Chapter 32 Ice Navigation
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Benthic Community Response to Iceberg Scouring at an Intensely Disturbed Shallow Water Site at Adelaide Island, Antarctica
Vol. 355: 85–94, 2008 MARINE ECOLOGY PROGRESS SERIES Published February 26 doi: 10.3354/meps07311 Mar Ecol Prog Ser Benthic community response to iceberg scouring at an intensely disturbed shallow water site at Adelaide Island, Antarctica Dan A. Smale*, David K. A. Barnes, Keiron P. P. Fraser, Lloyd S. Peck British Antarctic Survey, Natural Environment Research Council, High Cross, Madingley Road, Cambridge CB3 OET, UK ABSTRACT: Disturbance is a key structuring force influencing shallow water communities at all latitudes. Polar nearshore communities are intensely disturbed by ice, yet little is known about benthic recovery following iceberg groundings. Understanding patterns of recovery following ice scour may be particularly important in the West Antarctic Peninsula region, one of the most rapidly changing marine systems on Earth. Here we present the first observations from within the Antarc- tic Circle of community recovery following iceberg scouring. Three grounded icebergs were marked at a highly disturbed site at Adelaide Island (~67° S) and the resultant scours were sampled at <1, 3, 6, 12, 18 and 30 to 32 mo following formation. Each iceberg impact was catastrophic in that it resulted in a 92 to 96% decrease in abundance compared with reference zones, but all post- scoured communities increased in similarity towards ‘undisturbed’ assemblages over time. Taxa recovered at differing rates, probably due to varying mechanisms of return to scoured areas. By the end of the study, we found no differences in abundance between scoured and reference samples for 6 out of 9 major taxonomic groups. Five pioneer species had consistently elevated abundances in scours compared with reference zones. -
SAR Image Wave Spectra to Retrieve the Thickness of Grease-Pancake
www.nature.com/scientificreports OPEN SAR image wave spectra to retrieve the thickness of grease‑pancake sea ice using viscous wave propagation models Giacomo De Carolis 1*, Piero Olla2,3 & Francesca De Santi 1 Young sea ice composed of grease and pancake ice (GPI), as well as thin foes, considered to be the most common form of sea ice fringing Antarctica, is now becoming the “new normal” also in the Arctic. A study of the rheological properties of GPI is carried out by comparing the predictions of two viscous wave propagation models: the Keller model and the close‑packing (CP) model, with the observed wave attenuation obtained by SAR image techniques. In order to ft observations, it is shown that describing GPI as a viscous medium requires the adoption of an ice viscosity which increases with the ice thickness. The consequences regarding the possibility of ice thickness retrieval from remote sensing data of wave attenuation are discussed. We provide examples of GPI thickness retrievals from a Sentinel‑1 C band SAR image taken in the Beaufort Sea on 1 November 2015, and three CosmoSkyMed X band SAR images taken in the Weddell Sea on March 2019. The estimated GPI thicknesses are consistent with concurrent SMOS measurements and available local samplings. Climate change has led in the last decade to a dramatic reduction in the extent and the thickness of sea ice in the Arctic region during the summer season. As a result, the marginal ice zone (MIZ), which is the dynamic transition region separating the ice pack from the open ocean, has become increasingly exposed to the wind and the wave actions1,2. -
River Ice Management in North America
RIVER ICE MANAGEMENT IN NORTH AMERICA REPORT 2015:202 HYDRO POWER River ice management in North America MARCEL PAUL RAYMOND ENERGIE SYLVAIN ROBERT ISBN 978-91-7673-202-1 | © 2015 ENERGIFORSK Energiforsk AB | Phone: 08-677 25 30 | E-mail: [email protected] | www.energiforsk.se RIVER ICE MANAGEMENT IN NORTH AMERICA Foreword This report describes the most used ice control practices applied to hydroelectric generation in North America, with a special emphasis on practical considerations. The subjects covered include the control of ice cover formation and decay, ice jamming, frazil ice at the water intakes, and their impact on the optimization of power generation and on the riparians. This report was prepared by Marcel Paul Raymond Energie for the benefit of HUVA - Energiforsk’s working group for hydrological development. HUVA incorporates R&D- projects, surveys, education, seminars and standardization. The following are delegates in the HUVA-group: Peter Calla, Vattenregleringsföretagen (ordf.) Björn Norell, Vattenregleringsföretagen Stefan Busse, E.ON Vattenkraft Johan E. Andersson, Fortum Emma Wikner, Statkraft Knut Sand, Statkraft Susanne Nyström, Vattenfall Mikael Sundby, Vattenfall Lars Pettersson, Skellefteälvens vattenregleringsföretag Cristian Andersson, Energiforsk E.ON Vattenkraft Sverige AB, Fortum Generation AB, Holmen Energi AB, Jämtkraft AB, Karlstads Energi AB, Skellefteå Kraft AB, Sollefteåforsens AB, Statkraft Sverige AB, Umeå Energi AB and Vattenfall Vattenkraft AB partivipates in HUVA. Stockholm, November 2015 Cristian -
Years at the Amery Ice Shelf in September 2019
https://doi.org/10.5194/tc-2020-219 Preprint. Discussion started: 19 August 2020 c Author(s) 2020. CC BY 4.0 License. 1 Atmospheric extremes triggered the biggest calving event in more than 50 2 years at the Amery Ice shelf in September 2019 3 4 Diana Francis 1*, Kyle S. Mattingly 2, Stef Lhermitte 3, Marouane Temimi 1, Petra Heil 4 5 6 1 Khalifa University of Science and Technology, P. O. Box 54224, Abu Dhabi, United Arab 7 Emirates. 8 2 Institute of Earth, Ocean, and Atmospheric Sciences, Rutgers University, New Brunswick, NJ, 9 USA. 10 3 Department of Geoscience and Remote Sensing, Delft University of Technology, Mekelweg 5, 11 2628 CD Delft, Netherlands. 12 4 University of Tasmania, Hobart, Tasmania 7001, Australia. 13 14 * Corresponding Author: [email protected]. 15 16 Abstract 17 Ice shelf instability is one of the main sources of uncertainty in Antarctica’s contribution to future 18 sea level rise. Calving events play crucial role in ice shelf weakening but remain unpredictable and 19 their governing processes are still poorly understood. In this study, we analyze the unexpected 20 September 2019 calving event from the Amery Ice Shelf, the largest since 1963 and which 21 occurred almost a decade earlier than expected, to better understand the role of the atmosphere in 22 calving. We find that atmospheric extremes provided a deterministic role in this event. The calving 23 was triggered by the occurrence of a series of anomalously-deep and stationary explosive twin 24 polar cyclones over the Cooperation and Davis Seas which generated strong offshore winds 25 leading to increased sea ice removal, fracture amplification along the pre-existing rift, and 26 ultimately calving of the massive iceberg. -
Open-Ocean Polynyas and Deep Convection in the Southern Ocean Woo Geun Cheon1 & Arnold L
www.nature.com/scientificreports OPEN Open-ocean polynyas and deep convection in the Southern Ocean Woo Geun Cheon1 & Arnold L. Gordon 2 An open-ocean polynya is a large ice-free area surrounded by sea ice. The Maud Rise Polynya in the Received: 27 December 2018 Southern Ocean occasionally occurs during the austral winter and spring seasons in the vicinity of Maud Accepted: 18 April 2019 Rise near the Greenwich Meridian. In the mid-1970s the Maud Rise Polynya served as a precursor to Published: xx xx xxxx the more persistent, larger Weddell Polynya associated with intensive open-ocean deep convection. However, the Maud Rise Polynya generally does not lead to a Weddell Polynya, as was the situation in the September to November of 2017 occurrence of a strong Maud Rise Polynya. Using diverse, long- term observation and reanalysis data, we found that a combination of weakly stratifed ocean near Maud Rise and a wind induced spin-up of the cyclonic Weddell Gyre played a crucial role in generating the 2017 Maud Rise Polynya. More specifcally, the enhanced fow over the southwestern fank of Maud Rise intensifed eddy activity, weakening and raising the pycnocline. However, in 2018 the formation of a Weddell Polynya was hindered by relatively low surface salinity associated with the positive Southern Annular Mode, in contrast to the 1970s’ condition of a prolonged, negative Southern Annular Mode that induced a saltier surface layer and weaker pycnocline. In the Southern Ocean there are two modes in which surface water can attain sufcient density to descend into the deep ocean1. -
30-2 Lee2.Pdf
OceTHE OFFICIALa MAGAZINEn ogOF THE OCEANOGRAPHYra SOCIETYphy CITATION Lee, C.M., J. Thomson, and the Marginal Ice Zone and Arctic Sea State Teams. 2017. An autonomous approach to observing the seasonal ice zone in the western Arctic. Oceanography 30(2):56–68, https://doi.org/10.5670/oceanog.2017.222. DOI https://doi.org/10.5670/oceanog.2017.222 COPYRIGHT This article has been published in Oceanography, Volume 30, Number 2, a quarterly journal of The Oceanography Society. Copyright 2017 by The Oceanography Society. All rights reserved. USAGE Permission is granted to copy this article for use in teaching and research. Republication, systematic reproduction, or collective redistribution of any portion of this article by photocopy machine, reposting, or other means is permitted only with the approval of The Oceanography Society. Send all correspondence to: [email protected] or The Oceanography Society, PO Box 1931, Rockville, MD 20849-1931, USA. DOWNLOADED FROM HTTP://TOS.ORG/OCEANOGRAPHY SPECIAL ISSUE ON AUTONOMOUS AND LAGRANGIAN PLATFORMS AND SENSORS (ALPS) An Autonomous Approach to Observing the Seasonal Ice Zone in the Western Arctic By Craig M. Lee, Jim Thomson, and the Marginal Ice Zone and Arctic Sea State Teams 56 Oceanography | Vol.30, No.2 ABSTRACT. The Marginal Ice Zone and Arctic Sea State programs examined the MIZ is a region of complex atmosphere- processes that govern evolution of the rapidly changing seasonal ice zone in the Beaufort ice-ocean dynamics that varies with sea Sea. Autonomous platforms operating from the ice and within the water column ice properties and distance from the ice collected measurements across the atmosphere-ice-ocean system and provided the edge (Figure 2; e.g., Morison et al., 1987). -
Drift of Pancake Ice Floes in the Winter Antarctic Marginalicezoneduringpolarcyclones
DRIFT OF PANCAKE ICE FLOES IN THE WINTER ANTARCTIC MARGINAL ICE ZONE DURING POLAR CYCLONES APREPRINT Alberto Alberello∗ Luke Bennetts Petra Heil University of Adelaide University of Adelaide Australian Antarctic Division & ACE–CRC 5005, Adelaide, Australia 5005, Adelaide, Australia 7001, Hobart, Australia Clare Eayrs Marcello Vichi Keith MacHutchon New York University Abu Dhabi University of Cape Town University of Cape Town Abu Dhabi, United Arab Emirates Rondenbosch, 7701, South Africa Rondenbosch, 7701, South Africa Miguel Onorato Alessandro Toffoli Università di Torino & IFNF The University of Melbourne Torino, 10125, Italy 3010, Parkville, Australia June 27, 2019 ABSTRACT High temporal resolution in–situ measurements of pancake ice drift are presented, from a pair of buoys deployed on floes in the Antarctic marginal ice zone during the winter sea ice expansion, over nine days in which the region was impacted by four polar cyclones. Concomitant measurements of wave-in-ice activity from the buoys is used to infer that pancake ice conditions were maintained over at least the first seven days. Analysis of the data shows: (i) unprecedentedly fast drift speeds in the Southern Ocean; (ii) high correlation of drift velocities with the surface wind velocities, indicating absence of internal ice stresses >100 km in from the edge in 100% remotely sensed ice concentration; and (iii) presence of a strong inertial signature with a 13 h period. A Langrangian free drift model is developed, including a term for geostrophic currents that reproduces the 13 h period signature in the ice motion. The calibrated model is shown to provide accurate predictions of the ice drift for up to 2 days, and the calibrated parameters provide estimates of wind and ocean drag for pancake floes under storm conditions. -
Snow and Ice Control Around Structures - George D
COLD REGIONS SCIENCE AND MARINE TECHNOLOGY - Snow and Ice Control Around Structures - George D. Ashton SNOW AND ICE CONTROL AROUND STRUCTURES George D. Ashton Consultant, Lebanon, NH 03766 Keywords: ice jams, ice control, flooding, snow drifting, snow loads, river ice Contents 1. Introduction 2. Nature of ice jams 2.1. Frazil Ice 2.1.1. Hanging Dams 2.1.2. Blockage of Intakes 2.2. Breakup Ice Jams 3. Control of ice jams 3.1. Frazil Ice Jams 3.2. Breakup Ice Jams 3.2.1. Ice Suppression 3.2.2. Dikes 3.2.3. Ice Booms 3.2.4. Ice Control Structures 3.2.5. Ice Removal 3.2.6. Ice Breaking 3.2.7. Ice Weakening 3.2.8. Blasting 4. Other Ice Control Techniques 4.1. Air Bubbler Systems 4.1.1. Requirements 4.1.2. Limitations 4.1.3. Operation 4.2. Other Ice Control Techniques 5. Snow control around structures 5.1. Buildings 5.1.1. Snow UNESCOLoads on Roofs – EOLSS 5.1.2. Blowing Snow 5.2. Roads 5.2.1 Snow Fences 6. Conclusion SAMPLE CHAPTERS Glossary Bibliography Biographical Sketch Summary Two main topics are treated here: control of ice jams including mitigation measures, and control of snow accumulations around structures. The nature of ice jams is described and the difference between jams formed of frazil ice and jams formed of broken ice is ©Encyclopedia of Life Support Systems (EOLSS) COLD REGIONS SCIENCE AND MARINE TECHNOLOGY - Snow and Ice Control Around Structures - George D. Ashton discussed. Also discussed are various ice control techniques used for specific problems. -
The Roland Von Glasow Air-Sea-Ice Chamber (Rvg-ASIC)
https://doi.org/10.5194/amt-2020-392 Preprint. Discussion started: 14 October 2020 c Author(s) 2020. CC BY 4.0 License. The Roland von Glasow Air-Sea-Ice Chamber (RvG-ASIC): an experimental facility for studying ocean/sea-ice/atmosphere interactions Max Thomas1, James France1,2,3, Odile Crabeck1, Benjamin Hall4, Verena Hof5, Dirk Notz5,6, Tokoloho Rampai4, Leif Riemenschneider5, Oliver Tooth1, Mathilde Tranter1, and Jan Kaiser1 1Centre for Ocean and Atmospheric Sciences, School of Environmental Sciences, University of East Anglia, UK, NR4 7TJ 2British Antarctic Survey, Natural Environment Research Council, Cambridge CB3 0ET, UK 3Department of Earth Sciences, Royal Holloway, University of London, Egham TW20 0EX, UK 4Chemical Engineering Deptartment, University of Cape Town, South Africa 5Max Planck Institute for Meteorology, Hamburg, Germany 6Center for Earth System Research and Sustainability (CEN), University of Hamburg, Germany Correspondence: Jan Kaiser ([email protected]) Abstract. Sea ice is difficult, expensive, and potentially dangerous to observe in nature. The remoteness of the Arctic and Southern Oceans complicates sampling logistics, while the heterogeneous nature of sea ice and rapidly changing environmental conditions present challenges for conducting process studies. Here, we describe the Roland von Glasow Air-Sea-Ice Chamber (RvG-ASIC), a laboratory facility designed to reproduce polar processes and overcome some of these challenges. The RvG- 5 ASIC is an open-topped 3.5 m3 glass tank housed in a coldroom (temperature range: -55 to +30 oC). The RvG-ASIC is equipped with a wide suite of instruments for ocean, sea ice, and atmospheric measurements, as well as visible and UV lighting. -
The Effects of Ice on Stream Flow
LIBRARY COPY DEPARTMENT OF THE INTERIOR UNITED STATES GEOLOGICAL SURVEY GEORGE OTI8 SMITH, DIKECTOK WATER-SUPPLY PAPER 337 THE EFFECTS OF ICE ON STREAM FLOW BY WILLIAM GLENN HOYT WASHINGTON GOVERNMENT PRINTING OFFICE 1913 CONTENTS. Page. Introduction____________________________________ 7 Factors that modify winter run-off_______________________ 9 Classification_________________________________ 9 Climatic factors_______________________________ 9 Precipitation and temperature____________________ 9 Barometric pressure__________________________ 17 Chinook winds________________________________ 18 Geologic factors________________________________ 19 Topographic factors______________________________ 20 Natural storage_____________________________ 20 Location, size, and trend of drainage basins____________ 22 Character of streams_________________________ 22 Vegetational factors_____________________________. 23 Artificial control _________________________________ 23 Formation of ice______________________________^____ 24 General conditions ________________________________ 24 Surface ice __ __ __ ___________________ 24 Method of formation____________________________. 24 Length and severity of cold period__________________ 25 Temperature of affluents________________________'__ 26 Velocity of water and. character of bed_______________ 27 Fluctuations in stage__________________________ 27 Frazil______________________________________ 28 Anchor ice_____________________ __________ 29 Effect of ice on relation of stage to discharge_________ ______ 30 The -
Snowterm: a Thesaurus on Snow and Ice Hierarchical and Alphabetical Listings
Quaderno tematico SNOWTERM: A THESAURUS ON SNOW AND ICE HIERARCHICAL AND ALPHABETICAL LISTINGS Paolo Plini , Rosamaria Salvatori , Mauro Valt , Valentina De Santis, Sabina Di Franco Version: November 2008 Quaderno tematico EKOLab n° 2 SnowTerm: a thesaurus on snow and ice hierarchical and alphabetical listings Version: November 2008 Paolo Plini1, Rosamaria Salvatori2, Mauro Valt3, Valentina De Santis1, Sabina Di Franco1 Abstract SnowTerm is the result of an ongoing work on a structured reference multilingual scientific and technical vocabulary covering the terminology of a specific knowledge domain like the polar and the mountain environment. The terminological system contains around 3.700 terms and it is arranged according to the EARTh thesaurus semantic model. It is foreseen an updated and expanded version of this system. 1. Introduction The use, management and diffusion of information is changing very quickly in the environmental domain, due also to the increased use of Internet, which has resulted in people having at their disposition a large sphere of information and has subsequently increased the need for multilingualism. To exploit the interchange of data, it is necessary to overcome problems of interoperability that exist at both the semantic and technological level and by improving our understanding of the semantics of the data. This can be achieved only by using a controlled and shared language. After a research on the internet, several glossaries related to polar and mountain environment were found, written mainly in English. Typically these glossaries -with a few exceptions- are not structured and are presented as flat lists containing one or more definitions. The occurrence of multiple definitions might contribute to increase the semantic ambiguity, leaving up to the user the decision about the preferred meaning of a term. -
Satellite Observations for Detecting and Forecasting Sea-Ice Conditions: a Summary of Advances Made in the SPICES Project by the EU’S Horizon 2020 Programme
remote sensing Article Satellite Observations for Detecting and Forecasting Sea-Ice Conditions: A Summary of Advances Made in the SPICES Project by the EU’s Horizon 2020 Programme Marko Mäkynen 1,* , Jari Haapala 1, Giuseppe Aulicino 2 , Beena Balan-Sarojini 3, Magdalena Balmaseda 3, Alexandru Gegiuc 1 , Fanny Girard-Ardhuin 4, Stefan Hendricks 5, Georg Heygster 6, Larysa Istomina 5, Lars Kaleschke 5, Juha Karvonen 1 , Thomas Krumpen 5, Mikko Lensu 1, Michael Mayer 3,7, Flavio Parmiggiani 8 , Robert Ricker 4,5 , Eero Rinne 1, Amelie Schmitt 9 , Markku Similä 1 , Steffen Tietsche 3 , Rasmus Tonboe 10, Peter Wadhams 11, Mai Winstrup 12 and Hao Zuo 3 1 Finnish Meteorological Institute, PB 503, FI-00101 Helsinki, Finland; jari.haapala@fmi.fi (J.H.); alexandru.gegiuc@fmi.fi (A.G.); juha.karvonen@fmi.fi (J.K.); mikko.lensu@fmi.fi (M.L.); eero.rinne@fmi.fi (E.R.); markku.simila@fmi.fi (M.S.) 2 Department of Science and Technology—DiST, Università degli Studi di Napoli Parthenope, Centro Direzionale Is C4, 80143 Napoli, Italy; [email protected] 3 European Centre for Medium-Range Weather forecasts, Shinfield Park, Reading RG2 9AX, UK; [email protected] (B.B.-S.); [email protected] (M.B.); [email protected] (M.M.); steff[email protected] (S.T.); [email protected] (H.Z.) 4 Ifremer, Univ. Brest, CNRS, IRD, Laboratoire d’Océanographie Physique et Spatiale, IUEM, 29280 Brest, France; [email protected] 5 AlfredWegener Institute, Am Handelshafen 12, 27570 Bremerhaven, Germany; [email protected] (S.H.);