2020
DOI: 10.5194/egusphere-egu2020-6309
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ISMIP6 Antarctica: a multi-model ensemble of the Antarctic ice sheet evolution over the 21st century

Abstract: Ice flow models of the Antarctic ice sheet are commonly used to simulate its future evolution in response to different climate scenarios and inform on the mass loss that would contribute to future sea level rise. However, there is currently no consensus on estimated the future mass balance of the ice sheet, primarily because of differences in the representation of physical processes and the forcings employed. This study presents results from 18 simulations from 15 international groups focusing on the evolution… Show more

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Cited by 68 publications
(127 citation statements)
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“…Whereas our methodology is developed with a generalizable emulation and calibration framework, quantitative results in section 3 apply only to this specific ice‐sheet model. The LIG could inform additional or alternative physical processes (see section 4) not considered here, and the emulation and calibration framework could be extended to include assessments of LIG constraints on the Greenland ice sheet (GrIS), calibration of other ice‐sheet models or ensembles (e.g., ISMIP6; Goelzer et al, 2018; Nowicki et al, 2016; Seroussi et al, 2020), calibration of different parameters or regions of parameter space, or calibration with different paleo sea‐level constraints (e.g., the Pliocene).…”
Section: Models and Methodsmentioning
confidence: 99%
“…Whereas our methodology is developed with a generalizable emulation and calibration framework, quantitative results in section 3 apply only to this specific ice‐sheet model. The LIG could inform additional or alternative physical processes (see section 4) not considered here, and the emulation and calibration framework could be extended to include assessments of LIG constraints on the Greenland ice sheet (GrIS), calibration of other ice‐sheet models or ensembles (e.g., ISMIP6; Goelzer et al, 2018; Nowicki et al, 2016; Seroussi et al, 2020), calibration of different parameters or regions of parameter space, or calibration with different paleo sea‐level constraints (e.g., the Pliocene).…”
Section: Models and Methodsmentioning
confidence: 99%
“…CESM2 and CNRM-CM6-1 (ssp585) to the ISMIP6-derived SMB used to predict the future Antarctic sea-level contribution (Seroussi et al, 2020) by interpolating the 32 km SMB fields built by ISMIP6 on the 35 km MAR grid.…”
Section: Comparison With the Ismip6-derived Smbmentioning
confidence: 99%
“…As the integrated differences cumulated over 1995-2100 can be larger or as large as the differences between CMIP5-RCP8.5 and CMIP6-ssp585, or between CMIP6-ssp126 and CMIP6-ssp245 ( Fig. 11), this also raises the question of the sensitivity to the forcing of ISMIP6 projections, where the SMB is used as an input for performing projections of the total AIS mass balance (Seroussi et al, 2020).…”
Section: Comparison With the Ismip6-derived Smbmentioning
confidence: 99%
“…Although observations ( 2 , 6 ) and models ( 7 9 ) reveal that melt-induced ice-shelf thinning increases ice discharge, challenges remain in fully coupling ice and ocean models to resolve the spatiotemporal evolution of melt ( 10 , 11 ). Consequently, several studies have relied on depth-parameterized melt rates to drive ice-flow models ( 7 , 8 , 10 , 12 , 13 ), which, although often tuned to the initial state, may not hold as ice-shelf cavities evolve ( 14 , 15 ).…”
Section: Introductionmentioning
confidence: 99%
“…While several studies suggest that melt’s spatial distribution helps govern ice-sheet loss ( 13 , 16 19 ), it is not immediately clear that this should be so. Ice-shelf mass balance is determined by grounding-line flux and surface mass balance (SMB) (net snowfall after surface ablation) gains, which are countered by losses from subshelf melting and iceberg calving.…”
Section: Introductionmentioning
confidence: 99%