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

By D. Argus, W. Richard Peltier, R. Drummond, Angelyn W. Moore. 2014

501 citations recorded by the source corpus.

Subfields: Atmospheric Science, Oceanography

View Paper: https://www.semanticscholar.org/paper/fdae4ea1697b06813defa8c27edfd0b68612703f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. P. Whitehouse
2. R. Drummond
3. Ernst J. O. Schrama
4. W. Wal
5. D. Argus
6. W. Richard Peltier
7. D. Roche
8. Gerrit Lohmann

In Oceanography

1. P. Whitehouse
2. R. Drummond
3. D. Argus
4. Ernst J. O. Schrama
5. W. Richard Peltier
6. W. Wal
7. D. Roche
8. Paul Valdes

Citations in the corpus

• Dansgaard‐Oeschger oscillations predicted in a comprehensive model of glacial climate: A “kicked” salt oscillator in the Atlantic (2014, unknown): “Our CESM1 simulations of glacial climate employ the recently constructed ICE-6G (VM5a) model of glacial boundary conditions [Argus et al., 2014; Peltier et al., 2014], a model which is an existing option for use in the context of the Paleoclimate Modeling Intercomparison Project 3…”
• Space geodesy constrains ice age terminal deglaciation: The global ICE‐6G_C (VM5a) model (2015, methodology): “The delimiter “_C” in the name of the new model is employed to denote the fact that the Antarctic component of the model [Argus et al., 2014] has been fully iterated in order to obtain a best fit to the available GPS observations from Antarctica.”
• Glacial isostatic adjustment modelling: historical perspectives, recent advances, and future directions (2018, methodology): “…of the lithosphere are often inferred by comparing GIA model output with observations that reflect past and present rates of solid Earth deformation, such as GPS time series or records of past relative 430 sea-level change (e.g. Lambeck et al., 1998;Whitehouse et al., 2012b;Argus et al., 2014).”
• Effect of GIA models with 3D composite mantle viscosity on GRACE mass balance estimates for Antarctica (2015, methodology): “The colored dots depict the elastic-corrected GPS uplift rates from Argus et al. (2014).”
• The PMIP4 Last Glacial Maximum experiments: preliminary results and comparison with the PMIP3 simulations (2021, methodology): “1aD GCMs are the only models in the ensemble to have run simulations using different ice-sheet reconstructions (both models ran with ICE-6G_C and GLAC1D, and HadCM3B-M2.”