Antarctic contribution to sea level rise observed by GRACE with improved GIA correction

Ivins, E. R.; James, Thomas S.; Wahr, John; Schrama, Ernst; Landerer, F. W.; Simon, Karen M.

doi:10.1002/jgrb.50208

Cited by 223 publications

(252 citation statements)

References 95 publications

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“…6a). This spatial structure is likely to have resulted from the use of GPS uplift rates, which were also used in the calibration of the most recent forward models Ivins et al, 2013). The W12a model yields slightly higher estimates for most basins but shows good agreement on the southern Antarctic Peninsula.…”

Section: Discussionmentioning

confidence: 99%

Simultaneous solution for mass trends on the West Antarctic Ice Sheet

et al. 2015

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Abstract. The Antarctic Ice Sheet is the largest potential source of future sea-level rise. Mass loss has been increasing over the last 2 decades for the West Antarctic Ice Sheet (WAIS) but with significant discrepancies between estimates, especially for the Antarctic Peninsula. Most of these estimates utilise geophysical models to explicitly correct the observations for (unobserved) processes. Systematic errors in these models introduce biases in the results which are difficult to quantify. In this study, we provide a statistically rigorous error-bounded trend estimate of ice mass loss over the WAIS from 2003 to 2009 which is almost entirely data driven. Using altimetry, gravimetry, and GPS data in a hierarchical Bayesian framework, we derive spatial fields for ice mass change, surface mass balance, and glacial isostatic adjustment (GIA) without relying explicitly on forward models. The approach we use separates mass and height change contributions from different processes, reproducing spatial features found in, for example, regional climate and GIA forward models, and provides an independent estimate which can be used to validate and test the models. In addition, spatial error estimates are derived for each field. The mass loss estimates we obtain are smaller than some recent results, with a time-averaged mean rate of −76 ± 15 Gt yr −1 for the WAIS and Antarctic Peninsula, including the major Antarctic islands. The GIA estimate compares well with results obtained from recent forward models (IJ05-R2) and inverse methods (AGE-1). The Bayesian framework is sufficiently flexible that it can, eventually, be used for the whole of Antarctica, be adapted for other ice sheets and utilise data from other sources such as ice cores, accumulation radar data, and other measurements that contain information about any of the processes that are solved for.

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Section: Discussionmentioning

confidence: 99%

Simultaneous solution for mass trends on the West Antarctic Ice Sheet

et al. 2015

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“…In addition to constraining global ice volumes, comparison of GIA model output with a range of data sets has been used to reconstruct the past configuration of individual ice sheets, including the Fennoscandian al., 2010), British-Irish Bradley et al, 2011), Laurentide (Tarasov et al, 2012;Simon et al, 495 2016;Lambeck et al, 2017), Greenland (Tarasov and Peltier, 2002;Simpson et al, 2009;Lecavalier et al, 2014), and Antarctic (Whitehouse et al, 2012a;Whitehouse et al, 2012b;Gomez et al, 2013;Ivins et al, 2013;Argus et al, 2014;Briggs et al, 2014) ice sheets. Global reconstructions also exist (Peltier, 2004;Peltier et al, 2015), but the important question of whether the total volume of the individual ice sheets is sufficient to account for the magnitude of the LGM lowstand remains unresolved (Clark and Tarasov, 2014).…”

Section: Ice Sheet Changementioning

confidence: 99%

“…Finally, improved quantification of the geodetic signal associated with past ice-sheet change has led to recent improvements in the accuracy of contemporary estimates of ice mass balance, as derived from GRACE or altimetry data (King et al, 2012;Ivins et al, 2013). However, uncertainty associated with the 'GIA correction' that must be applied to such data sets still poses a significant barrier to reaching a fully-reconciled estimate of contemporary ice mass balance (Shepherd et al, 505 2012).…”

Section: Ice Sheet Changementioning

confidence: 99%

“…The primary motivation for the recent focus on developing GIA models for Greenland and Antarctica has been to permit accurate interpretation of GRACE data, partitioning the mass change time series into contributions from GIA and 650 contemporary ice mass change (King et al, 2012;Ivins et al, 2013). However, GRACE data can also be used to determine an estimate of the GIA signal by combining it with altimetry data.…”

Section: Inverse Solutionsmentioning

confidence: 99%

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Glacial Isostatic Adjustment modelling: historical perspectives, recent advances, and future directions

Whitehouse¹

2018

Preprint

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Abstract. Glacial Isostatic Adjustment (GIA) describes the response of the solid Earth, the gravitational field, and 5 consequently the oceans to the growth and decay of the global ice sheets. It is a process that takes place relatively rapidly, triggering 100 m-scale changes in sea level and solid Earth deformation over just a few tens of thousands of years. Indeed, the first-order effects of GIA could already be quantified several hundred years ago without reliance on precise measurement techniques and scientists have been developing a unifying theory for the observations for over 200 years. Progress towards this goal required a number of significant breakthroughs to be made, including the recognition that ice sheets were once 10 more extensive, the solid Earth changes shape over time, and gravity plays a central role in determining the pattern of sealevel change. This article describes in detail the historical development of the field of GIA and an overview of the processes involved. Significant recent progress has been made as concepts associated with GIA have begun to be incorporated into parallel fields of research; these advances are discussed, along with the role that GIA is likely to play in addressing outstanding research questions within the field of Earth system modelling. 15

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“…For each monthly solution, we first corrected the coefficients by replacing degree 1 [53], and zonal degree two [54] by using CSR's spherical harmonics in January 2006. We also corrected the glacial isostatic adjustment (GIA) IJ05_R2 model [55]. The spherical harmonic coefficients obtained from data agencies were converted into a 180ˆ180 EWH grid and picked one cell (2˝by 2˝) near 33.5˝N and 90˝E.…”

Section: Grace Gravimetry Mission Datamentioning

confidence: 99%

Quantifying Freshwater Mass Balance in the Central Tibetan Plateau by Integrating Satellite Remote Sensing, Altimetry, and Gravimetry

et al. 2016

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Abstract:The Tibetan Plateau (TP) has been observed by satellite optical remote sensing, altimetry, and gravimetry for a variety of geophysical parameters, including water storage change. However, each of these sensors has its respective limitation in the parameters observed, accuracy and spatial-temporal resolution. Here, we utilized an integrated approach to combine remote sensing imagery, digital elevation model, and satellite radar and laser altimetry data, to quantify freshwater storage change in a twin lake system named Chibuzhang Co and Dorsoidong Co in the central TP, and compared that with independent observations including mass changes from the Gravity Recovery and Climate Experiment (GRACE) data. Our results show that this twin lake, located within the Tanggula glacier system, remained almost steady during 1973-2000. However, Dorsoidong Co has experienced a significant lake level rise since 2000, especially during [2000][2001][2002][2003][2004][2005], that resulted in the plausible connection between the two lakes. The contemporary increasing lake level signal at a rate of 0.89˘0.05 cm¨yr´1, in a 2˝by 2˝grid equivalent water height since 2002, is higher than the GRACE observed trend at 0.41˘0.17 cm¨yr´1 during the same time span. Finally, a down-turning trend or inter-annual variability shown in the GRACE signal is observed after 2012, while the lake level is still rising at a consistent rate.

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Antarctic contribution to sea level rise observed by GRACE with improved GIA correction

Cited by 223 publications

References 95 publications

Simultaneous solution for mass trends on the West Antarctic Ice Sheet

Simultaneous solution for mass trends on the West Antarctic Ice Sheet

Glacial Isostatic Adjustment modelling: historical perspectives, recent advances, and future directions

Quantifying Freshwater Mass Balance in the Central Tibetan Plateau by Integrating Satellite Remote Sensing, Altimetry, and Gravimetry

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