Arctic and Antarctic Sea Ice Change: Contrasts, Commonalities, and Causes
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The Antarctic Coastal Current in the Bellingshausen Sea
The Cryosphere, 15, 4179–4199, 2021 https://doi.org/10.5194/tc-15-4179-2021 © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License. The Antarctic Coastal Current in the Bellingshausen Sea Ryan Schubert1, Andrew F. Thompson3, Kevin Speer1, Lena Schulze Chretien4, and Yana Bebieva1,2 1Geophysical Fluid Dynamics Institute, Florida State University, Tallahassee, Florida 32306, USA 2Department of Scientific Computing, Florida State University, Tallahassee, Florida 32306, USA 3Environmental Science and Engineering, California Institute of Technology, Pasadena, CA 91125, USA 4Department of Biology and Marine Science, Marine Science Research Institute, Jacksonville University, Jacksonville, Florida, USA Correspondence: Ryan Schubert ([email protected]) Received: 4 February 2021 – Discussion started: 19 February 2021 Revised: 20 July 2021 – Accepted: 21 July 2021 – Published: 1 September 2021 Abstract. The ice shelves of the West Antarctic Ice Sheet 1 Introduction experience basal melting induced by underlying warm, salty Circumpolar Deep Water. Basal meltwater, along with runoff from ice sheets, supplies fresh buoyant water to a circula- The Antarctic continental slope in West Antarctica, spanning tion feature near the coast, the Antarctic Coastal Current the West Antarctic Peninsula (WAP) to the western Amund- (AACC). The formation, structure, and coherence of the sen Sea, is characterized by a shoaling of the subsurface tem- AACC has been well documented along the West Antarc- perature maximum, which allows warm, salty Circumpolar tic Peninsula (WAP). Observations from instrumented seals Deep Water (CDW) greater access to the continental shelf. collected in the Bellingshausen Sea offer extensive hydro- This leads to an increase in the oceanic heat content over the graphic coverage throughout the year, providing evidence of shelf in this region compared to other Antarctic shelf seas the continuation of the westward flowing AACC from the (Schmidtko et al., 2014). -
Modeling Global Sea Ice with a Thickness and Enthalpy Distribution Model in Generalized Curvilinear Coordinates
MAY 2003 ZHANG AND ROTHROCK 845 Modeling Global Sea Ice with a Thickness and Enthalpy Distribution Model in Generalized Curvilinear Coordinates JINLUN ZHANG AND D. A. ROTHROCK Polar Science Center, Applied Physics Laboratory, College of Ocean and Fishery Sciences, University of Washington, Seattle, Washington (Manuscript received 30 January 2002, in ®nal form 10 September 2002) ABSTRACT A parallel ocean and ice model (POIM) in generalized orthogonal curvilinear coordinates has been developed for global climate studies. The POIM couples the Parallel Ocean Program (POP) with a 12-category thickness and enthalpy distribution (TED) sea ice model. Although the POIM aims at modeling the global ocean and sea ice system, the focus of this study is on the presentation, implementation, and evaluation of the TED sea ice model in a generalized coordinate system. The TED sea ice model is a dynamic thermodynamic model that also explicitly simulates sea ice ridging. Using a viscous plastic rheology, the TED model is formulated such that all the metric terms in generalized curvilinear coordinates are retained. Following the POP's structure for parallel computation, the TED model is designed to be run on a variety of computer architectures: parallel, serial, or vector. When run on a computer cluster with 10 parallel processors, the parallel performance of the POIM is close to that of a corresponding POP ocean-only model. Model results show that the POIM captures the major features of sea ice motion, concentration, extent, and thickness in both polar oceans. The results are in reasonably good agreement with buoy observations of ice motion, satellite observations of ice extent, and submarine observations of ice thickness. -
Federal Register/Vol. 86, No. 147/Wednesday, August 4, 2021
Federal Register / Vol. 86, No. 147 / Wednesday, August 4, 2021 / Proposed Rules 41917 Bureau at (202) 418–0530 (VOICE), (202) Community Channel No. (1) Electronically: Go to the Federal 418–0432 (TTY). eRulemaking Portal: http:// This document does not contain www.regulations.gov. In the Search box, information collection requirements ***** enter FWS–HQ–ES–2021–0043, which subject to the Paperwork Reduction Act is the docket number for this of 1995, Public Law 104–13. In addition, NEVADA rulemaking. Then, click on the Search therefore, it does not contain any button. On the resulting page, in the proposed information collection burden ***** Search panel on the left side of the ‘‘for small business concerns with fewer Henderson ............................ 24 screen, under the Document Type than 25 employees,’’ pursuant to the heading, check the Proposed Rule box to Small Business Paperwork Relief Act of ***** locate this document. You may submit 2002, Public Law 107–198, see 44 U.S.C. a comment by clicking on ‘‘Comment.’’ 3506(c)(4). Provisions of the Regulatory [FR Doc. 2021–16589 Filed 8–3–21; 8:45 am] (2) By hard copy: Submit by U.S. mail Flexibility Act of 1980, 5 U.S.C. 601– BILLING CODE 6712–01–P to: Public Comments Processing, Attn: 612, do not apply to this proceeding. FWS–HQ–ES–2021–0043, U.S. Fish and Members of the public should note Wildlife Service, MS: PRB/3W, 5275 that all ex parte contacts are prohibited DEPARTMENT OF THE INTERIOR Leesburg Pike, Falls Church, VA 22041– from the time a Notice of Proposed 3803. -
Unprecedented Decline of Arctic Sea Ice out Ow in 2018
Unprecedented decline of Arctic sea ice outow in 2018 Hiroshi Sumata ( [email protected] ) Norwegian Polar Institute https://orcid.org/0000-0002-2832-2875 Laura de Steur Norwegian Polar Institute Sebastian Gerland Norwegian Polar Institute Dmitry Divine Norwegian Polar Institute Olga Pavlova Norwegian Polar Institute Article Keywords: Sea Ice Export, Climate and Deep Water Formation, Anomalous Atmospheric Circulation, Freshwater Cycle, Ice Thinning Posted Date: May 12th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-376386/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License 1 Unprecedented decline of Arctic sea ice outflow in 2018 2 3 4 5 Hiroshi Sumata1*, Laura de Steur1, Sebastian Gerland1, Dmitry Divine1, Olga Pavlova1 6 1Norwegian Polar Institute, Fram Centre, Tromsø, Norway 7 8 9 * Correspondence to: Hiroshi Sumata ([email protected]) 10 11 12 13 14 15 16 17 Abstract 18 19 Fram Strait is the major gateway connecting the Arctic Ocean and North Atlantic Ocean, where nearly 90% 20 of the sea ice export from the Arctic Ocean takes place. The exported sea ice is a large source of freshwater 21 to the Nordic Seas and Subpolar North Atlantic, thereby preconditioning European climate and deep water 22 formation in the downstream North Atlantic Ocean. Here we show that in 2018, the ice export through Fram 23 Strait showed an unprecedented decline since the early 1990s. The 2018 ice export was reduced to less than 24 40% relative to that between 2000 and 2017, and amounted to just 25% of the 1990s. -
Variability in Cenozoic Sedimentation Along the Continental Rise of the Bellingshausen Sea, West Antarctica ⁎ Carsten Scheuer A, , Karsten Gohl A, Robert D
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Electronic Publication Information Center Marine Geology 227 (2006) 279–298 www.elsevier.com/locate/margeo Variability in Cenozoic sedimentation along the continental rise of the Bellingshausen Sea, West Antarctica ⁎ Carsten Scheuer a, , Karsten Gohl a, Robert D. Larter b, Michele Rebesco c, Gleb Udintsev d a Alfred Wegener Institute for Polar and Marine Research (AWI), Postfach 120161, D-27515, Bremerhaven, Germany b British Antarctic Survey (BAS), High Cross, Madingley Road, Cambridge CB3 OET, UK c Istituto Nazionale di Oceanografia e di Geofisica Sperimentale (OGS), Borgo Grotta Gigante 42/C, 34010 Sconico (TS), Italy d Vernadsky Institute of Geochemistry and Analytical Chemistry, Russian Academy of Sciences, 19, Kosygin Str, 117975 Moscow, Russia Received 29 September 2004; received in revised form 16 December 2005; accepted 21 December 2005 Abstract Seismic reflection profiles, bathymetric and magnetic data collected along and across the continental margin of the Bellingshausen Sea provide new constraints and interpretations of the oceanic basement structure and Cenozoic glacial history of West Antarctica. Evidence for tectonic boundaries that lie perpendicular to the margin has been identified on the basis of one previously unpublished along-slope multichannel seismic reflection profile. By combining several magnetic data sets, we determined basement ages and verified the positions of possible fracture zones, enabling us to improve previous tectonic and stratigraphic models. We establish three main sediment units on the basis of one seismic along-slope profile and by correlation to the continental shelf via one cross-slope profile. We interpret a lowermost unit, Be3 (older then 9.6 Ma), as representing a long period of slow accumulation of mainly turbiditic sediments. -
Antarctic Climate and Sea Ice Variability – a Brief Review Marilyn Raphael UCLA Geography
Antarctic Climate and Sea Ice Variability – a Brief Review Marilyn Raphael UCLA Geography WRCP Workshop on Seasonal to Multi- Decadal Predictability of Polar Climate Mean annual precipitation produced by NCEP2 for the years 1979–99 (mm yr21water equivalent). Bromwich et al, 2004 A significant upward trend 11.3 to 11.7 mm yr22 for 1979–99 is found from retrieved and forecast Antarctic precipitation over the continent. (a) Monthly and (b) annual time series for the modeled precipitation over all of Antarctica. Bromwich et al, 2004 Spatial pattern of temperature trends (degrees Celsius per decade) from reconstruction using infrared (TIR) satellite data. a, Mean annual trends for 1957–2006; b, Mean annual trends for 1969–2000, c–f, Seasonal trends for 1957–2006: winter (June, July, August; c); spring (September, October, November; d); summer (December, January, February; e); autumn (March, April, May; f). Over the long term (150 years) Antarctica has been warming, recent cooling trends in the 1990s attributed to positive trend in the SAM offset this warming. (Schneider et al, 2006) – ice cores Warming of Antarctica extends beyond the Antarctic Peninsula includes most of west Antarctica. Except in autumn, warming is apparent across most of the continent but is significant only over west Antarctica including the Peninsula (Steig et al, 2009). 1957 – 2006 reconstruction from satellite data. Steig et al, 2009 Steig et al, 2009 – reconstruction based on satellite and station data annual warming of 0.18C per decade for 1957 – 2006; winter and spring leading. Chapman and Walsh, 2007 – reconstruction based on station data and oceanic records 1950-2002: warming across most of West Antarctica Monaghan et al, 2009 – reconstruction 190-2005: warming across West Antarctica in all seasons; significant in spring and summer Trends are strongly seasonal. -
Ice Core Records of 20Th Century Sea Ice Decline in the Bellingshausen Sea, Geophysical Research Letters, Submitted
R. Röthlisberger and N. Abram Abram, N., McConnell, J.R., Thomas, E.R., Mulvaney, R. and Aristarain, A.J., 2008: Ice core records of 20th century sea ice decline in the Bellingshausen Sea, Geophysical Research Letters, submitted. Abram, N., Mulvaney, R., Wolff, E.W. and Mudelsee, M., 2007: Ice core records as sea ice proxies: an evaluation from the Weddell Sea region of Antarctica, Journal of Geophysical Research, 112: D15101, doi:15110.11029/12006JD008139. Castebrunet, H., Genthon, C. and Martinerie, P., 2006: Sulfur cycle at Last Glacial Maximum: Model results versus Antarctic ice core data, Geophysical Research Letters, 33: L22711, doi:10.1029/2006GL027681. Crosta, X., Sturm, A., Armand, L. and Pichon, J.J., 2004: Late Quaternary sea ice history in the Indian sector of the Southern Ocean as recorded by diatom assemblages, Marine Micropaleontology, 50: 209-223. Curran, M.A.J. and Jones, G.B., 2000: Dimethyl sulfide in the Southern Ocean: Seasonality and flux, Journal of Geophysical Research, 105: 20451-20459. Curran, M.A.J., van Ommen, T.D., Morgan, V.I., Phillips, K.L. and Palmer, A.S., 2003: Ice core evidence for Antarctic sea ice decline since the 1950s, Science, 302: 1203-1206. Foster, A.F.M., Curran, M.A.J., Smith, B.T., van Ommen, T.D. and Morgan, V.I., 2006: Covariation of sea ice and methanesulphonic acid in Wilhelm II Land, East Antarctica, Annals of Glaciology, 44: 429-432. Fundel, F., Fischer, H., Weller, R., Traufetter, F., Oerter, H. and Miller, H., 2006: Influence of large-scale teleconnection patterns on methane sulfonate ice core records in Dronning Maud Land, Journal of Geophysical Research, 111: (D04103), doi:10.1029/2005JD005872. -
Towards Ice-Core-Based Synoptic Reconstructions of West Antarctic Climate with Artificial Neural Networks
INTERNATIONAL JOURNAL OF CLIMATOLOGY Int. J. Climatol. 25: 581–610 (2005) Published online in Wiley InterScience (www.interscience.wiley.com). DOI: 10.1002/joc.1143 TOWARDS ICE-CORE-BASED SYNOPTIC RECONSTRUCTIONS OF WEST ANTARCTIC CLIMATE WITH ARTIFICIAL NEURAL NETWORKS DAVID B. REUSCH,a,* BRUCE C. HEWITSONb and RICHARD B. ALLEYa a Department of Geosciences and EMS Environment Institute, The Pennsylvania State University, University Park, PA 16802 USA b Department of Environmental and Geographical Sciences, University of Cape Town, Private Bag, Rondebosch 7701, South Africa Received 9 March 2004 Revised 22 August 2004 Accepted 12 November 2004 ABSTRACT Ice cores have, in recent decades, produced a wealth of palaeoclimatic insights over widely ranging temporal and spatial scales. Nonetheless, interpretation of ice-core-based climate proxies is still problematic due to a variety of issues unrelated to the quality of the ice-core data. Instead, many of these problems are related to our poor understanding of key transfer functions that link the atmosphere to the ice. This study uses two tools from the field of artificial neural networks (ANNs) to investigate the relationship between the atmosphere and surface records of climate in West Antarctica. The first, self-organizing maps (SOMs), provides an unsupervised classification of variables from the mid- troposphere (700 hPa temperature, geopotential height and specific humidity) into groups of similar synoptic patterns. An SOM-based climatology at annual resolution (to match ice-core data) has been developed for the period 1979–93 based on the European Centre for Medium-Range Weather Forecasts (ECMWF) 15-year reanalysis (ERA-15) dataset. This analysis produced a robust mapping of years to annual-average synoptic conditions as generalized atmospheric patterns or states. -
Natural Variability of the Arctic Ocean Sea Ice During the Present Interglacial
Natural variability of the Arctic Ocean sea ice during the present interglacial Anne de Vernala,1, Claude Hillaire-Marcela, Cynthia Le Duca, Philippe Robergea, Camille Bricea, Jens Matthiessenb, Robert F. Spielhagenc, and Ruediger Steinb,d aGeotop-Université du Québec à Montréal, Montréal, QC H3C 3P8, Canada; bGeosciences/Marine Geology, Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, 27568 Bremerhaven, Germany; cOcean Circulation and Climate Dynamics Division, GEOMAR Helmholtz Centre for Ocean Research, 24148 Kiel, Germany; and dMARUM Center for Marine Environmental Sciences and Faculty of Geosciences, University of Bremen, 28334 Bremen, Germany Edited by Thomas M. Cronin, U.S. Geological Survey, Reston, VA, and accepted by Editorial Board Member Jean Jouzel August 26, 2020 (received for review May 6, 2020) The impact of the ongoing anthropogenic warming on the Arctic such an extrapolation. Moreover, the past 1,400 y only encom- Ocean sea ice is ascertained and closely monitored. However, its pass a small fraction of the climate variations that occurred long-term fate remains an open question as its natural variability during the Cenozoic (7, 8), even during the present interglacial, on centennial to millennial timescales is not well documented. i.e., the Holocene (9), which began ∼11,700 y ago. To assess Here, we use marine sedimentary records to reconstruct Arctic Arctic sea-ice instabilities further back in time, the analyses of sea-ice fluctuations. Cores collected along the Lomonosov Ridge sedimentary archives is required but represents a challenge (10, that extends across the Arctic Ocean from northern Greenland to 11). Suitable sedimentary sequences with a reliable chronology the Laptev Sea were radiocarbon dated and analyzed for their and biogenic content allowing oceanographical reconstructions micropaleontological and palynological contents, both bearing in- can be recovered from Arctic Ocean shelves, but they rarely formation on the past sea-ice cover. -
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). -
Physical Oceanography in the Arctic Ocean: 1968
Physical Oceanography in the Arctic Ocean: 1968 L. K. COACHMAN1 INTRODUCTION Three years ago I reviewed our knowledge of the physical regime of the Arctic Ocean (Coachman 1968). Briefly, the Ocean may be thought of as composed of two layers of different density: a light, relatively thin (W 200 m.) and well-mixed top layer overlying a large thick mass of water of extremely uniform salinity, and hence density. In cold seawater, the density is largely determined by the salinity. Superimposed on this regime is a three-layer temperature regime. The surface layer is cold, being at or near freezing. Frequently there is a tem- perature minimum near the bottom of the surface layer (- 150 to 200 m. depth), and within the Canada Basin a slight temperature maximum is found at 75 to 100 m. depth owing to the intrusion of Bering Sea water. The intermediate layer, Atlantic water, is above OOC., and below this layer (> 1000 m.) occurs the large mass of bottom water which has extremely uniform temperatures below 0°C. but definitely above freezing. The general picture of the water masses is drawn from 70 years of oceano- graphic data collection, The Naval Arctic Research Laboratory, in its support of drifting stations and other scientific work on the pack ice, has provided the basic support for the United States contribution to physical oceanographic studies of the central Arctic Ocean. There are still enormous gaps in our knowledge. The Arctic Ocean is probably no less complex than any of the world oceans, but its ranges of property values are less and hence the complexities are reflected as smallervariations of the values in space and time. -
Precursors of September Arctic Sea-Ice Extent Based on Causal Effect Networks
atmosphere Article Precursors of September Arctic Sea-Ice Extent Based on Causal Effect Networks Sha Li 1, Muyin Wang 2,3,*, Nicholas A. Bond 2,3, Wenyu Huang 1 , Yong Wang 1, Shiming Xu 1 , Jiping Liu 4, Bin Wang 1,5 and Yuqi Bai 1,* 1 Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China; [email protected] (S.L.); [email protected] (W.H.); [email protected] (Y.W.); [email protected] (S.X.); [email protected] (B.W.) 2 Joint Institute for the Study of the Atmosphere and Ocean, University of Washington, Seattle, WA 98195, USA; [email protected] 3 Pacific Marine Environmental Laboratory, National Oceanic and Atmospheric Administration, Seattle, WA 98115, USA 4 Department of Atmospheric and Environmental Sciences, University at Albany, State University of New York, Albany, NY 12222, USA; [email protected] 5 State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China * Correspondence: [email protected] (M.W.); [email protected] (Y.B.); Tel.: +1-206-526-4532 (M.W.); +86-10-6279-5269 (Y.B.) Received: 1 October 2018; Accepted: 2 November 2018; Published: 9 November 2018 Abstract: Although standard statistical methods and climate models can simulate and predict sea-ice changes well, it is still very hard to distinguish some direct and robust factors associated with sea-ice changes from its internal variability and other noises.