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Conversion of GISP2-Based Sediment Core Age Models to the GICC05 Extended Chronology
Quaternary Geochronology 20 (2014) 1e7 Contents lists available at ScienceDirect Quaternary Geochronology journal homepage: www.elsevier.com/locate/quageo Short communication Conversion of GISP2-based sediment core age models to the GICC05 extended chronology Stephen P. Obrochta a, *, Yusuke Yokoyama a, Jan Morén b, Thomas J. Crowley c a University of Tokyo Atmosphere and Ocean Research Institute, 227-8564, Japan b Neural Computation Unit, Okinawa Institute of Science and Technology, 904-0495, Japan c Braeheads Institute, Maryfield, Braeheads, East Linton, East Lothian, Scotland EH40 3DH, UK article info abstract Article history: Marine and lacustrine sediment-based paleoclimate records are often not comparable within the early to Received 14 March 2013 middle portion of the last glacial cycle. This is due in part to significant revisions over the past 15 years to Received in revised form the Greenland ice core chronologies commonly used to assign ages outside of the range of radiocarbon 29 August 2013 dating. Therefore, creation of a compatible chronology is required prior to analysis of the spatial and Accepted 1 September 2013 temporal nature of climate variability at multiple locations. Here we present an automated mathematical Available online 19 September 2013 function that updates GISP2-based chronologies to the newer, NGRIP GICC05 age scale between 8.24 and 103.74 ka b2k. The script uses, to the extent currently available, climate-independent volcanic syn- Keywords: Chronology chronization of these two ice cores, supplemented by oxygen isotope alignment. The modular design of Ice core the script allows substitution for a more comprehensive volcanic matching, once it becomes available. Sediment core Usage of this function highlights on the GICC05 chronology, for the first time for the entire last glaciation, GICC05 the proposed global climate relationships during the series of large and rapid millennial stadial- interstadial events. -
Isotopic Oxygen-18 Results from Blue-Ice Areas
Isotopic oxygen-18 results Tongue blue-ice field ranges in 8180 from –40.7 to –58.8 parts per thousand. In a 200-meter transect with a sample every 10 from blue-ice areas meters, a 60-meter area of "yellow" or "dirty" ice has an av- erage 8180 value of –42.8 ± 1.4 parts per thousand, while the average for the blue-ice is –54.4 ± 0.3 parts per thousand. P.M. GROOTES and M. STUIVER Lighter 8110 values seem also to be associated with the me- teorite-carrying ice. Detailed sampling on five large sample Quaternary Isotope Laboratory blocks showed no signs of sample contamination and enrich- University of Washington ment. Seattle, Washington 98195 The observed i8O range is more than triple the glacial/in- terglacial 8180 change and the isotopically light ice, therefore, We measured the oxygen isotope abundance ratio oxygen - must have originated in the high interior of East Antarctica. 18/oxygen-16 in three sets of samples from blue-ice ablation The most negative value of –58.8 parts per thousand is, how- areas west of the Transantarctic Mountains. Samples were col- ever, still lighter than present snow accumulating at the Pole lected at the Reckling Moraine (by C. Faure), the Lewis Cliff of Relative Inaccessibility (-57 parts per thousand, Lorius 1983). Ice Tongue (by W.A. Cassidy, submitted by P. Englert), and If this ice had been formed during a glacial period, the source the Allan Hills (by J.O. Annexstad). Most samples were cut area could be closer to the Transantarctic Mountains. -
Ice Core Science 21
Science Highlights: Ice Core Science 21 Dating ice cores JAKOB SCHWANDER Climate and Environmental Physics, Physics Institute, University of Bern, Switzerland; [email protected] Introduction 200 [ppb An accurate chronology is the ba- NO 100 3 ] sis for a meaningful interpretation - 80 ] of any climate archive, including ice 2 0 O 2 40 [ppb cores. Until now, the oldest ice re- H 0 200 Dust covered from a continuous core is [ppb 100 that from Dome Concordia, Antarc- 2 ] ] tica, with an estimated age of over -1 1.6 0 Sm 1.2 µ 800,000 years (EPICA Community [ Conduct. 0.8 160 [ppb Members, 2004). But the recently SO 80 4 2 recovered cores from near bedrock ] 60 - ] at Kohnen Station (Dronning Maud + 40 0 Na Land, Antarctica) and Dome Fuji [ppb 20 40 [ 0 Ca (Antarctica) compete for the longest ppb 2 20 + climatic record. With the recovery of ] 80 0 + more and more ice cores, the task of ] 4 establishing a good common chro- 40 [ppb NH nology has become increasingly im- 0 portant for linking the fi ndings from 1425 1425 .5 1426 1426 .5 1427 the different records. Moreover, in Depth [m] order to create a comprehensive Fig. 1: Seasonal variations of impurities in early Holocene ice from the North GRIP ice core. picture of past climate dynamics, it Summer layers are indicated by grey lines. is crucial to aim at a common chro- al., 1993, Rasmussen et al., 2006). is assessed with such a model, then nology for all paleo-records. Here Ideally the counting uncertainty is one can construct a chronology of the different methods for dating ice on the order of 1%. -
Scientific Dating of Pleistocene Sites: Guidelines for Best Practice Contents
Consultation Draft Scientific Dating of Pleistocene Sites: Guidelines for Best Practice Contents Foreword............................................................................................................................. 3 PART 1 - OVERVIEW .............................................................................................................. 3 1. Introduction .............................................................................................................. 3 The Quaternary stratigraphical framework ........................................................................ 4 Palaeogeography ........................................................................................................... 6 Fitting the archaeological record into this dynamic landscape .............................................. 6 Shorter-timescale division of the Late Pleistocene .............................................................. 7 2. Scientific Dating methods for the Pleistocene ................................................................. 8 Radiometric methods ..................................................................................................... 8 Trapped Charge Methods................................................................................................ 9 Other scientific dating methods ......................................................................................10 Relative dating methods ................................................................................................10 -
Glacier Lake, Saddle, & Blue Ice Trails
Guide to Glacier Lake, Saddle, & Blue Ice Trails in Kachemak Bay State Park Trail Access: Glacier Spit, Saddle, or Humpy Creek Grewingk Tram Spur (1 mile, easy) Allowable Uses: Hiking This spur connects Glacier Distance: 3.2 mi one-way (Glacier Lake Trail) Lake Trail and Emerald Lake Loop Trail. There is a hand- 1.0 mi one way (Saddle Trail) operated cable car pulley 6.7 mi one-way (Glacier Spit to Blue Ice Trail end) system over Grewingk Elevation Gain: 200 ft (Glacier Lake Trail) Creek. Operation requires 200 ft (Glacier Lake to Saddle Trailhead) two people. Maximum capacity of the tram is 500 500 ft (Glacier Spit to Blue Ice Trail end) pounds. If only two people are crossing the Difficulty: Easy; family suitable (Glacier Lake Trail) tram, one person should stay behind and assist in Camping: Moderate (Saddle Trail) pulling the other across. Two people in the tram cart without assistance from others on the plat- Glacier Spit, Grewingk Glacier Lake, Grewingk Creek, Moderate (Blue Ice Trail) form is difficult. Gloves are helpful in operating Tarn Lake, Humpy Creek, Right Beach (accessible at Hiking Time: 1.5 hours (to end Glacier Lake Trail) low tide from Glacier Spit) the tram. 30 minutes (Saddle Trail) Water Availability: 5 hours (Glacier Spit to Blue Ice Trail end) Glacier Lake & Saddle Trails: Grewingk Creek (glacial), Grewingk Glacier Lake A Popular route joins the Saddle and Glacier Lake (glacial), small streams near glacier and on Saddle Tr. Blue Ice Trail: Trails. The Glacier Lake Trail follows flat terrain Safety and Considerations: This is the only developed access to Grewingk through stands of cottonwoods & spruce, and CAUTION: Unless properly trained and outfitted for Glacier. -
Antarctic Surface and Subsurface Snow and Ice Melt Fluxes
15 MAY 2005 L I S T O N A N D W I N THER 1469 Antarctic Surface and Subsurface Snow and Ice Melt Fluxes GLEN E. LISTON Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado JAN-GUNNAR WINTHER Norwegian Polar Institute, Polar Environmental Centre, Tromsø, Norway (Manuscript received 19 April 2004, in final form 22 October 2004) ABSTRACT This paper presents modeled surface and subsurface melt fluxes across near-coastal Antarctica. Simula- tions were performed using a physical-based energy balance model developed in conjunction with detailed field measurements in a mixed snow and blue-ice area of Dronning Maud Land, Antarctica. The model was combined with a satellite-derived map of Antarctic snow and blue-ice areas, 10 yr (1991–2000) of Antarctic meteorological station data, and a high-resolution meteorological distribution model, to provide daily simulated melt values on a 1-km grid covering Antarctica. Model simulations showed that 11.8% and 21.6% of the Antarctic continent experienced surface and subsurface melt, respectively. In addition, the simula- tions produced 10-yr averaged subsurface meltwater production fluxes of 316.5 and 57.4 km3 yrϪ1 for snow-covered and blue-ice areas, respectively. The corresponding figures for surface melt were 46.0 and 2.0 km3 yrϪ1, respectively, thus demonstrating the dominant role of subsurface over surface meltwater pro- duction. In total, computed surface and subsurface meltwater production values equal 31 mm yrϪ1 if evenly distributed over all of Antarctica. While, at any given location, meltwater production rates were highest in blue-ice areas, total annual Antarctic meltwater production was highest for snow-covered areas due to its larger spatial extent. -
A New Mass Spectrometric Tool for Modelling Protein Diagenesis
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Institutional Research Information System University of Turin 114 Abstracts / Quaternary International 279-280 (2012) 9–120 budgets, preferably spanning an entire glacial cycle, remain the most by chiral amino acid analysis. However, this knowledge has not yet been accurate for extrapolating glacial erosion rates to the entire Pleistocene able to produce a model which is fully able to explain the patterns of and for assessing their impact on crustal uplift. In the Carlit massif, where breakdown at low (burial) temperatures. By performing high temperature topographic conditions have allowed the majority of Würmian sediments experiments on a range of biominerals (e.g. corals and marine gastropods) to remain trapped within the catchment, clastic volumes preserved and and comparing the racemisation patterns with those obtained in fossil widespread 10Be nuclide inheritance on ice-scoured bedrock steps in the samples of known age, some of our studies have highlighted a range of path of major iceways reveal that mean catchment-scale glacial denuda- discrepancies in the datasets which we attribute to the interplay of tion depths were low (5 m in w100 ka), non-uniform across the landscape, a network of diagenesis reactions which are not yet fully understood. In and unsteady through time. Extrapolating to the Pleistocene, the trans- particular, an accurate knowledge of the temperature sensitivity of the two formation of Cenozoic landscapes by glaciers has thus been limited, many main observable diagenetic reactions (hydrolysis and racemisation) is still cirques and valleys being pre-glacial landforms merely modified by glacial elusive. -
The WAIS Divide Deep Ice Core WD2014 Chronology – Part 2: Annual-Layer Counting (0–31 Ka BP)
Clim. Past, 12, 769–786, 2016 www.clim-past.net/12/769/2016/ doi:10.5194/cp-12-769-2016 © Author(s) 2016. CC Attribution 3.0 License. The WAIS Divide deep ice core WD2014 chronology – Part 2: Annual-layer counting (0–31 ka BP) Michael Sigl1,2, Tyler J. Fudge3, Mai Winstrup3,a, Jihong Cole-Dai4, David Ferris5, Joseph R. McConnell1, Ken C. Taylor1, Kees C. Welten6, Thomas E. Woodruff7, Florian Adolphi8, Marion Bisiaux1, Edward J. Brook9, Christo Buizert9, Marc W. Caffee7,10, Nelia W. Dunbar11, Ross Edwards1,b, Lei Geng4,5,12,d, Nels Iverson11, Bess Koffman13, Lawrence Layman1, Olivia J. Maselli1, Kenneth McGwire1, Raimund Muscheler8, Kunihiko Nishiizumi6, Daniel R. Pasteris1, Rachael H. Rhodes9,c, and Todd A. Sowers14 1Desert Research Institute, Nevada System of Higher Education, Reno, NV 89512, USA 2Laboratory for Radiochemistry and Environmental Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland 3Department of Earth and Space Sciences, University of Washington, Seattle, WA 98195, USA 4Department of Chemistry and Biochemistry, South Dakota State University, Brookings, SD 57007, USA 5Dartmouth College Department of Earth Sciences, Hanover, NH 03755, USA 6Space Science Laboratory, University of California, Berkeley, Berkeley, CA 94720, USA 7Department of Physics and Astronomy, PRIME Laboratory, Purdue University, West Lafayette, IN 47907, USA 8Department of Geology, Lund University, 223 62 Lund, Sweden 9College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR 97331, USA 10Department of Earth, Atmospheric, -
Glacier Mass Balance This Summary Follows the Terminology Proposed by Cogley Et Al
Summer school in Glaciology, McCarthy 5-15 June 2018 Regine Hock Geophysical Institute, University of Alaska, Fairbanks Glacier Mass Balance This summary follows the terminology proposed by Cogley et al. (2011) 1. Introduction: Definitions and processes Definition: Mass balance is the change in the mass of a glacier, or part of the glacier, over a stated span of time: t . ΔM = ∫ Mdt t1 The term mass budget is a synonym. The span of time is often a year or a season. A seasonal mass balance is nearly always either a winter balance or a summer balance, although other kinds of seasons are appropriate in some climates, such as those of the tropics. The definition of “year” depends on the measurement method€ (see Chap. 4). The mass balance, b, is the sum of accumulation, c, and ablation, a (the ablation is defined here as negative). The symbol, b (for point balances) and B (for glacier-wide balances) has traditionally been used in studies of surface mass balance of valley glaciers. t . b = c + a = ∫ (c+ a)dt t1 Mass balance is often treated as a rate, b dot or B dot. Accumulation Definition: € 1. All processes that add to the mass of the glacier. 2. The mass gained by the operation of any of the processes of sense 1, expressed as a positive number. Components: • Snow fall (usually the most important). • Deposition of hoar (a layer of ice crystals, usually cup-shaped and facetted, formed by vapour transfer (sublimation followed by deposition) within dry snow beneath the snow surface), freezing rain, solid precipitation in forms other than snow (re-sublimation composes 5-10% of the accumulation on Ross Ice Shelf, Antarctica). -
On the Origin and Timing of Rapid Changes in Atmospheric
GLOBAL BIOGEOCHEMICAL CYCLES, VOL. 14, NO. 2, PAGES 559-572, JUNE 2000 On the origin and timing of rapid changesin atmospheric methane during the last glacial period EdwardJ. Brook,• SusanHarder, • Jeff Sevennghaus, ' • Eric J. Ste•g,. 3and Cara M. Sucher•'5 Abstract. We presenthigh resolution records of atmosphericmethane from the GISP2 (GreenlandIce SheetProject 2) ice corefor fourrapid climate transitions that occurred during the past50 ka: theend of theYounger Dryas at 11.8ka, thebeginning of theBolling-Aller0d period at 14.8ka, thebeginning of interstadial8 at 38.2 ka, andthe beginning of intersradial12 at 45.5 ka. Duringthese events, atmospheric methane concentrations increased by 200-300ppb over time periodsof 100-300years, significantly more slowly than associated temperature and snow accumulationchanges recorded in the ice corerecord. We suggestthat the slowerrise in methane concentrationmay reflect the timescale of terrestrialecosystem response to rapidclimate change. We find noevidence for rapid,massive methane emissions that might be associatedwith large- scaledecomposition of methanehydrates in sediments.With additionalresults from the Taylor DomeIce Core(Antarctica) we alsoreconstruct changes in the interpolarmethane gradient (an indicatorof thegeographical distribution of methanesources) associated with someof therapid changesin atmosphericmethane. The resultsindicate that the rise in methaneat thebeginning of theB011ing-Aller0d period and the laterrise at theend of theYounger Dryas were driven by increasesin bothtropical -
“Year Zero” in Interdisciplinary Studies of Climate and History
PERSPECTIVE Theimportanceof“year zero” in interdisciplinary studies of climate and history PERSPECTIVE Ulf Büntgena,b,c,d,1,2 and Clive Oppenheimera,e,1,2 Edited by Jean Jouzel, Laboratoire des Sciences du Climat et de L’Environ, Orme des Merisiers, France, and approved October 21, 2020 (received for review August 28, 2020) The mathematical aberration of the Gregorian chronology’s missing “year zero” retains enduring potential to sow confusion in studies of paleoclimatology and environmental ancient history. The possibility of dating error is especially high when pre-Common Era proxy evidence from tree rings, ice cores, radiocar- bon dates, and documentary sources is integrated. This calls for renewed vigilance, with systematic ref- erence to astronomical time (including year zero) or, at the very least, clarification of the dating scheme(s) employed in individual studies. paleoclimate | year zero | climate reconstructions | dating precision | geoscience The harmonization of astronomical and civil calendars have still not collectively agreed on a calendrical in the depths of human history likely emerged from convention, nor, more generally, is there standardi- the significance of the seasonal cycle for hunting and zation of epochs within and between communities and gathering, agriculture, and navigation. But difficulties disciplines. Ice core specialists and astronomers use arose from the noninteger number of days it takes 2000 CE, while, in dendrochronology, some labora- Earth to complete an orbit of the Sun. In revising their tories develop multimillennial-long tree-ring chronol- 360-d calendar by adding 5 d, the ancient Egyptians ogies with year zero but others do not. Further were able to slow, but not halt, the divergence of confusion emerges from phasing of the extratropical civil and seasonal calendars (1). -
Build-Up and Chronology of Blue Ice Moraines in Queen Maud Land, Antarctica
Research Collection Journal Article Build-up and chronology of blue ice moraines in Queen Maud Land, Antarctica Author(s): Akçar, Naki; Yeşilyurt, Serdar; Hippe, Kristina; Christl, Marcus; Vockenhuber, Christof; Yavuz, Vural; Özsoy, Burcu Publication Date: 2020-10 Permanent Link: https://doi.org/10.3929/ethz-b-000444919 Originally published in: Quaternary Science Advances 2, http://doi.org/10.1016/j.qsa.2020.100012 Rights / License: Creative Commons Attribution 4.0 International This page was generated automatically upon download from the ETH Zurich Research Collection. For more information please consult the Terms of use. ETH Library Quaternary Science Advances 2 (2020) 100012 Contents lists available at ScienceDirect Quaternary Science Advances journal homepage: www.journals.elsevier.com/quaternary-science-advances Build-up and chronology of blue ice moraines in Queen Maud Land, Antarctica Naki Akçar a,b,*, Serdar Yes¸ilyurt a,c, Kristina Hippe d, Marcus Christl d, Christof Vockenhuber d, Vural Yavuz e, Burcu Ozsoy€ b,f a Institute of Geological Sciences, University of Bern, Baltzerstrasse 1-3, 3012, Bern, Switzerland b Polar Research Institute, TÜBITAK Marmara Research Center, Gebze, Istanbul, Turkey c Department of Geography, Ankara University, Sıhhiye, 06100, Ankara, Turkey d Laboratory of Ion Beam Physics (LIP), ETH Zurich, Otto-Stern-Weg 5, 8093, Zurich, Switzerland e Faculty of Engineering, Turkish-German University, 34820, Beykoz, Istanbul, Turkey f Maritime Faculty, Istanbul Technical University Tuzla Campus, Istanbul, Turkey