Ocean-induced melt volume directly paces ice loss from Pine Island Glacier

Joughin, Ian; Shapero, Daniel; Dutrieux, Pierre; Smith, Ben

doi:10.1126/sciadv.abi5738

Cited by 16 publications

(19 citation statements)

References 45 publications

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“…While Joughin et al (2021) suggest that the integrated melt is the main driver for grounding line retreat, other studies Table 9. Root-mean-squared error (RMSE int ) between the reference (NEMO) and parameterised (PICOP parameterisation) yearly integrated ice-shelf melt [Gt yr −1 ] over the 35 individual ice shelves and 127 simulation years using the original parameters (Reese et al, 2018a;Lazeroms et al, 2019).…”

Section: Evaluation Of the Spatial Melt Patternsmentioning

confidence: 99%

An assessment of basal melt parameterisations for Antarctic ice shelves

et al. 2022

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Abstract. Ocean-induced ice-shelf melt is one of the largest uncertainty factors in the Antarctic contribution to future sea-level rise. Several parameterisations exist, linking oceanic properties in front of the ice shelf to melt at the base of the ice shelf, to force ice-sheet models. Here, we assess the potential of a range of these existing basal melt parameterisations to emulate basal melt rates simulated by a cavity-resolving ocean model on the circum-Antarctic scale. To do so, we perform two cross-validations, over time and over ice shelves respectively, and re-tune the parameterisations in a perfect-model approach, to compare the melt rates produced by the newly tuned parameterisations to the melt rates simulated by the ocean model. We find that the quadratic dependence of melt to thermal forcing without dependency on the individual ice-shelf slope and the plume parameterisation yield the best compromise, in terms of integrated shelf melt and spatial patterns. The box parameterisation, which separates the sub-shelf circulation into boxes, the PICOP parameterisation, which combines the box and plume parameterisation, and quadratic parameterisations with dependency on the ice slope yield basal melt rates further from the model reference. The linear parameterisation cannot be recommended as the resulting integrated ice-shelf melt is comparably furthest from the reference. When using offshore hydrographic input fields in comparison to properties on the continental shelf, all parameterisations perform worse; however, the box and the slope-dependent quadratic parameterisations yield the comparably best results. In addition to the new tuning, we provide uncertainty estimates for the tuned parameters.

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Section: Evaluation Of the Spatial Melt Patternsmentioning

confidence: 99%

An assessment of basal melt parameterisations for Antarctic ice shelves

et al. 2022

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“…PIG, part of the larger WAIS, contributes more to present‐day global sea level rise than any other glacier (Shepherd et al., 2018). Current ice mass loss at PIG is thought to be due to the retreat of the floating ice shelf (Joughin, Shapero, Smith, et al., 2021) being caused by interactions between ocean forcing (Christianson et al., 2016; Joughin, Shapero, Dutrieux, & Smith, 2021) and fracturing processes (MacGregor et al., 2012).…”

Section: Introductionmentioning

confidence: 99%

Tracking the Cracking: A Holistic Analysis of Rapid Ice Shelf Fracture Using Seismology, Geodesy, and Satellite Imagery on the Pine Island Glacier Ice Shelf, West Antarctica

Olinger

Lipovsky

Denolle

et al. 2022

Geophysical Research Letters

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Ice shelf fracture exerts a fundamental control on the stability of marine ice sheets and associated sea level fluctuations (Seroussi et al., 2020). In particular, understanding the past, present, and future stability of the West Antarctic Ice Sheet (WAIS) remains one of the great challenges of modern glaciological research and is itself closely related to ice shelf fracturing processes (Scambos et al., 2017). Fractures on ice shelves take on many forms, including through-cutting rifts (

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“…The one exception is 2014, where the stations nearest the Thwaites Glacier Tongue (TGT) exhibit significantly higher meteoric water content than the rest of the study area. While this is consistent with known circulation in the area (Jenkins et al, 2010;Thurnherr et al, 2014;Naveira Garabato et al, 2017;Joughin et al, 2021b), we do not have comparable samples from other years, so those stations were excluded for the purposes of interannual comparisons.…”

Section: Yearmentioning

confidence: 61%

Glacial Meltwater in the Southeast Amundsen Sea: A timeseries from 1994–2020

Hennig

Mucciarone

Jacobs

et al. 2023

Preprint

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Abstract. Ice sheet mass loss from Antarctica is greatest in the Amundsen Sea sector, where ‘warm’ deep seawater melts and thins the bases of ice shelves hundreds of meters below the sea surface. We use nearly 1000 paired salinity and oxygen isotope analyses of seawater samples collected on seven expeditions from 1994 to 2020 to produce a time series of glacial meltwater inventory on the Southeast Amundsen Sea continental shelf. Water column salinity-ẟ18O yield freshwater endmember ẟ18O values from −30.2 ‰ to −28.4 ‰, demonstrating that regional freshwater content is dominated by deep glacial melt. The meltwater fractions display temporal variability in basal melting, with 800 m water column meltwater inventories from 7.7 m to 9.2 m. This result corroborates recent studies suggesting interannual variability in basal melt rates of West Antarctic ice shelves and is consistent with the Amundsen region’s influence on ocean salinity and density downstream in the Ross Sea.

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Ocean-induced melt volume directly paces ice loss from Pine Island Glacier

Abstract: Glacier response to ice-shelf thinning is driven largely by the total melt rather than its spatial distribution.

Cited by 16 publications

References 45 publications

An assessment of basal melt parameterisations for Antarctic ice shelves

An assessment of basal melt parameterisations for Antarctic ice shelves

Tracking the Cracking: A Holistic Analysis of Rapid Ice Shelf Fracture Using Seismology, Geodesy, and Satellite Imagery on the Pine Island Glacier Ice Shelf, West Antarctica

Glacial Meltwater in the Southeast Amundsen Sea: A timeseries from 1994–2020

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