Statistical Analysis of Observed Iceberg Drift 1
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100 Magic Water Words
WaterCards.(WebFinal).qxp 6/15/06 8:10 AM Page 1 estuary ocean backwater canal ice flood torrent snowflake iceberg wastewater 10 0 ripple tributary pond aquifer icicle waterfall foam creek igloo cove Water inlet fish ladder snowpack reservoir sleet Words slough shower gulf rivulet salt lake groundwater sea puddle swamp blizzard mist eddy spillway wetland harbor steam Narcissus surf dew white water headwaters tide whirlpool rapids brook 100 Water Words abyssal runoff snow swell vapor EFFECT: Lay 10 cards out blue side up. Ask a participant to mentally select a word and turn the card with the word on it over. You turn all marsh aqueduct river channel saltwater the other cards over and mix them up. Ask the participant to point to the card with his/her water table spray cloud sound haze word on it. You magically tell the word selected. KEY: The second word from the top on the riptide lake glacier fountain spring white side is a code word for a number from one to ten. Here is the code key: Ocean = one (ocean/one) watershed bay stream lock pool Torrent = two (torrent/two) Tributary = three (tributary/three) Foam = four (foam/four) precipitation lagoon wave crest bayou Fish ladder = five (fish ladder/five) Shower = six (shower/six) current trough hail well sluice Sea = seven (sea/seven) Eddy = eight (eddy/eight) Narcissus = nine (Narcissus/nine) salt marsh bog rain breaker deluge Tide = ten (tide/ten) Notice the code word on the card that is first frost downpour fog strait snowstorm turned over. When the second card is selected the chosen word will be the secret number inundation cloudburst effluent wake rainbow from the top. -
An Analytical Model of Iceberg Drift
JULY 2017 W A G N E R E T A L . 1605 An Analytical Model of Iceberg Drift TILL J. W. WAGNER,REBECCA W. DELL, AND IAN EISENMAN University of California, San Diego, La Jolla, California (Manuscript received 2 December 2016, in final form 6 April 2017) ABSTRACT The fate of icebergs in the polar oceans plays an important role in Earth’s climate system, yet a detailed understanding of iceberg dynamics has remained elusive. Here, the central physical processes that determine iceberg motion are investigated. This is done through the development and analysis of an idealized model of iceberg drift. The model is forced with high-resolution surface velocity and temperature data from an obser- vational state estimate. It retains much of the most salient physics, while remaining sufficiently simple to allow insight into the details of how icebergs drift. An analytical solution of the model is derived, which highlights how iceberg drift patterns depend on iceberg size, ocean current velocity, and wind velocity. A long-standing rule of thumb for Arctic icebergs estimates their drift velocity to be 2% of the wind velocity relative to the ocean current. Here, this relationship is derived from first principles, and it is shown that the relationship holds in the limit of small icebergs or strong winds, which applies for typical Arctic icebergs. For the opposite limit of large icebergs (length . 12 km) or weak winds, which applies for typical Antarctic tabular icebergs, it is shown that this relationship is not applicable and icebergs move with the ocean current, unaffected by the wind. -
PRESS RELEASE Icebergs A-70 and A-71 Calve from Larsen-D Ice Shelf in the Weddell
U.S. National Ice Center NOAA Satellite Operations Facility 4231 Suitland Road Suitland, MD 20746 PRESS RELEASE FOR IMMEDIATE RELEASE Contact: LT Falon Essary, NOAA [email protected] 3 01-817-3934 Icebergs A-70 and A-71 Calve from Larsen-D Ice Shelf in the Weddell Sea 08JAN2021, Suitland, MD — The Larsen-D Ice Shelf calved several icebergs in a calving event, two of which are large enough to be named. The breakup occurred in early November 2020, but until now it had been impossible to confirm whether these were icebergs large enough to be named or extremely old sea ice that had fasted to the ice shelf. Recent imagery showing surface topography typical of icebergs has allowed us to confirm these are indeed icebergs. The new iceberg A-70 is located at 72° 21' South, 59° 39' West and measures 8 nautical miles on its longest axis and 5 nautical miles on its widest axis. The new iceberg A-71 is located at 72° 31' South, 59° 31' West and measures 8 nautical miles on its longest axis and 3 nautical miles on its widest axis. A-70 and A-71 were first spotted by USNIC Ice Analyst Michael Lowe and confirmed by USNIC Ice Analyst Chris Readinger using the Sentinel-1A image shown below. Iceberg names are derived from the Antarctic quadrant in which they were originally sighted. The quadrants are divided counter-clockwise in the following manner: A = 0-90W (Bellingshausen/Weddell Sea) C = 180-90E (Western Ross Sea/Wilkesland) B = 90W-180 (Amundsen/Eastern Ross Sea) D = 90E-0 (Amery/Eastern Weddell Sea) When first sighted, an iceberg’s point of origin is documented by USNIC. -
SAR Image Observations of the A-68 Iceberg Drift Ludwin Lopez-Lopez1, Flavio Parmiggiani2, Miguel Moctezuma-Flores 1, and Lorenzo Guerrieri3 1UNAM, Fac
https://doi.org/10.5194/tc-2020-180 Preprint. Discussion started: 21 July 2020 c Author(s) 2020. CC BY 4.0 License. SAR image observations of the A-68 iceberg drift Ludwin Lopez-Lopez1, Flavio Parmiggiani2, Miguel Moctezuma-Flores 1, and Lorenzo Guerrieri3 1UNAM, Fac. Ingenieria, Cd. Universitaria, CDMX, 01430, Mexico 2CNR Institute of Polar Sciences, via Gobetti 101, Bologna, 40129, Italy 3INGV, via di Vigna Murata 605, Rome, 00143, Italy Correspondence: M. Moctezuma-Flores (mmoctezuma@fi-b.unam.mx) Abstract. A methodology for examining a temporal sequence of Synthetic Aperture Radar (SAR) images as applied to the detection of the A-68 iceberg and its drifting trajectory, is presented. Using an improved image processing scheme, the analysis covers a period of eighteen months and makes use of a set of Sentinel-1 images. A-68 iceberg calved from the Larsen C ice shelf in July 2017 and is one of the largest icebergs observed by remote sensing on record. After the calving, there was only a modest 5 decrease in the area (about 1%) in the first six months. It has been drifting along the east coast of the Antarctic Peninsula and it is expected to continue its path for more than a decade. It is important to track the huge A-68 iceberg to retrieve information on the physics of iceberg dynamics and for maritime security reasons. Two relevant problems are addressed by the image processing scheme presented here: (a) How to achieve quasi-automatic analysis using a fuzzy logic approach to image contrast enhancement, and (b) Adoption of ferromagnetic concepts to define a stochastic segmentation. -
Quantifying Iceberg Calving Fluxes with Underwater Noise
https://doi.org/10.5194/tc-2019-247 Preprint. Discussion started: 4 November 2019 c Author(s) 2019. CC BY 4.0 License. Quantifying iceberg calving fluxes with underwater noise 5 Oskar Glowacki1,2 and Grant B. Deane1 1Marine Physical Laboratory, Scripps Institution of Oceanography, La Jolla, USA 2Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland Correspondence to: Oskar Glowacki ([email protected]) 10 Abstract. Accurate estimates of calving fluxes are essential to understand small-scale glacier dynamics and quantify the contribution of marine-terminating glaciers to both eustatic sea level rise and the freshwater budget of polar regions. Here we investigate the application of ambient noise oceanography to measure calving flux using the underwater sounds of iceberg- water impact. A combination of time-lapse photography and passive acoustics is used to determine the relationship between the mass and impact noise of 169 icebergs generated by subaerial calving events from Hans Glacier, Svalbard. The analysis 15 includes three major factors affecting the observed noise: 1. fluctuation of the thermohaline structure, 2. variability of the ocean depth along the waveguide, and 3. reflection of impact noise from the glacier terminus. A correlation of 0.76 is found between the (log-transformed) kinetic energy of the falling iceberg and the corresponding acoustic energy. An error-in- variables linear regression is applied to estimate the coefficients of this relationship. Energy conversion coefficients for non- transformed variables are 8 × 10−7 and 0.92, respectively for the multiplication factor and exponent of the power law. As 20 we demonstrate, this simple model can be used to measure solid ice discharge from Hans Glacier. -
Interannual Variability in Transpolar Drift Ice Thickness and Potential Impact of Atlantification
https://doi.org/10.5194/tc-2020-305 Preprint. Discussion started: 22 October 2020 c Author(s) 2020. CC BY 4.0 License. Interannual variability in Transpolar Drift ice thickness and potential impact of Atlantification H. Jakob Belter1, Thomas Krumpen1, Luisa von Albedyll1, Tatiana A. Alekseeva2, Sergei V. Frolov2, Stefan Hendricks1, Andreas Herber1, Igor Polyakov3,4,5, Ian Raphael6, Robert Ricker1, Sergei S. Serovetnikov2, Melinda Webster7, and Christian Haas1 1Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany 2Arctic and Antarctic Research Institute, St. Petersburg, Russian Federation 3International Arctic Research Center, University of Alaska Fairbanks, Fairbanks, US 4College of Natural Science and Mathematics, University of Alaska Fairbanks, Fairbanks, US 5Finnish Meteorological Institute, Helsinki, Finland 6Thayer School of Engineering at Dartmouth College, Hanover, US 7Geophysical Institute, University of Alaska Fairbanks, Fairbanks, US Correspondence: H. Jakob Belter ([email protected]) Abstract. Changes in Arctic sea ice thickness are the result of complex interactions of the dynamic and variable ice cover with atmosphere and ocean. Most of the sea ice exits the Arctic Ocean through Fram Strait, which is why long-term measurements of ice thickness at the end of the Transpolar Drift provide insight into the integrated signals of thermodynamic and dynamic influences along the pathways of Arctic sea ice. We present an updated time series of extensive ice thickness surveys carried 5 out at the end of the Transpolar Drift between 2001 and 2020. Overall, we see a more than 20% thinning of modal ice thickness since 2001. A comparison with first preliminary results from the international Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) shows that the modal summer thickness of the MOSAiC floe and its wider vicinity are consistent with measurements from previous years. -
ICENET: a Semantic Segmentation Deep Network for River Ice by Fusing Positional and Channel-Wise Attentive Features
remote sensing Article ICENET: A Semantic Segmentation Deep Network for River Ice by Fusing Positional and Channel-Wise Attentive Features Xiuwei Zhang 1,2,† , Jiaojiao Jin 1,2,†, Zeze Lan 1,2,*, Chunjiang Li 3, Minhao Fan 4, Yafei Wang 5, Xin Yu 3 and Yanning Zhang 1,2 1 School of Computer Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China; [email protected] (X.Z.); [email protected] (J.J.); [email protected] (Y.Z.) 2 National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi’an 710072, China 3 Yellow River Institute of Hydraulic Research, Zhengzhou 450003, China; [email protected] (C.L.); [email protected] (X.Y.) 4 Hydrology Bureau of the Yellow River Conservancy Commission, Zhengzhou 450004, China; [email protected] 5 Ningxia–Inner Mongolia Hydrology and Water Resource Bureau, Baotou 014030, China; [email protected] * Correspondence: [email protected] † These authors contributed equally to this work. Received: 30 October 2019; Accepted: 3 January 2020; Published: 9 January 2020 Abstract: River ice monitoring is of great significance for river management, ship navigation and ice hazard forecasting in cold-regions. Accurate ice segmentation is one most important pieces of technology in ice monitoring research. It can provide the prerequisite information for the calculation of ice cover density, drift ice speed, ice cover distribution, change detection and so on. Unmanned aerial vehicle (UAV) aerial photography has the advantages of higher spatial and temporal resolution. As UAV technology has become more popular and cheaper, it has been widely used in ice monitoring. -
Summary of Drift Ice in the Okhotsk Sea
Title Summary of Drift Ice in the Okhotsk Sea Author(s) WATANABE, Kantaro Citation Physics of Snow and Ice : proceedings, 1(1), 667-686 Issue Date 1967 Doc URL http://hdl.handle.net/2115/20333 Type bulletin (article) International Conference on Low Temperature Science. I. Conference on Physics of Snow and Ice, II. Conference on Note Cryobiology. (August, 14-19, 1966, Sapporo, Japan) File Information 1_p667-686.pdf Instructions for use Hokkaido University Collection of Scholarly and Academic Papers : HUSCAP Summary of Drift Ice in the Okhotsk Sea* Kantaro WATANABE lilt ill llt *- Uil The Kobe Marine Observatory, Kobe, Japan Abstract Owing to the dominance of cold northerly winds in winter and to the thinness of the thermo haline convection layer in the sea due to the very low saline surface water in the northwestern half of the Okhotsk Sea, ice formation begins at its northwestern corner roughly in the middle of November. As the season advances, the ice area extends southeastwards reaching the northern tip of Sakhalin around the beginning of December, then southward along the east coast of the island. It usually reaches one of its southern tips at the end of the month and in the middle of January it reaches the northeast coast of Hokkaido, at the southernmost corner of the sea. Such southward extending of ice coverage in the western region of the sea is facilitated by the combined action of the persistent northerly wind and a notable flow of the low saline surface water in the same direction, namely the East Sakhalin Current. In other words, the current carries southward not only the ice-forming water of low salinity but also carries a large amount of icefloes with a mean thickness of 1 m. -
Iceberg Calving Dynamics of Jakobshavn Isbrę, Greenland
ICEBERG CALVING DYNAMICS OF JAKOBSHAVN ISBRÆ, GREENLAND By Jason Michael Amundson RECOMMENDED: Advisory Committee Chair Chair, Department of Geology and Geophysics APPROVED: Dean, College of Natural Science and Mathematics Dean of the Graduate School Date ICEBERG CALVING DYNAMICS OF JAKOBSHAVN ISBRÆ, GREENLAND A THESIS Presented to the Faculty of the University of Alaska Fairbanks in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY By Jason Michael Amundson, B.S., M.S. Fairbanks, Alaska May 2010 iii Abstract Jakobshavn Isbræ, a fast-flowing outlet glacier in West Greenland, began a rapid retreat in the late 1990’s. The glacier has since retreated over 15 km, thinned by tens of meters, and doubled its discharge into the ocean. The glacier’s retreat and associated dynamic adjustment are driven by poorly-understood processes occurring at the glacier-ocean in- terface. These processes were investigated by synthesizing a suite of field data collected in 2007–2008, including timelapse imagery, seismic and audio recordings, iceberg and glacier motion surveys, and ocean wave measurements, with simple theoretical considerations. Observations indicate that the glacier’s mass loss from calving occurs primarily in sum- mer and is dominated by the semi-weekly calving of full-glacier-thickness icebergs, which can only occur when the terminus is at or near flotation. The calving icebergs produce long-lasting and far-reaching ocean waves and seismic signals, including “glacial earth- quakes”. Due to changes in the glacier stress field associated with calving, the lower glacier instantaneously accelerates by ∼3% but does not episodically slip, thus contradicting the originally proposed glacial earthquake mechanism. -
Sea Ice Cover in Isfjorden and Hornsund, Svalbard (2000-2014) from Remote Sensing Data S
Manuscript prepared for J. Name with version 2015/04/24 7.83 Copernicus papers of the LATEX class copernicus.cls. Date: 3 December 2015 Sea ice cover in Isfjorden and Hornsund, Svalbard (2000-2014) from remote sensing data S. Muckenhuber1, F. Nilsen2,3, A. Korosov1, and S. Sandven1 1Nansen Environmental and Remote Sensing Center (NERSC), Thormøhlensgate 47, 5006 Bergen, Norway 2University Centre in Svalbard (UNIS), P.O. Box 156, 9171 Longyearbyen, Norway 3Geophysical Institute, University of Bergen, P.O. Box 7800, 5020 Bergen, Norway Correspondence to: S. Muckenhuber ([email protected]) Abstract. A satellite database including 16 555 satellite images and ice charts displaying the area of Isfjorden, Hornsund and the Svalbard region has been established with focus on the time period 2000–2014. 3319 manual interpretations of sea ice conditions have been conducted, resulting in two time series dividing the area of Isfjorden and Hornsund into “Fast ice” (sea ice attached to the coast- 5 line), “Drift ice” and “Open water”. The maximum fast ice coverage of Isfjorden is > 40 % in the periods 2000–2005 and 2009–2011 and stays < 30 % in 2006–2008 and 2012–2014. Fast ice cover in Hornsund reaches > 40 % in all considered years, except for 2012 and 2014, where the maximum stays < 20 %. The mean seasonal cycles of fast ice in Isfjorden and Hornsund show monthly aver- aged values of less than 1 % between July and November and maxima in March (Isfjorden, 35.7 %) 10 and April (Hornsund, 42.1 %) respectively. A significant reduction of the monthly averaged fast ice coverage is found when comparing the time periods 2000–2005 and 2006–2014. -
Frost Considerations in Highway Pavement Design: West-Central United States
Frost Considerations in Highway Pavement Design: West-Central United States F. C. FREDRICKSON, Assistant Materials and Research Engineer, Minnesota Depart ment of Highways •ASSESSING the harmful effects of frost action on highways and adjusting highway de sign to eliminate the harmful effects is a major effort in frost areas. The problems are roughness resulting from freezing, weakening of road structures on thawing, and the deterioration of materials and structures resulting from freeze-thaw. The number of problems, their seriousness, and the nature of corrective action depend on the se verity of the frost action which is r elated to geographi c location. The area considered in this report includes Arkansas, Oklahoma, Missouri, Kansas, Nebraska, Iowa, South Dakota, North Dakota and Minnesota. GENERAL INFORMATION This area involves regions of diverse climate and topography, ranging from the forest and lake region of northern Minnesota through the vast plains and lowlands to the Ozarks in Missouri and Arkansas. It can generally be subdivided into three phys iographic provinces: the Great Plains, Central Lowlands, and the Ozark Plateau re gion (Fig. 1). The Great Plains region is part of the high Piedmont area located at the foot of the Rockies. Elevations gradually rise from 1, 000 ft in the east to 5, 000 ft in the west. Grazing and winter wheat farming reflect the moisture deficiency of the area. Elevations in the Central Lowlands are fairly uniform ranging from 500 to approxi mately 1, 500 ft. This province, trending north-south through the area, forms the basis for the rich agricultural economy of the Cotton Belt, Corn Belt, and the Spring Wheat regions in the Dakotas. -
Ice-Rafted Detritus Events in the Arctic During the Last Glacial Interval, and the Timing of the Innuitian and Laurentide Ice Sheet Calving Events Dennis A
Old Dominion University ODU Digital Commons OEAS Faculty Publications Ocean, Earth & Atmospheric Sciences 8-2008 Ice-Rafted Detritus Events in the Arctic During the Last Glacial Interval, and the Timing of the Innuitian and Laurentide Ice Sheet Calving Events Dennis A. Darby Old Dominion University, [email protected] Paula Zimmerman Old Dominion University Follow this and additional works at: https://digitalcommons.odu.edu/oeas_fac_pubs Part of the Glaciology Commons, and the Oceanography and Atmospheric Sciences and Meteorology Commons Repository Citation Darby, Dennis A. and Zimmerman, Paula, "Ice-Rafted Detritus Events in the Arctic During the Last Glacial Interval, and the Timing of the Innuitian and Laurentide Ice Sheet Calving Events" (2008). OEAS Faculty Publications. 18. https://digitalcommons.odu.edu/oeas_fac_pubs/18 Original Publication Citation Darby, D. A., & Zimmerman, P. (2008). Ice-rafted detritus events in the Arctic during the last glacial interval, and the timing of the Innuitian and Laurentide ice sheet calving events. Polar Research, 27(2), 114-127. doi: 10.1111/j.1751-8369.2008.00057.x This Article is brought to you for free and open access by the Ocean, Earth & Atmospheric Sciences at ODU Digital Commons. It has been accepted for inclusion in OEAS Faculty Publications by an authorized administrator of ODU Digital Commons. For more information, please contact [email protected]. Ice-rafted detritus events in the Arctic during the last glacial interval, and the timing of the Innuitian and Laurentide ice sheet calving events Dennis A. Darby & Paula Zimmerman Dept. of Ocean, Earth, and Atmospheric Sciences, Old Dominion University, Norfolk, VA 23529, USA Keywords Abstract Arctic Ocean; ice-rafting events; glacial collapses; sea ice; Fe grain provenance.