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15 results for “glacial isostatic adjustment”
Supplementary files for Vertical Displacements and Sea-Level Changes in Eastern North America Driven by Glacial Isostatic Adjustment: an Ensemble Modeling Approach
<p>Model input and output files associated with the manuscript entitled "Vertical Displacements and Sea-Level Changes in Eastern North America Driven by Glacial Isostatic Adjustment: an Ensemble Modeling Approach" that will be submitted to Journal of Geophysical Research.</p>
Supplementary data for: "The influence of reef isostasy, dynamic topography, and glacial isostatic adjustment on the Last Interglacial sea-level record of Northeastern Australia"
<p>This repository contains supplementary information and data for the paper: ""The influence of reef isostasy, dynamic topography, and glacial isostatic adjustment on the Last Interglacial sea-level record of Northeastern Australia", submitted to Communications Earth & Environment.</p> <p>This version (1.1) was produced to answer comments from reviewers.</p>
500-yr Projections of Thwaites Glacier, Antarctica, with MALI, including glacial isostatic adjustment
<p>This archive contains model code, results, and analysis scripts for<br> reproducing the material presented in the manuscript "Stabilizing effect of<br> bedrock uplift on retreat of Thwaites Glacier, Antarctica, at centennial<br> timescales" by Cameron Book, et al. Questions should be directed to Matt<br> Hoffman (mhoffman@lanl.gov).</p> <p>This archive contains the following directories:</p> <p>|-- MALI_code<br> |-- PIGL_control<br> |-- analysis<br> |-- control<br> |-- run_setup<br> |-- N1<br> |-- N2<br> |-- N3<br> |-- N4<br> `-- PIGL_N3</p> <p><br> 'MALI_code' is a snapshot of the MALI repository used for these simulations,<br> commit 454e0fc8bf384bee1c1560d6c3eaa5fae43bfdda.<br> This commit is present in an older MALI repository that is no longer<br> maintained, at https://github.com/MPAS-Dev/MPAS-Model<br> MALI is currently maintained on Github at https://github.com/MALI-Dev/E3SM<br> Building MALI requires the Albany multiphysics library, which is available<br> at https://github.com/sandialabs/Albany. The simulations presented use Albany<br> master from March 5, 2021.</p> <p>'analysis' contains the scripts used to process the model output and produce<br> the figures and results presented in the manuscript. Filepaths will have to<br> be adjusted to your local layout.</p> <p>'run_setup' is a directory of files and scripts necessary to reproduce the<br> model simulations presented. The GIA model giapy is in the file<br> 'giascript.py'. giapy can also be found on Github at https://github.com/skachuck/giapy</p> <p>'control' is the control run with the GIA model disabled. It corresponds to<br> the run labeled CTRL in the manuscript.</p> <p>'PIGL_control' is the control run using the high melt forcing. It corresponds<br> to the run labeled HM-CTRL in the manuscript.</p> <p>The five run directories included here (N1-N4, PIGL_N3) are the standard<br> ensemble described in the manuscript. (There is a separate archive for the<br> runs briefly mentioned that exclude the elastic response of the lithosphere.)<br> The individual runs have the following correspondence to the manuscript:<br> N1=TYP<br> N2=BEST2<br> N3=VLV-THIN<br> N4=VLV<br> PIGL_N3=HM-VLV-THIN<br> Within each run directory, are the following model output files:<br> globalStats.nc: MALI global, scalar time-series<br> iceload_all.nc: Thwaites Glacier ice load on the GIA grid<br> output_*.nc: MALI spatial output fields, separated by century<br> uplift_GIA_all.nc: GIA output on GIA grid</p>
Data for Glacial isostatic adjustment reveals Mars' interior viscosity structure
<p>Present-day Martian interior models used in Broquet et al. (2024). All models use the following naming convention: Profile_NorthPole_Mars-TAYAK-dc-rho_south[-rho_north], where dc is the crustal thickness at the InSight landing site in km, rho_north and rho_south are the bulk density of the northern and southern hemisphere crust in g cm^-3. If added, XGRS provides the crustal heat producing element enrichment factor (X) with respect to the nominal Gamma Ray measured average of 49 pW kg^-1. </p> <p>Files with _60deg provide quantities averaged over the northern regions (>60°N) and _AVG give averages for the whole planet. Models with case numbers are from Plesa et al. (2018) [https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL080728]. </p> <p>Data Columns:<br>------------------------------<br>Column 1: Radius [m]<br>Column 2: Temperature [K]<br>Column 3: Viscosity [Pa s]<br>Column 4: Shear Velocity [m/s]<br>Column 5: Density [kg/m3]<br>Column 6: Shear Modulus [Pa]</p>
Length of day residuals after the removal of tidal friction, glacial isostatic adjustment, and climatic effects: 720 BC to 2020
<p>LOD residuals after the removal of tidal friction, glacial isostatic adjustment, and climatic effects.<br>Time range 720 BC to 2020 AD.<br>Data are with respect to 2020.<br>First column: time in year (negative years mean BC)<br>Second column: LOD residuals in milliseconds<br>Third column: uncertainty of the LOD residuals in milliseconds</p> <p>If you use the data, please cite the following references:<br>1. The increasingly dominant role of climate change on length of day variations: Kiani Shahvandi et al. 2024 published in PNAS, https://doi.org/10.1073/pnas.2406930121<br>2. Length of day variations explained in a Bayesian framework: Kiani Shahvandi et al. 2024 published in GRL<br>3. Addendum 2020 to ‘Measurement of the Earth’s rotation: 720 BC to AD 2015’: Morrison et al. 2021 published in Proceedings of the Royal Society A, https://doi.org/10.1098/rspa.2020.0776</p>
Source data for "Glacial isostatic adjustment directed incision of the Channeled Scabland by ice-age megafloods"
<p>The data provided in this repository is the source data for "Glacial isostatic adjustment directed incision of the Channeled Scabland by ice-age megafloods". This repository contains three directories for ANUGA simulations on (1) present-day topography, (2) glacial isostatic adjustment-corrected topography at 18 ka, and (3) glacial isostatic adjustment-corrected topography at 15.5 ka. Each directory includes hydrodynamic modeling data and topographic reconstruction data. This repository also contains MATLAB scripts for analyzing simulated discharge and shear stress values for replicating plots.</p> <p>Cite as: Pico. T., David, S.R., Larsen, I.J, Mix, A., Lehnigk, K., Lamb, M.P., Glacial isostatic adjustment directed incision of the Channeled Scabland by ice-age megafloods, PNAS, 2022.</p> <p> </p> <p><br> </p>
Computational model results for "Uncertainties of Glacial Isostatic Adjustment model predictions in North America associated with 3D structure"
<p>The mean GIA signals of RSL, u-dot and g-dot with 1σ, 2σ and 3σ uncertainties in North America. </p>
Output and data used in publication "Glacial isostatic adjustment modulates lateral migration rate and morphology of the Red River (North Dakota, USA, and Manitoba Canada)" in GRL
<p>Here we provide the output sea level used to calculate change in slope along studied rivers as well as locations of meanders and cutoffs. Please see the read.me file and publication for details. </p>
Input and output used in publication "Glacial isostatic adjustment shapes proglacial lakes over glacial cycles"
<p>Here we provide the input ice history and topography used for the modeling along with the output sea level and proglacial lake volume & geometries. Please see the read.me file and publication for details. Note that version 1 had incorrect files saved for some of the output, including the default run LAM_PC. Please use version 2 when recreating our results. </p>
Input Data for A Fast Surrogate Model for 3D-Earth Glacial Isostatic Adjustment using Tensorflow (v2.8.0) Artificial Neural Networks
<p>Training datasets for the manuscript A Fast Surrogate Model for 3D-Earth Glacial Isostatic Adjustment using Tensorflow (v2.8.0) Artificial Neural Networks. Two separate datasets are contained for training the ANNs: the 3D-spherically-symmetric (SS) rate-of-change of relative sea level (ROCRSL) and the 3D-SS rate of change of radial displacement (ROCRAD) as a function of SS profiles. Two other datasets contain RSL projections from the explicit (i.e. Seakon 3D - Seakon SS + NMSS ) model and the NMSS model, labelled Seakon_plus_NMSS_RSL and NMSS respectively.</p> <p>Filenames denote the structure of the SS profile: </p> <p>???_?.??_??.*.csv = LT_UMV_LMV.*.{csv,nc}<br> </p> <p>LT = elastic lithosphere thickness (km)</p> <p>UMV = upper mantle viscosity (1E21 Pa s)</p> <p>LMV = lower mantle viscosity (1E21 Pa s)</p> <p>i.e. 96_0.5_10.seakon_S40RTS_lr18-SS.rrad.roc.r360x180.P5.density_wSSRRADROC.csv.bz2 has the SS profile</p> <p>96km elastic lithosphere, 0.5E21 Pa s upper mantle viscosity, 10E21 Pa s lower mantle viscosity</p> <p> </p> <p>The columns of the input files are as follows:</p> <p>LT, UMV, LMV, longitude, latitude, time(t=0), ice(t=0), SS_ROC_RSL (t=0), time(t=-1), ice(t=-1), time(t=-2), ice(t=-2), time(t=-3), ice(t=-3), time(t=-4), ice(t=-4), 3D-SS_ROC_RSL(t=0)</p> <p>units for the above are as follows:</p> <p>km, 1E21 Pas, 1E2 Pas, degrees east (0->360), degrees (-180->180), days since 2000, m, mm/year, days since 2000, m, days since 2000, m, days since 2000, m, days since 2000, m, mm/year</p> <p>where 'days since 2000' assumes exactly 365.25 days per year.</p>
500-yr Projections of Thwaites Glacier, Antarctica, with MALI, including glacial isostatic adjustment: no elastic displacement
<p>This archive contains a subset of results reproducing the material presented in the manuscript "Stabilizing effect of bedrock uplift on retreat of Thwaites Glacier, Antarctica, at centennial timescales" by Cameron Book, et al. This archive only includes results for the simulations with elastic displacement in the GIA model disabled. These results are briefly discussed in the first paragraph of section 'Factors controlling feedbacks between glacier retreat and bedrock uplift'. The main results from the manuscript are in a separate archive. Questions should be directed to Matt Hoffman (mhoffman@lanl.gov).</p> <p>This archive contains the following directories:</p> <p>|-- N1_no_elastic<br> |-- N2_no_elastic<br> |-- N3_no_elastic<br> `-- N4_no_elastic</p> <p>The individual runs have the following corresponence to the manuscript, but<br> with the elastic displacement disabled:<br> N1=TYP<br> N2=BEST2<br> N3=VLV-THIN<br> N4=VLV</p> <p>Within each run directory, are the following model output files:<br> globalStats.nc: MALI global, scalar time-series<br> output_*.nc: MALI spatial output fields, separated by century</p>
Surface Deformations from Glacial Isostatic Adjustment Models with Laterally Homogeneous, Compressible Earth Structure
<p>The zipped file contains global 1-degree grid files of four different surface deformation parameters:</p> <ul> <li>Horizontal velocity, North component (vnorth), in mm/a</li> <li>Horizontal velocity, East component (veast), in mm/a</li> <li>Vertical velocity (vup), in mm/a</li> <li>Geoid change (dgeoid), in mm/a</li> </ul> <p>calculated from a set of 26 different glacial isostatic adjustment models applying 10 different radially varying (=layered) earth structures and 3 different global ice models.</p> <p>The different earth structures and the available combinations with ice models can be found in the readme.pdf.</p> <p>File naming is simply {ice model}_{earth model}_{parameter}.grd. For example, anu-ice_f72_vup.grd is the global vertical velocity grid file calculated with a GIA model with ANU-ICE ice history and 60 km lithospheric thickness, 4E20 Pa s upper mantle viscosity and 2E21 Pa s lower mantle viscosity. Grid files (NetCDF format) were generated with GMT6 (Wessel et al., 2019), thus can be directly used.</p> <p>Ice thickness histories of ICE-6G_C (Argus et al., 20214; Peltier et al., 2015) and ICE-7G_NA (Roy & Peltier, 2017) were downloaded from W. R. Peltier’s data website at the University of Toronto, Canada: <a href="https://www.atmosp.physics.utoronto.ca/~peltier/data.php">https://www.atmosp.physics.utoronto.ca/~peltier/data.php</a></p> <p>Note that the velocity field of ICE-6G_C(VM5a) can be compared to the one available from W. R. Peltier’s data website. The files provided here are not a substitute for the ones by W. R. Peltier and colleagues! Analyzing the difference between the files from this work and the ones available on the data website can help getting an error estimate from the two GIA model implementations (see further below). The user will find minor differences in the uplift component but larger ones in far field areas of the horizontal components.</p> <p>ICE-7G_NA(VM7) results are added as complement for interested users. However, note that ICE-7G_NA contains ice thickness history modifications in North America only and a fully global re-optimization of the ice thickness is warranted. Hence, excessive use and interpretation of these grid files, especially on global scale, should be avoided.</p> <p>ANU-ICE is a global 1-degree ice thickness model merged from several regional models (Lambeck, 1995; Fleming & Lambeck, 2004; Lambeck et al., 2010; 2014; 2017) kindly provided by Anthony Lambert and Kurt Lambeck, ANU, Canberra, Australia. The regional models contain differing spatial and temporal resolutions that were unified to fit the global 1-degree spatial resolution at mainly common time steps (500–1000 years). The Antarctic Ice Sheet part contains changes in the last time steps, thus some larger changes in the velocities can be found there.</p> <p>The software ICEAGE (Kaufmann, 2004) is used for calculating the grids, which applies the viscoelastic normal-mode method (Peltier, 1974; Wu, 1978). The sea-level equation is solved in a pseudo-spectral approach (Mitrovica et al., 1994; Mitrovica & Milne, 1998) in an iterative procedure in the spectral domain. See further details in Kaufmann and Lambeck (2000; 2002). The spherical harmonic expansion in the spectral domain is truncated at degree 192, which corresponds to ~1° spatial resolution. The models are spherically symmetric (1D), compressible, with Maxwell-viscoelasticity, rotational feedback, and time-dependent coastlines. The Earth’s core is, as assumed to be inviscid, incorporated as lower boundary condition. Rheological parameters such as depth-dependent density, Young’s modulus, etc., are taken from PREM (Preliminary Reference Earth Model; Dziewonski & Anderson, 1981).</p> <p><strong>Acknowledgments</strong></p> <p>HS would like to thank Jeff Freymueller for discussions on model selection.</p> <p><strong>References</strong></p> <p>Argus, D. F., Peltier, W., Drummond, R., Moore, A.W. 2014. The Antarctica component of postglacial rebound model ICE-6G_C (VM5a) based on GPS positioning, exposure age dating of ice thicknesses, and relative sea level histories. Geophysical Journal International 198, 537–563, doi:10.1093/gji/ggu140.</p> <p>Dziewonski, A. M., Anderson, D. L. 1981. Preliminary reference Earth model. Physics of the Earth and Planetary Interiors 25, 297–356, doi:10.1016/0031-9201(81)90046-7.</p> <p>Fleming, K., Lambeck, K. 2004. Constraints on the Greenland ice sheet since the Last Glacial Maximum from sea-level observations and glacial-rebound models. Quaternary Science Reviews 23, 1053–1077, doi:10.1016/j.quascirev.2003.11.001.</p> <p>Kaufmann, G. 2004. Program Package ICEAGE, Version 2004. Manuscript. Institut für Geophysik der Universität Göttingen.</p> <p>Kaufmann, G., Lambeck, K., 2000. Mantle dynamics, postglacial rebound and the radial viscosity profile. Physics of the Earth and Planetary Interiors 121, 301–324, doi:10.1016/S0031-9201(00)00174-6.</p> <p>Kaufmann, G., Lambeck, K., 2002. Glacial isostatic adjustment and the radial viscosity profile from inverse modeling. Journal of Geophysical Research Solid Earth 107, ETG 5-1-ETG 5-15, doi:10.1029/2001JB000941.</p> <p>Lambeck, K. 1995. Late Devensian and Holocene shorelines of the British Isles and North Sea from models of glacio-hydro-isostatic rebound. Journal of the Geological Society London 152, 437–448, doi:10.1144/gsjgs.152.3.0437.</p> <p>Lambeck, K., Purcell, A., Zhao, J., Svensson, N.-O. 2010. The Scandinavian ice sheet: from MIS 4 to the end of the last glacial maximum. Boreas 39 (2), 410–435, doi:10.1111/j.1502-3885.2010.00140.x.</p> <p>Lambeck, K., Rouby, H., Purcell, A., Sun, Y., Sambridge, M. 2014. Sea level and global ice volumes from the Last Glacial Maximum to the Holocene. Proceedings of the National Academy of Sciences of the United States of America 111 (43), 15296–15303, doi:10.1073/pnas.1411762111.</p> <p>Lambeck, K., Purcell, A., Zhao, J. 2017. The North American Late Wisconsin ice sheet and mantle viscosity from glacial rebound analyses. Quaternary Science Reviews 158, 172–210, doi:10.1016/j.quascirev.2016.11.033.</p> <p>Mitrovica, J. X., Davis, J. L., Shapiro, I. I. 1994. A spectral formalism for computing three–dimensional deformations due to surface loads: 1. Theory. Journal of Geophysical Research Solid Earth 99(B4), 7057–7073, doi:10.1029/93JB03128.</p> <p>Mitrovica, J. X., Milne, G. A. 1998. Glaciation-induced perturbations in the Earth’s rotation: a new appraisal. Journal of Geophysical Research Solid Earth 103, 985–1005, doi:10.1029/97JB02121.</p> <p>Peltier, W. R. 1974. The impulse response of a Maxwell Earth. Reviews of Geophysics and Space Physics 12(4), 649–669, doi:10.1029/RG012i004p00649.</p> <p>Peltier, W., Argus, D., Drummond, R. 2015. Space geodesy constrains ice age terminal deglaciation: The global ICE-6G_C (VM5a) model. Journal of Geophysical Research Solid Earth 120, 450–487, doi:10.1002/2014JB011176.</p> <p>Roy, K., Peltier, W. R. 2017. Space-geodetic and water level gauge constraints on continental uplift and tilting over North America: regional convergence of the ICE-6G_C (VM5a/VM6) models. Geophysical Journal International 210(2), 1115-1142, doi:10.1093/gji/ggx156.</p> <p>Wessel, P., Luis, J. F., Uieda, L., Scharroo, R., Wobbe, F., Smith, W. H. F., Tian, D. 2019. The Generic Mapping Tools version 6. Geochemistry, Geophysics, Geosystems 20, 5556–5564, doi:10.1029/2019GC008515.</p> <p>Wu P. 1978. The response of a Maxwell earth to applied surface mass loads: glacial isostatic adjustment. MSc thesis, University of Toronto, Toronto, Ontario, Canada.</p>
TELLUS GRACE Level-3 1.0-degree Glacial Isostatic Adjustment v1.0 datasets produced by JPL
Glacial isostatic adjustment (GIA) is an ongoing geophysical process and is measured by gravimetry satellites like GRACE and GRACE-FO. To isolate signals of contemporary surface mass loss in the cumulative satellite gravimetry measurements, contemporary GIA rates are computed and subtracted from the satellite gravimetry observations. The GIA correction models provided here are filtered such that they are compatible with Level-3 post-processing filters applied to GRACE(-FO) data as indicated in the [product_id]. In this way, user can effectively assess the impact of the applied GIA correction, and substitute different GIA models should that be desired. This GIA dataset is mapped into 1.0-degree global grid in netCDF format.
TELLUS GRACE Level-3 0.5-degree Glacial Isostatic Adjustment v1.0 datasets produced by JPL
Glacial isostatic adjustment (GIA) is an ongoing geophysical process and is measured by gravimetry satellites like GRACE and GRACE-FO. To isolate signals of contemporary surface mass loss in the cumulative satellite gravimetry measurements, contemporary GIA rates are computed and subtracted from the satellite gravimetry observations. The GIA correction models provided here are filtered such that they are compatible with Level-3 post-processing filters applied to GRACE(-FO) data as indicated in the [product_id]. In this way, user can effectively assess the impact of the applied GIA correction, and substitute different GIA models should that be desired. This GIA dataset is mapped into 0.5-degree global grid compatible with the JPL Mascon solution, provided in netCDF format.
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>
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