And Circulation at the Aguihas Retroflection
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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]]. -
Storm Waves Focusing and Steepening in the Agulhas Current: Satellite Observations and Modeling T ⁎ Y
Remote Sensing of Environment 216 (2018) 561–571 Contents lists available at ScienceDirect Remote Sensing of Environment journal homepage: www.elsevier.com/locate/rse Storm waves focusing and steepening in the Agulhas current: Satellite observations and modeling T ⁎ Y. Quilfena, , M. Yurovskayab,c, B. Chaprona,c, F. Ardhuina a IFREMER, Univ. Brest, CNRS, IRD, Laboratoire d'Océanographie Physique et Spatiale (LOPS), Brest, France b Marine Hydrophysical Institute RAS, Sebastopol, Russia c Russian State Hydrometeorological University, Saint Petersburg, Russia ARTICLE INFO ABSTRACT Keywords: Strong ocean currents can modify the height and shape of ocean waves, possibly causing extreme sea states in Extreme waves particular conditions. The risk of extreme waves is a known hazard in the shipping routes crossing some of the Wave-current interactions main current systems. Modeling surface current interactions in standard wave numerical models is an active area Satellite altimeter of research that benefits from the increased availability and accuracy of satellite observations. We report a SAR typical case of a swell system propagating in the Agulhas current, using wind and sea state measurements from several satellites, jointly with state of the art analytical and numerical modeling of wave-current interactions. In particular, Synthetic Aperture Radar and altimeter measurements are used to show the evolution of the swell train and resulting local extreme waves. A ray tracing analysis shows that the significant wave height variability at scales < ~100 km is well associated with the current vorticity patterns. Predictions of the WAVEWATCH III numerical model in a version that accounts for wave-current interactions are consistent with observations, al- though their effects are still under-predicted in the present configuration. -
Johann R.E. Lutjeharms the Agulhas Current
330 Subject index Johann R.E. Lutjeharms The Agulhas Current 330 SubjectJ.R.E. index Lutjeharms The Agulhas Current with 187 figures, 8 in colour 123 330 Subject index Professor Johann R.E. Lutjeharms Department of Oceanography University of Cape Town Rondebosch 7700 South Africa ISBN-10 3-540-42392-3 Springer Berlin Heidelberg New York ISBN-13 978-3-540-42392-8 Springer Berlin Heidelberg New York Library of Congress Control Number: 2006926927 This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer-Verlag. Violations are liable to prosecution under the German Copyright Law. Springer is a part of Springer Science+Business Media springer.com © Springer-Verlag Berlin Heidelberg 2006 Printed in Germany The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Typesetting: Camera-ready by Marja Wren-Sargent, ADU, University of Cape Town Figures: Anne Westoby, Cape Town Satellite images: Tarron Lamont and Christo Whittle, MRSU, University of Cape Town Technical support: Rene Navarro, ADU, University of Cape Town Cover design: E. -
The Structure and Transport of the Agulhas Return Current
The Structure and Transport of the Agulhas Return Current Isabelle Jane Ansorge Submitted in fulfillment of the requirements of the Master of Science degree Department of Oceanography University of Cape Town 1996 University of Cape Town The copyright of this thesis vests in the author. No quotation from it or information derived from it is to be published without full acknowledgement of the source. The thesis is to be used for private study or non- commercial research purposes only. Published by the University of Cape Town (UCT) in terms of the non-exclusive license granted to UCT by the author. University of Cape Town I ABSTRACT The Agulhas Current flows along the eastern coast of southern Africa as one of the largest western boundary currents in the world's ocean. On overshooting the southern tip of Africa at approximately 20°E, a retroflection loop is formed that causes the current to double back on itself and to fonn the easterly flowing Agulhas Return Current. No focussed investigation to establish the hydrography of this imponant component of global ocean circulation has to date been carried out. To trace the Agulhas Return Current's passage eastwards into the South Indian Ocean, data collected from six CTD hydrographic cruises; AJAX, ARC, SCARC, Marathon, Discovery 164 and SUZIL, as well as from three XBT temperature cruises,· Marion 83, Gallieni 72 and FIBEX, have been analysed. It is shown that the Agulhas Return Current initially flows zonally from 20°-25°E at a latitude approximately 39°30'-40°30'S before forming a planetary wave over the Agulhas Plateau between 25°-28°E. -
The Brazil Current Transport South of 23°S
Deep-Sea Research, Vol. 36, No. 4, pp. 639-646, 1989. 0198-0149/89 $3.00 + 0.00 Printed in Great Britain. © 1989 Pergamon Press plc. NOTE The Brazil Current transport south of 23°S LOTHAR STRAMMA* (Received 26 August 1988; in revised form 15 November 1988; accepted 30 November 1988) Al~trnet--Geostrophic computations from historical data across the Brazil Current at 23 ° and 24°S lead to transports of 10.2 and 9.6 Sv, respectively. Data exist from all four seasons at about 24°S, but no seasonal signal can be seen in the baroclinic transport of the Brazil Current there. At 33"S the Brazil Current transport is estimated to be 17.5 Sv. A recirculation cell of 7.5 Sv is found in the western South Atlantic south of 280S. The major problem in computing transport of the Brazil Current is not with determining the correct reference depth, but with the Brazil Current flowing partially over the shelf and therefore not being sampled completely by deep-water hydrographic stations. As long as the vertical distribution of water masses is taken into account for choosing a reference depth, geostrophic computations lead to results consistent with previous estimates. INTRODUCTION Tim Brazil Current has long been known to transport substantially less water than the Gulf Stream (STOMMEL, 1957), its counterpart in the North Atlantic, and, compared to the Gulf Stream, the Brazil Current has been sampled to a much lesser extent. Most transport estimates for the Brazil Current have been in two regions: near Rio de Janeiro and in the Brazil-Falkland Confluence Zone. -
Joint Geological Survey/University of Cape Town MARINE GEOSCIENCE UNIT TECHNICAL ^REPORT NO. 13 PROGRESS REPORTS for the YEARS 1
Joint Geological Survey/University of Cape Town MARINE GEOSCIENCE UNIT TECHNICAL ^REPORT NO. 13 PROGRESS REPORTS FOR THE YEARS 1981-1982 Marine Geoscience Group Department of Geology University of Cape Town December 1982 NGU-Tfc—Kh JOINT GEOLOGICAL SURVEY/UNIVERSITY OF CAPE TOWN MARINE GEOSCIENCE UNIT TECHNICAL REPORT NO. 13 PROGRESS REPORTS FOR THE YEARS 1981-1982 Marine Geoscience Group Department of Geology University of Cape Town December 1982 The Joint Geological Survey/University of Cape Town Marine Geoscience Unit is jointly funded by the two parent organizations to promote marine geoscientific activity in South Africa. The Geological Survey Director, Mr L.N.J. Engelbrecht, and the University Research Committee are thanked for their continued generous financial and technical support for this work. The Unit was established in 1975 by the amalgamation of the Marine Geology Programme (funded by SANCOR until 1972) and the Marine Geophysical Unit. Financial ?nd technical assistance from the South African National Committee for Oceanographic Research, and the National Research Institute for Oceanology (Stellenbosch) are also gratefully acknowledged. It is the policy of the Geological Survey and the University of Cape Town that the data obtained may be presented in the form of theses for higher degrees and that completed projects shall be published without delay in appropriate media. The data and conclusions contained in this report are made available for the information of the international scientific community with tl~e request that they be not published in any manner without written permission. CONTENTS Page INTRODUCTION by R.V.Dingle i PRELIMINARY REPORT ON THE BATHYMETRY OF PART OF 1 THE TRANSKEI BASIN by S.H. -
Future Changes to the Upper Ocean Western Boundary Currents Across Two Generations of Climate Models Alex Sen Gupta1,2,3*, Annette Stellema1,2,3, Gabriel M
www.nature.com/scientificreports OPEN Future changes to the upper ocean Western Boundary Currents across two generations of climate models Alex Sen Gupta1,2,3*, Annette Stellema1,2,3, Gabriel M. Pontes4, Andréa S. Taschetto1,2, Adriana Vergés3,5 & Vincent Rossi6 Western Boundary Currents (WBCs) are important for the oceanic transport of heat, dissolved gases and nutrients. They can afect regional climate and strongly infuence the dispersion and distribution of marine species. Using state-of-the-art climate models from the latest and previous Climate Model Intercomparison Projects, we evaluate upper ocean circulation and examine future projections, focusing on subtropical and low-latitude WBCs. Despite their coarse resolution, climate models successfully reproduce most large-scale circulation features with ensemble mean transports typically within the range of observational uncertainty, although there is often a large spread across the models and some currents are systematically too strong or weak. Despite considerable diferences in model structure, resolution and parameterisations, many currents show highly consistent projected changes across the models. For example, the East Australian Current, Brazil Current and Agulhas Current extensions are projected to intensify, while the Gulf Stream, Indonesian Throughfow and Agulhas Current are projected to weaken. Intermodel diferences in most future circulation changes can be explained in part by projected changes in the large-scale surface winds. In moving to the latest model generation, despite structural model advancements, we fnd little systematic improvement in the simulation of ocean transports nor major diferences in the projected changes. Anthropogenic climate change manifests as increases in surface temperature and sea level, rainfall distribution changes and increasing frequency and intensity of certain extreme events1. -
Mapping Climatological Seasonal Variations of Surface Currents in the Tropical Atlantic Using Ship Drifts
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 91, NO. C9, PAGES 10,537-10,550, SEPTEMBER 15, 1986 Mapping Climatological Seasonal Variations of Surface Currents in the Tropical Atlantic Using Ship Drifts PHILIP L. RICHARDSON AND DAVID WALSH Woods Hole Oceanographic Institution, Woods Hole, Massachusetts The seasonal variability of current velocities in the tropical Atlantic was studied by grouping ship drift velocity observations into 2ø x 5ø boxes and calculating monthly mean velocity values. These values were used to calculate and map the annual mean velocity, the seasonal variation about the mean, the annual and semiannual harmonics, and the first two empirical orthogonal functions (EOFs). The seasonal variation is primarily zonal in the equatorial band and in the North Equatorial Countercurrent (NECC) and primarily alongshore near the coast of South America. Maxima of seasonal variation of 23 cm/s are centered in the NECC near 6øN, 42.5øW and in the Gulf of Guinea near 2øN, 7.5øW. Most (-80%) of the variance in the NECC and along the western boundary of the area studied has an annual period; most of the variance along the equator in the mid-Atlantic has a semiannual period. Over the whole region, 49% of the seasonalvariance is explained by the annual harmonic, and 69% is explained by a combination of the annual and semiannual harmonics. The second EOF contains 29% of the variance of the data set and shows a simultaneousspeeding (slowing) of the major equatorial currents (the South Equatorial Current (SEC), the North Brazil Current, the NECC, and the Guinea Current) along their principal axes of variation with a concurrent slowing (speeding) of the Guyana Current and the Brazil Current. -
Transport Variability of the Brazil Current from Observations and a Data Assimilation Model
Ocean Sci., 14, 417–436, 2018 https://doi.org/10.5194/os-14-417-2018 © Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License. Transport variability of the Brazil Current from observations and a data assimilation model Claudia Schmid1 and Sudip Majumder1,2 1National Oceanic and Atmospheric Administration, Atlantic Oceanographic and Meteorological Laboratory, Miami, Florida, USA 2Cooperative Institute for Marine and Atmospheric Studies, University of Miami, Miami, FL, USA Correspondence: Claudia Schmid ([email protected]) Received: 6 July 2017 – Discussion started: 4 August 2017 Revised: 1 March 2018 – Accepted: 14 May 2018 – Published: 7 June 2018 Abstract. The Brazil Current transports from observations the meridional transport and the sea level pressure explain and the Hybrid Coordinate Model (HYCOM) model are ana- 36 and 15 % of the covariance, respectively. Overall, the re- lyzed to improve our understanding of the current’s structure sults indicate that SAM, SASD, and El Niño–Southern Os- and variability. A time series of the observed transport is de- cillation have an influence on the transport of the Brazil Cur- rived from a three-dimensional field of the velocity in the rent. South Atlantic covering the years 1993 to 2015 (hereinafter called Argo & SSH). The mean transports of the Brazil Cur- rent increases from 3.8 ± 2.2 Sv (1 Sv is 106 m3 s−1) at 25◦ S to 13.9 ± 2.6 Sv at 32◦ S, which corresponds to a mean 1 Introduction slope of 1.4 ± 0.4 Sv per degree. Transport estimates derived from HYCOM fields are somewhat higher (5.2 ± 2.7 and The circulation in the South Atlantic has been studied exten- 18.7 ± 7.1 Sv at 25 and 32◦ S, respectively) than those from sively because it is an important part of the Atlantic Merid- Argo & SSH, but these differences are small when compared ional Overturning Circulation, which consists of a northward with the standard deviations. -
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. -
International Ocean Discovery Program Expedition 361 Preliminary Report South African Climates (Agulhas LGM Density Profile)
International Ocean Discovery Program Expedition 361 Preliminary Report South African Climates (Agulhas LGM Density Profile) 30 January–31 March 2016 Ian R. Hall, Sidney R. Hemming, Leah J. LeVay, and the Expedition 361 Scientists Publisher’s notes Core samples and the wider set of data from the science program covered in this report are under moratorium and accessible only to Science Party members until 30 September 2017. This publication was prepared by the JOIDES Resolution Science Operator (JRSO) at Texas A&M University (TAMU) as an account of work performed under the International Ocean Discovery Pro- gram (IODP). Funding for IODP is provided by the following international partners: National Science Foundation (NSF), United States Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan European Consortium for Ocean Research Drilling (ECORD) Ministry of Science and Technology (MOST), People’s Republic of China Korea Institute of Geoscience and Mineral Resources (KIGAM) Australia-New Zealand IODP Consortium (ANZIC) Ministry of Earth Sciences (MoES), India Coordination for Improvement of Higher Education Personnel, Brazil (CAPES) Portions of this work may have been published in whole or in part in other International Ocean Discovery Program documents or publications. Disclaimer Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the participating agencies, TAMU, or Texas A&M Research Foundation. Copyright Except where otherwise noted, this work is licensed under a Creative Commons Attribution License. Unrestricted use, distribution, and reproduction is permitted, provided the original author and source are credited. Citation Hall, I.R., Hemming, S.R., LeVay, L.J., and the Expedition 361 Scientists, 2016.