. The time-mean field resolves the major surface current systems of the world. The magnitude of the variance reveals enhanced eddy kinetic energy in the western boundary current systems, in equatorial regions, and along the Antarctic Circumpolar Current, as well as three large ‘‘eddy deserts,’’ two in the Pacific and one in the Atlantic. The SOI component is largest in the western and central tropical Pacific, but can also be seen in the Indian Ocean. Seasonal variations reveal details such as the gyre-scale shifts in the convergence centers of the subtropical gyres, and the seasonal evolution of tropical currents and eddies in the western tropical Pacific Ocean. The results of this study are available as a monthly climatology. Citation: Lumpkin, R., and G. -
Ch.1: Basics of Shallow Water Fluid ∂
AOS611Chapter1,2/16/16,Z.Liu 1 Ch.1: Basics of Shallow Water Fluid Sec. 1.1: Basic Equations 1. Shallow Water Equations on a Sphere We start with the shallow water fluid of a homogeneous density and focus on the effect of rotation on the motion of the water. Rotation is, perhaps, the most important factor that distinguishes geophysical fluid dynamics from classical fluid dynamics. There are four basic equations involved in a homogeneous fluid system. The first is the mass equation: 1 d u 0 (1.1.1) dt 3 3 where 3 i x j y k z , u3 (u,v, w) . The other three equations are the momentum equations, which, in its 3-dimensional vector form can be written as: du 1 3 2Ù u p g F dt 3 3 (1.1.2) d where u dt t 3 3 On the earth, it is more convenient to cast the equations on the spherical coordinate with ,,r being the longitude, latitude and radians, respectively. That is: Copyright 2013, Zhengyu Liu AOS611Chapter1,2/16/16,Z.Liu 2 1 d 1 u 1 (vcos) w 0 dt rcos r cos r du u 1 p (2 )(v sin wcos ) F dt rcos r cos (1.1.3) dv u wv 1 p (2 )usin F dt rcos r r 2 dw u v 1 p (2 )u cos g Fr dt r cos r r This is a complex set of equations that govern the fluid motion from ripples, turbulence to planetary waves. For the atmosphere and ocean, many approximations can be made. -
UC San Diego UC San Diego Electronic Theses and Dissertations
UC San Diego UC San Diego Electronic Theses and Dissertations Title Phytoplankton in Surface Ocean Fronts : Resolving Biological Dynamics and Spatial Structure Permalink https://escholarship.org/uc/item/61r5x33r Author De Verneil, Alain Joseph Publication Date 2015 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA, SAN DIEGO Phytoplankton in Surface Ocean Fronts: Resolving Biological Dynamics and Spatial Structure A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Oceanography by Alain Joseph de Verneil Committee in charge: Professor Peter J.S. Franks, Chair Professor Jorge Cortés Professor Michael R. Landry Professor Mark D. Ohman Professor Daniel L. Rudnick 2015 Copyright Alain Joseph de Verneil, 2015 All rights reserved. The Dissertation of Alain Joseph de Verneil is approved, and it is acceptable in quality and form for publication on microfilm and electronically: Chair University of California, San Diego 2015 iii DEDICATION To my family, Mama, Papa and Mary-Pat, Christine and Matt, Mamy and Papy, Paul Dano, and Claude duVerlie iv TABLE OF CONTENTS Signature Page .................................................................................................................iii Dedication........................................................................................................................ iv Tables of Contents ........................................................................................................... -
Estimation of Geostrophic Current in the Red Sea Based on Sea Level Anomalies Derived from Extended Satellite Altimetry Data
Ocean Sci., 15, 477–488, 2019 https://doi.org/10.5194/os-15-477-2019 © Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License. Estimation of geostrophic current in the Red Sea based on sea level anomalies derived from extended satellite altimetry data Ahmed Mohammed Taqi1,2, Abdullah Mohammed Al-Subhi1, Mohammed Ali Alsaafani1, and Cheriyeri Poyil Abdulla1 1Department of Marine Physics, King Abdulaziz University, Jeddah, Saudi Arabia 2Department of Marine Physics, Hodeihah University, Hodeihah, Yemen Correspondence: Ahmed Mohammed Taqi ([email protected]) Received: 8 April 2018 – Discussion started: 24 August 2018 Revised: 18 March 2019 – Accepted: 29 March 2019 – Published: 8 May 2019 Abstract. Geostrophic current data near the coast of the Red 1 Introduction Sea have large gaps. Hence, the sea level anomaly (SLA) data from Jason-2 have been reprocessed and extended to- The Red Sea is a narrow semi-enclosed water body that wards the coast of the Red Sea and merged with AVISO lies between the continents of Asia and Africa. It is lo- ◦ ◦ data at the offshore region. This processing has been ap- cated between 12.5–30 N and 32–44 E in a NW–SE ori- plied to build a gridded dataset to achieve the best results entation. Its average width is 220 km and the average depth for the SLA and geostrophic current. The results obtained is 524 m (Patzert, 1974). It is connected at its northern end from the new extended data at the coast are more con- with the Mediterranean Sea through the Suez Canal and at sistent with the observed data (conductivity–temperature– its southern end with the Indian Ocean through the strait depth, CTD) and hence geostrophic current calculation.