Antarctic Sea Ice Control on Ocean Circulation in Present and Glacial Climates
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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]]. -
The Exchange of Water Between Prince William Sound and the Gulf of Alaska Recommended
The exchange of water between Prince William Sound and the Gulf of Alaska Item Type Thesis Authors Schmidt, George Michael Download date 27/09/2021 18:58:15 Link to Item http://hdl.handle.net/11122/5284 THE EXCHANGE OF WATER BETWEEN PRINCE WILLIAM SOUND AND THE GULF OF ALASKA RECOMMENDED: THE EXCHANGE OF WATER BETWEEN PRIMCE WILLIAM SOUND AND THE GULF OF ALASKA A THESIS Presented to the Faculty of the University of Alaska in partial fulfillment of the Requirements for the Degree of MASTER OF SCIENCE by George Michael Schmidt III, B.E.S. Fairbanks, Alaska May 197 7 ABSTRACT Prince William Sound is a complex fjord-type estuarine system bordering the northern Gulf of Alaska. This study is an analysis of exchange between Prince William Sound and the Gulf of Alaska. Warm, high salinity deep water appears outside the Sound during summer and early autumn. Exchange between this ocean water and fjord water is a combination of deep and intermediate advective intrusions plus deep diffusive mixing. Intermediate exchange appears to be an annual phen omenon occurring throughout the summer. During this season, medium scale parcels of ocean water centered on temperature and NO maxima appear in the intermediate depth fjord water. Deep advective exchange also occurs as a regular annual event through the late summer and early autumn. Deep diffusive exchange probably occurs throughout the year, being more evident during the winter in the absence of advective intrusions. ACKNOWLEDGMENTS Appreciation is extended to Dr. T. C. Royer, Dr. J. M. Colonell, Dr. R. T. Cooney, Dr. R. -
A Destabilizing Thermohaline Circulation–Atmosphere–Sea Ice
642 JOURNAL OF CLIMATE VOLUME 12 NOTES AND CORRESPONDENCE A Destabilizing Thermohaline Circulation±Atmosphere±Sea Ice Feedback STEVEN R. JAYNE MIT±WHOI Joint Program in Oceanography, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts JOCHEM MAROTZKE Center for Global Change Science, Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 18 November 1996 and 9 March 1998 ABSTRACT Some of the interactions and feedbacks between the atmosphere, thermohaline circulation, and sea ice are illustrated using a simple process model. A simpli®ed version of the annual-mean coupled ocean±atmosphere box model of Nakamura, Stone, and Marotzke is modi®ed to include a parameterization of sea ice. The model includes the thermodynamic effects of sea ice and allows for variable coverage. It is found that the addition of sea ice introduces feedbacks that have a destabilizing in¯uence on the thermohaline circulation: Sea ice insulates the ocean from the atmosphere, creating colder air temperatures at high latitudes, which cause larger atmospheric eddy heat and moisture transports and weaker oceanic heat transports. These in turn lead to thicker ice coverage and hence establish a positive feedback. The results indicate that generally in colder climates, the presence of sea ice may lead to a signi®cant destabilization of the thermohaline circulation. Brine rejection by sea ice plays no important role in this model's dynamics. The net destabilizing effect of sea ice in this model is the result of two positive feedbacks and one negative feedback and is shown to be model dependent. To date, the destabilizing feedback between atmospheric and oceanic heat ¯uxes, mediated by sea ice, has largely been neglected in conceptual studies of thermohaline circulation stability, but it warrants further investigation in more realistic models. -
The Global Marine Phosphorus Cycle: Sensitivity to Oceanic Circulation
Biogeosciences, 4, 155–171, 2007 www.biogeosciences.net/4/155/2007/ Biogeosciences © Author(s) 2007. This work is licensed under a Creative Commons License. The global marine phosphorus cycle: sensitivity to oceanic circulation C. P. Slomp and P. Van Cappellen Department of Earth Sciences – Geochemistry, Faculty of Geosciences, Utrecht University, P.O. Box 80021, 3508 TA Utrecht, The Netherlands Received: 4 September 2006 – Published in Biogeosciences Discuss.: 5 October 2006 Revised: 8 January 2007 – Accepted: 20 February 2007 – Published: 22 February 2007 Abstract. A new mass balance model for the coupled ma- stand long-term variations in marine biological activity, at- rine cycles of phosphorus (P) and carbon (C) is used to ex- mospheric composition and climate (Holland, 1984; Van amine the relationships between oceanic circulation, primary Cappellen and Ingall, 1996; Petsch and Berner, 1998; Bjer- productivity, and sedimentary burial of reactive P and partic- rum and Canfield, 2002). Important forcings include the sup- ulate organic C (POC), on geological time scales. The model ply of reactive P from the continents, oceanic circulation and explicitly represents the exchanges of water and particulate sea level fluctuations (Follmi,¨ 1996; Compton et al., 2000; matter between the continental shelves and the open ocean, Handoh and Lenton, 2003; Wallmann, 2003; Bjerrum et al., and it accounts for the redox-dependent burial of POC and 2006). the various forms of reactive P (iron(III)-bound P, particu- Upward transport of nutrient-rich water sustains biologi- late organic P (POP), authigenic calcium phosphate, and fish cal activity in marine surface waters. Vertical mixing, how- debris). Steady state and transient simulations indicate that ever, also controls the ventilation of the deeper ocean waters, a slowing down of global ocean circulation decreases pri- which in turn has a major effect on the sedimentary burial mary production in the open ocean, but increases that in the of phosphorus. -
Glacial Ocean Circulation and Stratification Explained by Reduced
Glacial ocean circulation and stratification explained by reduced atmospheric temperature Malte F. Jansena,1 aDepartment of the Geophysical Sciences, The University of Chicago, Chicago, IL 60637 Edited by Mark H. Thiemens, University of California, San Diego, La Jolla, CA, and approved November 7, 2016 (received for review June 27, 2016) Earth’s climate has undergone dramatic shifts between glacial and We test the connection between atmospheric temperature interglacial time periods, with high-latitude temperature changes and ocean circulation and stratification changes, using idealized on the order of 5–10 ◦C. These climatic shifts have been asso- numerical simulations, which allow us to isolate the proposed ciated with major rearrangements in the deep ocean circulation mechanism. We use a coupled ocean–sea-ice model, with atmo- and stratification, which have likely played an important role in spheric temperature, winds, and evaporation–precipitation pre- the observed atmospheric carbon dioxide swings by affecting the scribed as boundary conditions (Materials and Methods). The partitioning of carbon between the atmosphere and the ocean. model uses an idealized continental configuration resembling the The mechanisms by which the deep ocean circulation changed, Atlantic and Southern Oceans, where the most elemental circu- however, are still unclear and represent a major challenge to our lation changes have been inferred (3, 5, 6, 12). understanding of glacial climates. This study shows that vari- ous inferred changes in the deep ocean circulation and stratifica- Results tion between glacial and interglacial climates can be interpreted We first focus on the model’s ability to reproduce key features as a direct consequence of atmospheric temperature differences. -
Ocean Storage
277 6 Ocean storage Coordinating Lead Authors Ken Caldeira (United States), Makoto Akai (Japan) Lead Authors Peter Brewer (United States), Baixin Chen (China), Peter Haugan (Norway), Toru Iwama (Japan), Paul Johnston (United Kingdom), Haroon Kheshgi (United States), Qingquan Li (China), Takashi Ohsumi (Japan), Hans Pörtner (Germany), Chris Sabine (United States), Yoshihisa Shirayama (Japan), Jolyon Thomson (United Kingdom) Contributing Authors Jim Barry (United States), Lara Hansen (United States) Review Editors Brad De Young (Canada), Fortunat Joos (Switzerland) 278 IPCC Special Report on Carbon dioxide Capture and Storage Contents EXECUTIVE SUMMARY 279 6.7 Environmental impacts, risks, and risk management 298 6.1 Introduction and background 279 6.7.1 Introduction to biological impacts and risk 298 6.1.1 Intentional storage of CO2 in the ocean 279 6.7.2 Physiological effects of CO2 301 6.1.2 Relevant background in physical and chemical 6.7.3 From physiological mechanisms to ecosystems 305 oceanography 281 6.7.4 Biological consequences for water column release scenarios 306 6.2 Approaches to release CO2 into the ocean 282 6.7.5 Biological consequences associated with CO2 6.2.1 Approaches to releasing CO2 that has been captured, lakes 307 compressed, and transported into the ocean 282 6.7.6 Contaminants in CO2 streams 307 6.2.2 CO2 storage by dissolution of carbonate minerals 290 6.7.7 Risk management 307 6.2.3 Other ocean storage approaches 291 6.7.8 Social aspects; public and stakeholder perception 307 6.3 Capacity and fractions retained -
Ice Production in Ross Ice Shelf Polynyas During 2017–2018 from Sentinel–1 SAR Images
remote sensing Article Ice Production in Ross Ice Shelf Polynyas during 2017–2018 from Sentinel–1 SAR Images Liyun Dai 1,2, Hongjie Xie 2,3,* , Stephen F. Ackley 2,3 and Alberto M. Mestas-Nuñez 2,3 1 Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China; [email protected] 2 Laboratory for Remote Sensing and Geoinformatics, Department of Geological Sciences, University of Texas at San Antonio, San Antonio, TX 78249, USA; [email protected] (S.F.A.); [email protected] (A.M.M.-N.) 3 Center for Advanced Measurements in Extreme Environments, University of Texas at San Antonio, San Antonio, TX 78249, USA * Correspondence: [email protected]; Tel.: +1-210-4585445 Received: 21 April 2020; Accepted: 5 May 2020; Published: 7 May 2020 Abstract: High sea ice production (SIP) generates high-salinity water, thus, influencing the global thermohaline circulation. Estimation from passive microwave data and heat flux models have indicated that the Ross Ice Shelf polynya (RISP) may be the highest SIP region in the Southern Oceans. However, the coarse spatial resolution of passive microwave data limited the accuracy of these estimates. The Sentinel-1 Synthetic Aperture Radar dataset with high spatial and temporal resolution provides an unprecedented opportunity to more accurately distinguish both polynya area/extent and occurrence. In this study, the SIPs of RISP and McMurdo Sound polynya (MSP) from 1 March–30 November 2017 and 2018 are calculated based on Sentinel-1 SAR data (for area/extent) and AMSR2 data (for ice thickness). -
Chapter 7 Arctic Oceanography; the Path of North Atlantic Deep Water
Chapter 7 Arctic oceanography; the path of North Atlantic Deep Water The importance of the Southern Ocean for the formation of the water masses of the world ocean poses the question whether similar conditions are found in the Arctic. We therefore postpone the discussion of the temperate and tropical oceans again and have a look at the oceanography of the Arctic Seas. It does not take much to realize that the impact of the Arctic region on the circulation and water masses of the World Ocean differs substantially from that of the Southern Ocean. The major reason is found in the topography. The Arctic Seas belong to a class of ocean basins known as mediterranean seas (Dietrich et al., 1980). A mediterranean sea is defined as a part of the world ocean which has only limited communication with the major ocean basins (these being the Pacific, Atlantic, and Indian Oceans) and where the circulation is dominated by thermohaline forcing. What this means is that, in contrast to the dynamics of the major ocean basins where most currents are driven by the wind and modified by thermohaline effects, currents in mediterranean seas are driven by temperature and salinity differences (the salinity effect usually dominates) and modified by wind action. The reason for the dominance of thermohaline forcing is the topography: Mediterranean Seas are separated from the major ocean basins by sills, which limit the exchange of deeper waters. Fig. 7.1. Schematic illustration of the circulation in mediterranean seas; (a) with negative precipitation - evaporation balance, (b) with positive precipitation - evaporation balance. -
Tidal Modulation of Antarctic Ice Shelf Melting Ole Richter1,2, David E
Tidal Modulation of Antarctic Ice Shelf Melting Ole Richter1,2, David E. Gwyther1, Matt A. King2, and Benjamin K. Galton-Fenzi3 1Institute for Marine and Antarctic Studies, University of Tasmania, Private Bag 129, Hobart, TAS, 7001, Australia. 2Geography & Spatial Sciences, School of Technology, Environments and Design, University of Tasmania, Hobart, TAS, 7001, Australia. 3Australian Antarctic Division, Kingston, TAS, 7050, Australia. Correspondence: Ole Richter ([email protected]) This is a non-peer reviewed preprint submitted to EarthArXiv. This preprint has also been submitted to The Cryosphere for peer review. 1 Abstract. Tides influence basal melting of individual Antarctic ice shelves, but their net impact on Antarctic-wide ice-ocean interaction has yet to be constrained. Here we quantify the impact of tides on ice shelf melting and the continental shelf seas 5 by means of a 4 km resolution circum-Antarctic ocean model. Activating tides in the model increases the total basal mass loss by 57 Gt/yr (4 %), while decreasing continental shelf temperatures by 0.04 ◦C, indicating a slightly more efficient conversion of ocean heat into ice shelf melting. Regional variations can be larger, with melt rate modulations exceeding 500 % and temperatures changing by more than 0.5 ◦C, highlighting the importance of capturing tides for robust modelling of glacier systems and coastal oceans. Tide-induced changes around the Antarctic Peninsula have a dipolar distribution with decreased 10 ocean temperatures and reduced melting towards the Bellingshausen Sea and warming along the continental shelf break on the Weddell Sea side. This warming extends under the Ronne Ice Shelf, which also features one of the highest increases in area-averaged basal melting (150 %) when tides are included. -
DESALINATION: Balancing the Socioeconomic Benefits and Environmental Costs
DESALINATION: Balancing the Socioeconomic Benefits and Environmental Costs www.research.natixis.com https://gsh.cib.natixis.com executive summary Chapter 1 Making sense of desalination: technological, financial and economic aspects of desalination assets Chapter 2 Sustainability assessment of desalination assets: recognizing the socioeconomic benefits and mitigating environmental costs of desalination Chapter 3 Desalination sustainability performance scorecard acknowledgements appendix biblioghraphy TABLE OF CONTENTS OF TABLE 1. Making sense of desalination: technological, financial and economic aspects of desalination assets 1. DESALINATION TECHNOLOGIES 2. FINANCIAL AND ECONOMIC ASPECTS OF DESALINATION ASSETS 1.1. AN OVERVIEW OF DESALINATION TECHNOLOGIES 2.1.THE DEVELOPMENT AND FINANCING OF DESALINATION ASSETS Thermal desalination: Multistage Flash Distillation and Multieffect Distillation Building and operating desalination assets: complex and evolving value chain Membrane desalination: Reverse Osmosis Project development models: fine-tuning Hybridization of thermal and the appropriate risk-sharing model membrane desalination Bringing capital to desalination assets: A set of parameters to assess the performance an increasingly strategic issue and efficiency of desalination assets Case study of desalination in Israel: innovative 1.2. A BRIEF HISTORY AND financing schemes achieving some of the GEOGRAPHICAL DISTRIBUTION OF lowest desalinated water costs worldwide DESALINATION TECHNOLOGIES Case study of desalination in Singapore: The market -
Strategies for the Simulation of Sea Ice Organic Chemistry: Arctic Tests and Development
geosciences Article Strategies for the Simulation of Sea Ice Organic Chemistry: Arctic Tests and Development Scott Elliott 1,*, Nicole Jeffery 1, Elizabeth Hunke 1, Clara Deal 2, Meibing Jin 2 ID , Shanlin Wang 1, Emma Elliott Smith 3 and Samantha Oestreicher 4 1 Climate Ocean Sea Ice Modeling (COSIM), Los Alamos National Laboratory, Los Alamos, NM 87545, USA; [email protected] (N.J.); [email protected] (E.H.); [email protected] (S.W.) 2 International Arctic Research Center and University of Alaska, Fairbanks, AK 99775, USA; [email protected] (C.D.), [email protected] (M.J.) 3 Biology Department, University of New Mexico, Albuquerque, NM 87131, USA; [email protected] 4 Applied Mathematics, University of Minnesota, Minneapolis, MN 55455, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-505-606-0118 Received: 11 April 2017; Accepted: 21 June 2017; Published: 14 July 2017 Abstract: A numerical mechanism connecting ice algal ecodynamics with the buildup of organic macromolecules is tested within modeled pan-Arctic brine channels. The simulations take place offline in a reduced representation of sea ice geochemistry. Physical driver quantities derive from the global sea ice code CICE, including snow cover, thickness and internal temperature. The framework is averaged over ten boreal biogeographic zones. Computed nutrient-light-salt limited algal growth supports grazing, mortality and carbon flow. Vertical transport is diffusive but responds to pore structure. Simulated bottom layer chlorophyll maxima are reasonable, though delayed by about a month relative to observations due to uncertainties in snow variability. Upper level biota arise intermittently during flooding events. -
Distribution and Abundance of Select Trace Metals in Chukchi and Beaufort Sea Ice
Distribution and Abundance of Select Trace Metals in Chukchi and Beaufort Sea Ice Principal Investigators Robert Rember1 Ana M. Aguilar-Islas2 Graduate Student Vincent Domena2 1International Arctic Research Center, University of Alaska Fairbanks 2College of Fisheries and Ocean Sciences, University of Alaska Fairbanks FINAL REPORT December 2016 OCS Study BOEM 2016-079 Contact Information: email: [email protected] phone: 907.474.6782 fax: 907.474.7204 Coastal Marine Institute College of Fisheries and Ocean Sciences University of Alaska Fairbanks P. O. Box 757220 Fairbanks, AK 99775-7220 This study was funded in part by the U.S. Department of the Interior, Bureau of Ocean Energy Management (BOEM) through Cooperative Agreement M13AC00002 between BOEM, Alaska Outer Continental Shelf Region, and the University of Alaska Fairbanks. This report, OCS Study BOEM 2016-079, is available through the Coastal Marine Institute, select federal depository libraries and can be accessed electronically at http://www.boem.gov/Alaska-Scientific-Publications. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the opinions or policies of the U.S. Government. Mention of trade names or commercial products does not constitute their endorsement by the U.S. Government. TABLE OF CONTENTS LIST OF FIGURES ..................................................................................................................................... iii LIST OF TABLES ......................................................................................................................................