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42 results for “ice dynamics”
Data from: Variable sea-ice conditions influence trophic dynamics in an Arctic community of marine top predators
Sea‐ice coverage is a key abiotic driver of annual environmental conditions in Arctic marine ecosystems and could be a major factor affecting seabird trophic dynamics. Using stable isotope ratios of carbon (δ13C) and nitrogen (δ15N) in eggs of thick‐billed murres (Uria lomvia), northern fulmars (Fulmarus glacialis), glaucous gulls (Larus hyperboreus), and black‐legged kittiwakes (Rissa tridactyla), we investigated the trophic ecology of prebreeding seabirds nesting at Prince Leopold Island, Nunavut, and its relationship with sea‐ice conditions. The seabird community of Prince Leopold Island had a broader isotopic niche during lower sea‐ice conditions, thus having a more divergent diet, while the opposite was observed during years with more extensive sea‐ice conditions. Species' trophic position was influenced by sea ice; in years of lower sea‐ice concentration, gulls and kittiwakes foraged at higher trophic levels while the opposite was observed for murres and fulmars. For murres and fulmars over a longer time series, there was no evidence of the effect of sea‐ice concentration on species' isotopic niche. Results suggest a high degree of adaptation in populations of high Arctic species that cope with harsh and unpredictable conditions. Such different responses of the community isotopic niche also show that the effect of variable sea‐ice conditions, despite being subtle at the species level, might have larger implications when considering the trophic ecology of the larger seabird community. Species‐specific responses in foraging patterns, in particular trophic position in relation to sea ice, are critical to understanding effects of ecosystem change predicted for a changing climate.
Data from: Dynamic ice loss from the Greenland Ice Sheet driven by sustained glacier retreat
<p>Here we share remotely-sensed Greenland outlet glacier data for 234 individual glaciers. Data include observations of mena monthly discharge (ice volume flux exported by the glacier), front position changes, velocity, and ice thickness for the 1985-2018 period. Data will be periodically updated as needed.</p> <p> </p> <p>The Greenland Ice Sheet is losing mass at accelerated rates in the 21st century, making it the largest single contributor to rising sea levels. Faster flow of outlet glaciers has substantially contributed to this loss, with the cause of speedup, and potential for future change, uncertain. Here we combine more than three decades of remotely sensed observational products of outlet glacier velocity, elevation, and front position changes over the full ice sheet. We compare decadal variability in discharge and calving front position and find that increased glacier discharge was due almost entirely to the retreat of glacier fronts, rather than inland ice sheet processes, with a remarkably consistent speedup of 4-5% per km of retreat across the ice sheet. We show that widespread retreat between 2000 and 2005 resulted in a step-increase in discharge and a switch to a new dynamic state of sustained mass loss that would persist even under a decline in surface melt.</p>
Dataset for "History and dynamics of Fennoscandian Ice Sheet retreat, contemporary ice-dammed lake evolution, and faulting in the Torneträsk area, northwestern Sweden"
<p>This dataset contains the GIS shapefiles and the high resolution map for the manuscript "Ice-dammed lakes and contemporary faulting in the Torneträsk region of northern Sweden are key to understanding regional Fennoscandian Ice Sheet deglaciation patterns and dynamics" in preparation for <em>The Cryosphere</em>. </p>
Impact of runoff temporal distribution on ice dynamics.
<p>These are the data related to the study about "Impact of runoff temporal distribution on ice dynamics." <br> by Basile de Fleurian, Richard Davy and Petra M. Langebroek <br> <br> The data are the results of ISSM simulations as described in the publication and saved on a netCDF4 format. <br> Each tar files contain 100 ".nc" files each exported from a single simulation. </p> <ul> <li>"TimeshiftXX" identifies each simulation and has its own starting time.</li> <li>"SL" represents season length available in short medium or long.</li> <li>"LR" represent the Lapse Rate value only the standard mid LR is available here as presented in the manuscript.</li> <li>"DT" represents the length of the initiation of the melt season available in short medium or long.</li> <li>"Temp" represents the intensity of the melt season length available in low medium or high.</li> </ul> <p>The naming convention is such that :</p> <ul> <li>"-SLlow-LRmid-DTmid" replaces "SLlow-TempHigh"</li> <li>"-SLmid-LRmid-DTmid" replaces "SLmid-Tempmid"</li> <li>"-SLhigh-LRmid-DTmid" replaces "SLhigh-Templow" </li> </ul> <p>The different variables and their units are described in the netCDF file.<br> If you require further information or some variale that are not present in those files feel free to contact me at: <br> basile.defleurian@uib.no <br> </p>
The role of ocean and atmospheric dynamics in the marine-based collapse of the last Eurasian Ice Sheet
<p><strong>EIS_reconstruction.zip: </strong> .shp files of Eurasian Ice Sheet reconstruction 20-14 ka (1 ka time step)</p> <p><strong>EIS_thickness.zip</strong>: .shp files of Eurasian Ice Sheet thickness for 19 ka, 18 ka, 16 ka and 15 ka.</p> <p><strong>Supplementary Data 1:</strong> An Excel spreadsheet containing radiocarbon dates from the North Sea</p> <p><strong>Supplementary Data 2</strong>: An Excel spreadsheet containing radiocarbon dates from the Mid Norwegian margin</p> <p><strong>Supplementary Data</strong> <strong>3: </strong>An Excel spreadsheet containing radiocarbon dates from the Svalbard-Kara Sea-Barents Sea</p> <p><strong>Supplementary Data 4: </strong> An Excel spreadsheet containing model output GIA adjusted</p> <p><strong>Supplementary Data 5: </strong> An Excel spreadsheet containing Model output GIA adjusted -20%</p> <p><strong>Supplementary Data 6:</strong> An Excel spreadsheet containing Model output GIA adjusted +20%</p>
Groundwater dynamics beneath a marine ice sheet – supplementary animations
<p>Supplementary animations for the article "Groundwater dynamics beneath a marine ice sheet" by Gabriel J. Cairns, Graham P. Benham and Ian J. Hewitt. </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>
The Vegetation Dynamics in Response to Cooling Events from the Medieval Warm Period to the Little Ice Age in Southeast China
<p>Full palynological dataset from three-peats (Wangdongyang peat bog: WDY, 27°40′48″N、119°38′15″E, elevation: 1303 m; Xiyaohu peat bog: XYH15, 28°44′N, 115°40′E, elevation: 735m and XYH14 is close to XYH15; Yuhuashan peat bog: YHS2, 27°50′29″N, 115°38′54.98″E, elevation: 882 m) in the southeast of China.</p> <p>The dataset contains raw counts for pollen and ferns.</p>
Data supporting 'Modeling Antarctic ice shelf basal melt patterns using the one-Layer Antarctic model for Dynamical Downscaling of Ice--ocean Exchanges (LADDIE v1.0)'
<p>This data set contains the data produced for the paper 'Modeling Antarctic ice shelf basal melt patterns using the one-Layer Antarctic model for Dynamical Downscaling of Ice--ocean Exchanges (LADDIE v1.0)'</p> <p>The data set contains output from LADDIE simulations, including basal melt rates.</p> <p>The main simulations used in the man text are:</p> <p>- Crosson-Dotson: <a href="https://zenodo.org/api/files/0640a922-97a9-4ced-ad3d-dab66f05c696/CrossDots_0.5_tanh_Tdeep0.4_ztcl-500_050.nc">CrossDots_0.5_tanh_Tdeep0.4_ztcl-500_050.nc </a><br> - Filchner-Ronne: <a href="https://zenodo.org/api/files/0640a922-97a9-4ced-ad3d-dab66f05c696/FRIS_1.0_linear_S134.8_T1-2.3_720.nc">FRIS_1.0_linear_S134.8_T1-2.3_720.nc </a><br> </p> <p>The additional simulations included in the Appendix are:</p> <p>- 3D forcing of Crosson-Dotson: <a href="https://zenodo.org/api/files/0640a922-97a9-4ced-ad3d-dab66f05c696/CrossDots_0.5_mitgcm_2003_2008_100.nc">CrossDots_0.5_mitgcm_2003_2008_100.nc </a><br> - Tuning of Crosson-Dotson: XX_YY_ZZ.nc, where XX is the resolution in km, YY is the value for Cd,top, and ZZ is the value for Dmin<br> - Pine Island Ice Shelf: <a href="https://zenodo.org/api/files/0640a922-97a9-4ced-ad3d-dab66f05c696/PIG.nc">PIG.nc </a><br> </p>
Data used in the study: "The impact of landfast sea ice buttressing on ice dynamic speedup in the Larsen-B Embayment, Antarctica" by Surawy-Stepney et al, 2023.
<p>Calving front and sea ice front positions, mean speed and speed trend (pre and post sea ice evacuation) maps, timeseries of ice speed shown on Hektoria, Green, Evans, Crane Glaciers, freeboard and associated uncertainty point data over the Larsen-B Embayment, maps of thickness and bed topography used in the model simulations, basal melt rates over the Scar Inlet, and shapefiles used for the extraction of speed, modelled speed and sensitivity data.</p>
Data from: Variable sea-ice conditions influence trophic dynamics in an Arctic community of marine top predators
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Data from: Dynamic ice loss from the Greenland Ice Sheet driven by sustained glacier retreat
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CESM coupled simulation dataset with new (Mod_cp) and original (F09) dynamical coupling scheme from atmosphere, ocean and ice.
<p>1. Coupled models simulate air-sea interaction by coupling components models together. However, in state-of-the-art models such as CESM, the atmospheric model contains dynamic core and physic parameterization that are not differentiated during air-sea interaction. The dynamics-physics (D-P) coupling in CAM causes the prognostic winds of the dynamic core be interpolated onto non-staggered locations. We propose a new dynamical coupling scheme (denoted as Mod_cp) that eliminates the extra interpolation during D-P coupling for the atmosphere-ocean interaction, reducing the numerical diffusion during the dynamics-physics coupling for air-sea interactions.</p> <p>2. Using new and original dynamical coupling scheme, two coupled simulations (100 years) were conducted. Climatology of atmosphere (cam), ocean (ocn) and sea ice (ice) model simulations are archived here (last 50 years). The resolution is around 1 latitude x 1 longitude.</p> <p>3. B1850_mod_cp denotes the simulation with new dynamical coupling scheme, B1850_f09_g16 denotes the simulation with original scheme.</p>
Chapter 3 - A highly-dynamic East Antarctic Ice Sheet during the Miocene: A multi-proxy sedimentary provenance approach using in-situ 87Rb/87Sr dating of detrital K-feldspar in ODP Site 1165, Prydz Bay
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Chapter 2 - Dynamic collapse and regrowth of the Antarctic Ice Sheet in the Weddell Sea Sector during the Middle Miocene: A novel multi-proxy sedimentary provenance approach using in-situ 87Rb/87Sr dating of detrital K-feldspar - Supplementary Materials
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Data for publication "Chasing ice crystals: interlinking cloud microphysics and dynamics in cloud seeding plumes with Lagrangian trajectories"
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Dynamic coupling and spin-wave dispersions in a magnetic hybrid system made of an artificial spin-ice structure and an extended NiFe underlayer
<p>We present a combined experimental and numerical study of the spin-wave dispersion in a NiFe artificial spin-ice (ASI) system consisting of an array of stadium-shaped nanoislands deposited on the top of a continuous NiFe film with non-magnetic spacer layers of varying thickness.<br> The spin-wave dispersion, measured by wavevector resolved Brillouin light scattering spectroscopy in the Damon–Eshbach configuration, consists of a rich number of modes, with either stationary or propagating character. We find that the lowest frequency mode displays a bandwidth of ∼0.5 GHz, which is independent of the presence of the film underneath. On the contrary, the Brillouin light scattering intensity of some of the detected modes strongly depends on the presence of the extended thin-film underlayer. Micromagnetic simulations unveil the details of the dynamic coupling between the ASI lattice and film underlayer. Interestingly, the ASI lattice facilitates dynamics of the film either specific wavelengths or intensity modulation peculiar to the modes of the ASI elements imprinted in the film. Our results demonstrate that propagating spin waves can be modulated at the nanometer length scale by harnessing the dynamic mode coupling in the vertical, i.e., the out-of-plane direction of suitably designed magnonic structures.</p>
Dynamic regimes of the Greenland Ice Sheet emerging from interacting melt-elevation and glacial isostatic adjustment feedbacks - Dataset
<p>Research data for the publication "Dynamic regimes of the Greenland Ice Sheet emerging from interacting melt-elevation and glacial isostatic adjustment feedbacks" by Maria Zeitz, Jan M. Haacker, Jonathan F. Donges, Torsten Albrecht, and Ricarda Winkelmann, accepted for Earth System Dynamics in 2022.</p> <p> </p> <p>Find the output of the simulations with the Parallel Ice Sheet Model PISM in the pism_out* archives, the binary, the run scripts, the input data and the analysis scripts in the "other" archive.</p> <p> </p> <p> </p>
MetROMS model output for manuscript "Dynamic response to ice shelf basal meltwater relevant to explain observed sea ice trends near the Antarctic continental shelf"
<p>This dataset contains output of the MetROMS ocean/sea-ice/ice-shelf model.</p><p>The output was used for analyses of the manuscript:</p><p>Huneke W. G. C., Hobbs W.R., Klocker A., Naughten K. A., 2023, Dynamic response to ice shelf basal meltwater relevant to explain observed sea ice trends near the Antarctic continental shelf, Geophysical Research Letters, 50, e2023GL105435, https://doi.org/10.1029/2023GL105435</p><p>The Github repository https://github.com/wghuneke/MetROMS_BasalMelt_Perturbation/tree/main contains analysis (python) scripts for processing and visualising the model output.</p><p>Contact wilma.huneke@anu.edu.au if you need further information.</p>
Arctic Ice Dynamics Joint Experiment (AIDJEX) Second Pilot Study, March - May 1972: Still Images, Version 1
This data set contains photographs of camps on drifting sea ice from the early 1970s along with a few aerial photographs of the drifting ice station T-3. Most of the photos were taken during a pilot study conducted in 1972 in preparation for the AIDJEX main experiment of 1975 to 1976. There are 83 photos in JPEG format with captions available for 60 of them, which are listed in an accompanying Excel (.xlsx) file. The photos were taken by Tom Marlar of the U.S. Army Cold Regions Research and Engineering Laboratory (CRREL). Pat Martin took the aerial photographs.The pilot study included a main camp on drifting sea ice in the Beaufort Sea north of Alaska along with two satellite camps forming a station triangle with a 100 km side length. Additional details on the AIDJEX experiment can be found on the <a href="https://nsidc.org/data/aidjex">NOAA@NSIDC AIDJEX web site</a>. Also, a detailed description of the observational program and a running account of the results can be found in the AIDJEX Bulletin series published between 1970 and the end of the project in 1978. The Polar Science Center at the University of Washington maintains an AIDJEX electronic library at <a href="http://psc.apl.washington.edu/nonwp_projects/aidjex/">http://psc.apl.washington.edu/nonwp_projects/aidjex/</a>. It includes downloadable copies of the contents of all 40 AIDJEX Bulletins, AIDJEX Operations Manuals for the Pilot Study and the Main Experiment, and other resources.These photographs existed as 8” x 10” prints in the analog collection of material at NSIDC, and were scanned under the direction of the NSIDC archivist around 2007. The captions come from text that was written on the prints. Some captions may have been added to at a later date. At least four of the photographs are not from AIDJEX, but are aerial photographs of Fletcher’s Ice Island, or T-3. In 1972, when the AIDJEX pilot study was taking place in the Beaufort Sea, T-3 was north of the Canadian Archipelago and on its way East, as explained in the caption for AIDJEX_1972_002.jpg. According to the captions, the T-3 photos were taken in 1974. We believe that these photographs, like other aerial shots, were taken by Pat Martin, and included with other 8” x 10” prints that may have been sent to NSIDC by personnel at CRREL.The track of T-3, as well as data from T-3 and other drifting ice stations, can be found on the <a href="https://nsidc.org/data/g01938">EWG Arctic Meteorology and Climate Atlas</a>
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