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20 results for “Islandic glaciers”
UAV-based colour-infrared orthomosaics and digital elevation models of basalts and rock glaciers on Disko Island, West Greenland
<p><span>This data set contains multispectral surveys conducted with an unoccupied aerial vehicle over rock glaciers and steep mafic outcrops (intrusive and flood volcanics) near the coastline of Disko Island.</span></p> <ul> <li><span>Acquisition date: 07.08.2019 – 10.08.2019</span></li> <li><span>Location: Illukunnguaq, Disko Island, Greenland</span></li> <li><span>UAV: SenseFly eBee Plus</span></li> <li><span>Flight altitude above ground level: >100m</span></li> <li><span>Image Overlap forward/side: various</span></li> <li><span>Camera: Parrot Sequoia multispectral</span></li> <li><span>EPSG: 32622</span></li> <li><span>Center coordinates: 69.885277°N, -52.577724°E</span></li> <li><span>Flight mode: automatic flight plan</span></li> </ul> <p><span>Data products: </span></p> <ul> <li><span>Orthomosaic colour-infrared, 10-16 cm pixel resolution</span></li> <li><span>Colour-infrared spectral bands: 790nm, 660nm, 550nm</span></li> <li><span>DEM, 20-30cm pixel resolution</span></li> <li><span>Data coverage: approx. 5500 x 2500 m</span></li> <li><span>Elevation profile: 20-680m </span></li> <li><span>Processing in Agisoft Metashape</span></li> </ul> <p><span>Additional data supplement for article:<br>Barnes, E. (2020). Assessment of Drone-Borne Multispectral Mapping in the Exploration of Magmatic Ni-Cu Sulphides–an Example from Disko Island, West Greenland. <br><em>URN: urn:nbn:se:uu:diva-418858</em></span></p> <p>MULSEDRO field campaign was conducted under scientific survey licence (VU-00158-2019) within mineral exploration licence MEL 2018-16 by Blue Jay Mining PLC. This research has been supported by the project MULSEDRO, funded by HZDR-HIF & EITRawMaterials (project ID 16193) and the European Union.</p>
Observed and WRF-simulated near-surface meteorological parameters on selected James Ross Island glaciers during heatwaves in summer 2022/23
<p>The files contain time series of near-surface meteorological conditions observed on Triangular Glacier and Davies Dome on James Ross Island, Antarctica and simulated time series for these glaciers based on the Weather Research and Forecasting (WRF) model output. Observations of 2-m air temperature, 2-m wind speed, net radiation and glacier surface height are available from 01 November 2022 to 16 January 2023 (net radiation is available only on Triangular Glacier). Simulated values of 2-m air temperature, 2-m wind speed, net radiation, sensible and latent heat fluxes are available from 08 November 2022 to 16 January 2023.</p>
Model data for "Recent irreversible retreat phase of Pine Island Glacier"
<p>Model inputs and outputs for the experiments in Reed et al., 2023 "Recent irreversible retreat phase of Pine Island Glacier".</p>
Model data for "Melt sensitivity of irreversible retreat of Pine Island Glacier"
<p>Model inputs and outputs for the experiments in Reed et al., 2024 "Melt sensitivity of irreversible retreat of Pine Island Glacier".</p>
Modeling ocean heat transport to the grounding lines of Pine Island, Thwaites, Smith, and Kohler glaciers, West Antarctica
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Pine Island Glacier ice shelf ocean cavity self-consistent spatial discretization mesh
<p>Pine Island Glacier ice shelf ocean cavity<br> ==========================================</p> <p>An unstructured mesh spatial discretisation of the Pine Island Glacier ice shelf ocean cavity.</p> <p>This is stored in an unstructured VTU file defined by the visualisation toolkit VTK [2].</p> <p>A state PVSM file for Paraview [3] is also provided to reproduce visualisations shown in [1]. Note that Paraview requires absolute pathnames, so it may be necessary to edit file references to the VTU file in this state file.</p> <p>Files<br> -----</p> <p>- PineIslandGlacierIceShelfOceanCavity.vtu<br> - PineIslandGlacierIceShelfOceanCavity_grid_quality_analysis.pvsm</p> <p>Author<br> ------</p> <p>- Dr Adam S. Candy <a.s.candy@tudelft.nl>, <candy@cantab.net><br> - Technische Universiteit Delft<br> - Imperial College London</p> <p>References<br> ----------</p> <p>[1] Candy, A.S., 2016. A consistent approach to unstructured mesh generation for geophysical models. In review. Preprint available at https://arxiv.org/abs/1703.08491.</p> <p>[2] The Visualization Toolkit (VTK), version 5.10.1. URL: http://www.vtk.org.</p> <p>[3] Paraview, version 4.3.1. https://www.paraview.org.</p>
Responses of Pine Island and Thwaites glaciers to melt and sliding parameterizations
<p>Pine Island and Thwaites glaciers are the two largest contributors to sea level rise from Antarctica. Here we examine the influence of basal friction and melt in determining projected losses. We examine both Weertman and Coulomb friction laws with explicit weakening as the ice thins to flotation, which many friction laws include implicitly via the effective pressure. We find relatively small differences with the choice of friction law (Weertman or Coulomb) but find losses are highly sensitive to the rate at which the basal traction is reduced as the area above the grounding line thins. Consistent with earlier work on Pine Island Glacier, we find sea level contributions from both glaciers vary linearly with the melt volume averaged over time and space, with little influence from the spatial or temporal distribution of melt. Based on recent estimates of melt from other studies, our work simulations suggest that melt-driven combined sea-level rise contribution from both glaciers is unlikely to exceed 10 cm by 2200. We do not include other factors, such as ice shelf breakup that might increase loss, nor factors such as increased accumulation and isostatic uplift that may mitigate loss.</p>
Datasets of surface ice flow speed for Pine Island Glacier, Ferrigno Ice Stream and Leonardo Glacier
<p>Here we make available the datasets used in my MRes dissertation as part of the School of Earth and Environment at the University of Leeds. The research paper presents a novel method to automatically detect speed anomalies in ice velocity datasets.</p>
BISICLES Pine Island Glacier simulations with linear friction
<p>Model simulations of the ice sheet model BISICLES for 100 years on a set of topographies, sampled form a GP (plus BM2 and BedMachine) with linear Weertman friction law.</p> <p>See chapter 5 of <a href="https://doi.org/10.21954/ou.ro.0001223d">https://doi.org/10.21954/ou.ro.0001223d</a> for more information</p>
BISICLES Pine Island Glacier simulations with nonlinear friction
<p>Model simulations of the ice sheet model BISICLES for 100 years on a set of topographies, sampled form a GP (plus BM2 and BedMachine) with m=1/3 Weertman friction law exponent.</p> <p>See chapter 5 of DOI: <a href="https://doi.org/10.21954/ou.ro.0001223d">https://doi.org/10.21954/ou.ro.0001223d</a> for more information</p>
Responses of Pine Island and Thwaites glaciers to melt and sliding parameterizations
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On following pages: 48. Mutable Shrew (Sorex mutabilis); 49. Verapaz Shrew (Sorex veraepacis); 50. Rock Shrew (Sorex Mexican Long-tailed Shrew (Sorex oreopolus); 55. Orizaba Long-tailed Shrew (Sorex orizabae); 56. Chestnut-bellied Shrew (Sorex rohweri): 60. South-eastern Shrew (Sorex longirostris); 61. Masked Shrew (Sorex cinereus); 62. Maryland Shrew Mountain Shrew (Sorex milleri): 66. Preble's Shrew (Sorex preblei); 67. Prairie Shrew (Sorex hayden); 68. Pribilof Island Saint Lawrence Island Shrew (Sorex jackson); 72. Kamchatka Shrew (Sorex camtschaticus); 73. Paramushir Shrew (Sorex (Sorex ornatus); 77. American Water Shrew (Sorex palustris); 78. Western Water Shrew (Sorex navigaton; 79. Glacier Bay Baird's Shrew (Sorex bairdi); 83. Pacific Shrew (Sorex pacificus); 84. Fog Shrew (Sorex sonomae); 85. New Mexico Shrew dispan; 51. Smoky Shrew (Sorex fumeus); 52. Inyo Shrew (Sorex tenellus); 53. Dwarf Shrew (Sorex nanus); 54. (Sorex ventralis); 57. Veracruz Shrew (Sorex veraecrucis); 58. Ixtlan Shrew (Sorex ixtlanensis); 59. Olympic Shrew (Sorex fontinalis); 63. Mount Lyell Shrew (Sorex lyell); 64. Zacatecas Shrew (Sorex emarginatus), 65. Carmen Shrew (Sorex pribilofensis); 69. Barren Ground Shrew (Sorex ugyunak); 70. Portenko's Shrew (Sorex portenkol); 71. leucogasten; 74. American Pygmy Shrew (Sorex hoyi); 75. Vagrant Shrew (Sorex vagrans); 76. Ornate Shrew Water Shrew (Sorex alaskanus); 80. Eastern Water Shrew (Sorex albibarbis); 81. Marsh Shrew (Sorex bendiril); 82. (Sorex neomexicanus); 86. Montane Shrew (Sorex monticolus). in Soricidae
On following pages: 48. Mutable Shrew (Sorex mutabilis); 49. Verapaz Shrew (Sorex veraepacis); 50. Rock Shrew (Sorex Mexican Long-tailed Shrew (Sorex oreopolus); 55. Orizaba Long-tailed Shrew (Sorex orizabae); 56. Chestnut-bellied Shrew (Sorex rohweri): 60. South-eastern Shrew (Sorex longirostris); 61. Masked Shrew (Sorex cinereus); 62. Maryland Shrew Mountain Shrew (Sorex milleri): 66. Preble's Shrew (Sorex preblei); 67. Prairie Shrew (Sorex hayden); 68. Pribilof Island Saint Lawrence Island Shrew (Sorex jackson); 72. Kamchatka Shrew (Sorex camtschaticus); 73. Paramushir Shrew (Sorex (Sorex ornatus); 77. American Water Shrew (Sorex palustris); 78. Western Water Shrew (Sorex navigaton; 79. Glacier Bay Baird's Shrew (Sorex bairdi); 83. Pacific Shrew (Sorex pacificus); 84. Fog Shrew (Sorex sonomae); 85. New Mexico Shrew dispan; 51. Smoky Shrew (Sorex fumeus); 52. Inyo Shrew (Sorex tenellus); 53. Dwarf Shrew (Sorex nanus); 54. (Sorex ventralis); 57. Veracruz Shrew (Sorex veraecrucis); 58. Ixtlan Shrew (Sorex ixtlanensis); 59. Olympic Shrew (Sorex fontinalis); 63. Mount Lyell Shrew (Sorex lyell); 64. Zacatecas Shrew (Sorex emarginatus), 65. Carmen Shrew (Sorex pribilofensis); 69. Barren Ground Shrew (Sorex ugyunak); 70. Portenko's Shrew (Sorex portenkol); 71. leucogasten; 74. American Pygmy Shrew (Sorex hoyi); 75. Vagrant Shrew (Sorex vagrans); 76. Ornate Shrew Water Shrew (Sorex alaskanus); 80. Eastern Water Shrew (Sorex albibarbis); 81. Marsh Shrew (Sorex bendiril); 82. (Sorex neomexicanus); 86. Montane Shrew (Sorex monticolus).
Additional code and data for running the simulations presented in the article "Using observations of surface fracture to address ill-posed ice softness estimation over Pine Island Glacier"
<p>The data required to run the inverse problems described in the article "Using observations of surface fracture to address ill-posed ice softness estimation over Pine Island Glacier" along with code specific to the modified inverse problem described therein, additional to that downloadable from BISICLES is downloadable from https://commons.lbl.gov/display/bisicles/BISICLES.</p> <p>These data are restricted to those involved in reviewing the aforementioned article.</p>
Rapid Glacier Retreat in Arctic Canada: Terminus Migration Patterns on Bylot Island
<p>These shapefiles represent the glacier terminus positions on Bylot Island, Arctic Canada, tracked from 1985 to 2020, as part of our study submitted to the Journal of Glaciology on the spatial-temporal changes in glacier terminus dynamics over this period. </p>
Graph neural network emulator for modeling of ice dynamics and calving in the Pine Island Glacier, Antarctica
<p>These files include the following codes and datasets for developing graph neural network (GNN) emulators for the Ice-sheet and Sea-level System Model (ISSM) for modeling ice sheet dynamics and calving in the Pine Island Glacier, Antarctica</p> <ul> <li>ISSM_DGL_PIG2.py: Python file for training GNN models (*single.py: code for single GPU environment)</li> <li>ISSM_CNN_PIG.py: Python file for training convolutional neural network (CNN) models</li> <li>*.mat: Datasets of the ISSM transient simulation results (graphs for GNNs)</li> <li>*.pkl: Datasets of the ISSM transient simulation results (grids for CNNs)</li> </ul>
Thwaites and Pine Island Glacier change 2016-2021
<p>Visualization of <a href="https://www.esa.int/Applications/Observing_the_Earth/Copernicus/Sentinel-1">Sentinel</a> 1 radar images using <a href="https://matplotlib.org/cmocean/">cmocean</a> ice colourmap, similar to the approach used by <a href="https://www.pnas.org/content/117/40/24735/tab-figures-data">Lhermitte</a>. Data from <a href="https://www.nasa.gov/mission_pages/Grace/index.html">GRACE</a> was processed by <a href="https://data1.geo.tu-dresden.de/ais_gmb/index.html#grid">TU Dresden</a>. Funded by Rijkswaterstaat KPP. </p>
BISICLES Pine Island Glacier simulations with strongly nonlinear friction
<p>Model simulations of the ice sheet model BISICLES for 100 years on a set of topographies, sampled form a GP (plus BM2 and BedMachine) with m=1/8 Weertman friction law exponent.</p> <p>See chapter 5 of DOI: <a href="https://doi.org/10.21954/ou.ro.0001223d">https://doi.org/10.21954/ou.ro.0001223d</a> for more information</p>
The role of snowmelt, glacier melt and rainfall in streamflow dynamics on James Ross Island, Antarctic Peninsula
<p>Description: The file in this record represents a supplementary data for the journal paper <br>Ondřej Nedělčev, Michael Matějka, Kamil Láska, Zbyněk Engel, Jan Kavan, and Michal Jenicek (2024):<br>The role of snowmelt, glacier melt and rainfall in streamflow dynamics on James Ross Island, Antarctic Peninsula, DOY: 10.5281/zenodo.11001370 </p> <p>The file contains simulations of the HBV-light rainfall-runoff model for Triangular catchment on James Ross Island.<br>The model simulated different water balance components, such as runoff, snow water equivalent, galcier water equivalent, <br>evapotranspiration and groundwater storage for the study period 2010/11–2020/21.</p>
Rock glaciers on South Shetland Islands, Antarctic Peninsula, Version 1
In the South Shetland Islands the investigators found eight active rock glaciers, no relict or fossil examples, and seven protalus ramparts. The rock glaciers are located on peninsulas and capes of the two main islands of the archipelago: King George and Livingston. The South Shetland Islands have a cold oceanic climate, characteristic of the maritime Antarctica, with frequent summer rains and moderate thermal amplitude, and a cold and humid morphoclimatic system, of crionival character. These climatic parameters facilitate the operation of periglacial processes, and the presence of a usually saturated active layer in summer. In the South Shetland Islands the presence of rock glaciers have been identified on Livingston Island (Martinez de Pison et al., 1991; Lopez-Martinez et al., 1992a, 1992b), on Admiralty Bay, in King George Island (Birkenmajer, 1981; Barsch et al., 1985) and in Fildes Peninsula (Barsch et al. 1985; Barsch, 1996; Cheng et al., 1996). Four further active rock glaciers have been identified during the present study in King George and Livingston Island (Serrano and Lopez-Martinez, in prep.). The rock glaciers are located in marginal zones, between 300 m asl and sea level, which has been recently deglaciated, and principally under 70 m asl, near 100 m under the Median Equilibrium Line Altitude (MELA). There are indications of a recent diminution of activity, with blurred fronts, mass movements in fronts and sides, lichen colonization and glaciokarstic processes. All of these indicate an inherited dynamic of past conditions in lower altitudes.References to rock glaciers are scarce in Antarctica, limited to a few examples in the Transantarctic Mountains, Victoria Land, South Georgia, James Ross Island, and South Shetland Islands. The spatial pattern of rock glaciers indicates that they are more represented in the periphery of Antarctica than in the interior of the continent, and are particularly numerous in the Antarctic Peninsula region. These data are presented on the CAPS Version 1.0 CD-ROM, June 1998.
Rock glaciers, Disko Island, Greenland, Version 1
Disko Island (8600 km2) is situated west of central mainland Greenland. The island is part of the Tertiary volcanic province of West Greenland and is mainly made up by lavas. The landscape is a plateau basalt landscape with cirque carved lava plateaus and U-shaped valleys and fjords. Rock glaciers are frequent in Disko Island (Humlum, 1982). In southern Disko Island, about 60 km SSE of the two study sites, meteorological observations have been carried out since 1923 in the village of Godhavn. The present (1961-1990) mean annual air temperature is -3.9 C, the coldest month is March (-15.1 C), and July is the warmest month (7.1 C). The mean annual precipitation at Godhavn is about 400 mm water equivalent. Most of the precipitation (75 %) usually falls during the period June to December, associated with advection of moist, maritime air masses from the south and southwest along the Davis Strait. The remaining part of the year is comparatively dry, as it is dominated by cold and dry katabatic air masses flowing off the Greenland Ice Sheet to the east. Approximately 60-70 % of the mean annual precipitation is snow and in Godhavn a persistent snow cover is registered from late September to late May.No systematic mapping of permafrost or permafrost related terrain features have been carried out in this part of West Greenland. Weidick (1968), however, places Disko Island within the zone of continuous permafrost. This is supported by the occurrence of open system pingos (Christiansen, 1995) and numerous rock glaciers (Humlum, 1982, 1984, 1988a, 1988b, 1996; Humlum et al., 1995; Rasch et al. 1996), which are geomorphic indications of the presence of widespread permafrost in Disko Island. Adopting a standard continental geothermal gradient of about 0.033 C m-1, the mean annual air temperature of -7.5 C (1991-96) indicates a potential permafrost thickness of about 175-225 m. This estimate is presumably somewhat conservative, as the Little Ice Age annual air temperature presumably was about 2C below modern values (Humlum, 1996), which would provide conditions for a somewhat thicker permafrost layer than is suggested by modern meteorological values. The high frequency of rock glaciers on Disko Island is presumably derived from high rock weathering rates (Humlum, 1992). These data are presented on the CAPS Version 1.0 CD-ROM, June1998.
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