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13 results for “Pine Island Glacier”
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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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>
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>
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