Joint inversion estimate of regional glacial isostatic adjustment in Antarctica considering a lateral varying Earth structure (ESA STSE Project REGINA)

Sasgen, Ingo; Martín-Español, Alba; Horvath, Alexander; Klemann, Volker; Petrie, E. J.; Wouters, Bert; Horwath, Martin; Pail, Roland; Bamber, Jonathan; Clarke, Peter J.; Konrad, Hannes; Drinkwater, Mark R.

doi:10.1093/gji/ggx368

Cited by 34 publications

(65 citation statements)

References 59 publications

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“…X and Y are given in kilometers and density in kg m −3 . We provide the data set at this point for completeness; more details on the generation of this density map are given in Sasgen et al (2017a).…”

Section: Snow/ice Density Mapmentioning

confidence: 99%

“…For further details and full information on individual rates and time series, see Petrie et al (2018a) for a full description of the processing and ensemble evaluation and Petrie et al (2018b) for details of time series analysis and rate and uncertainty estimation. Further work was undertaken to combine or "cluster" the rates regionally for inclusion in the estimation process -see Section 3.2 of the second REGINA paper (Sasgen et al 2017a) for more details..…”

Section: Gps Uplift Rate Estimation and Clusteringmentioning

confidence: 99%

“…3.2.1. Further details and the application to the GPS data set can be found in the second REGINA paper (Sasgen et al, 2017a). Note that the script relies on the open-source program suite Generic Mapping Tools (http://gmt.soest.hawaii.edu/; Wessel et al, 2013).…”

Section: Clustering Scriptmentioning

confidence: 99%

“…4.4), we select the GRACE release and cutoff degree providing the lowest uncertainty level (Sect. 4.5) as a reference input for our joint inversion for present-day icemass change detailed in the second REGINA paper (Sasgen et al, 2017a).…”

Section: Gravimetry Data Analysismentioning

confidence: 99%

“…The actual method of the joint inversion is described in a second contribution of the Regional glacial isostatic adjustment and CryoSat elevation rate corrections in Antarctica (REGINA) project team (Sasgen et al, 2017a). In this second paper, the resulting GIA estimate is also compared to previous studies.…”

Section: Introductionmentioning

confidence: 99%

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Altimetry, gravimetry, GPS and viscoelastic modeling data for the joint inversion for glacial isostatic adjustment in Antarctica (ESA STSE Project REGINA)

Sasgen

Martín-Español

Horvath

et al. 2018

Earth Syst. Sci. Data

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Abstract. The poorly known correction for the ongoing deformation of the solid Earth caused by glacial isostatic adjustment (GIA) is a major uncertainty in determining the mass balance of the Antarctic ice sheet from measurements of satellite gravimetry and to a lesser extent satellite altimetry. In the past decade, much progress has been made in consistently modeling ice sheet and solid Earth interactions; however, forward-modeling solutions of GIA in Antarctica remain uncertain due to the sparsity of constraints on the ice sheet evolution, as well as the Earth's rheological properties. An alternative approach towards estimating GIA is the joint inversion of multiple satellite data -namely, satellite gravimetry, satellite altimetry and GPS, which reflect, with different sensitivities, trends in recent glacial changes and GIA. Crucial to the success of this approach is the accuracy of the spacegeodetic data sets. Here, we present reprocessed rates of surface-ice elevation change (Envisat/Ice,

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Section: Snow/ice Density Mapmentioning

confidence: 99%

Section: Gps Uplift Rate Estimation and Clusteringmentioning

confidence: 99%

Section: Clustering Scriptmentioning

confidence: 99%

Section: Gravimetry Data Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Altimetry, gravimetry, GPS and viscoelastic modeling data for the joint inversion for glacial isostatic adjustment in Antarctica (ESA STSE Project REGINA)

Sasgen

Martín-Español

Horvath

et al. 2018

Earth Syst. Sci. Data

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GIA Model Statistics for GRACE Hydrology, Cryosphere, and Ocean Science

Caron

Ivins

Larour

et al. 2018

Geophysical Research Letters

170

366

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We provide a new analysis of glacial isostatic adjustment (GIA) with the goal of assembling the model uncertainty statistics required for rigorously extracting trends in surface mass from the Gravity Recovery and Climate Experiment (GRACE) mission. Such statistics are essential for deciphering sea level, ocean mass, and hydrological changes because the latter signals can be relatively small (≤2 mm/yr water height equivalent) over very large regions, such as major ocean basins and watersheds. With abundant new >7 year continuous measurements of vertical land motion (VLM) reported by Global Positioning System stations on bedrock and new relative sea level records, our new statistical evaluation of GIA uncertainties incorporates Bayesian methodologies. A unique aspect of the method is that both the ice history and 1‐D Earth structure vary through a total of 128,000 forward models. We find that best fit models poorly capture the statistical inferences needed to correctly invert for lower mantle viscosity and that GIA uncertainty exceeds the uncertainty ascribed to trends from 14 years of GRACE data in polar regions.

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Feasibility of a global inversion for spatially resolved glacial isostatic adjustment and ice sheet mass changes proven in simulation experiments

Willen

Horwath

Groh

et al. 2022

J Geod

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Estimating mass changes of ice sheets or of the global ocean from satellite gravimetry strongly depends on the correction for the glacial isostatic adjustment (GIA) signal. However, geophysical GIA models are different and incompatible with observations, particularly in Antarctica. Regional inversions have resolved GIA over Antarctica without ensuring global consistency, while global inversions have been mostly constrained by a priori GIA patterns. For the first time, we set up a global inversion to simultaneously estimate ice sheet mass changes and GIA, where Antarctic GIA is spatially resolved using a set of global GIA patterns. The patterns are related to deglaciation impulses localized along a grid over Antarctica. GIA associated with four regions outside Antarctica is parametrized by global GIA patterns induced by deglaciation histories. The observations we consider here are satellite gravimetry, satellite altimetry over Antarctica and Greenland, as well as modelled firn thickness changes. Firn thickness changes are also parametrized to account for systematic errors in their modelling. Results from simulation experiments using realistic signals and error covariances support the feasibility of the approach. For example, the spatial RMS error of the estimated Antarctic GIA effect, assuming a 10-year observation period, is 31% and 51%, of the RMS of two alternative global GIA models. The integrated Antarctic GIA error is 8% and 5%, respectively, of the integrated GIA signal of the two models. For these results realistic error covariances incorporated in the parameter estimation process are essential. If error correlations are neglected, the Antarctic GIA RMS error is more than twice as large.Highlights$$\bullet $$ ∙ We present a globally consistent inversion approach to co-estimate glacial isostatic adjustment effects together with changes of the ice mass and firn air content in Greenland and Antarctica. $$\bullet $$ ∙ The inversion method utilizes data sets from satellite gravimetry, satellite altimetry, regional climate modelling, and firn modelling together with the full error-covariance information of all input data. $$\bullet $$ ∙ The simulation experiments show that the proposed GIA parametrization in Antarctica can resolve GIA effects unpredicted by geophysical modelling, despite realistic input-data limitations.

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Joint inversion estimate of regional glacial isostatic adjustment in Antarctica considering a lateral varying Earth structure (ESA STSE Project REGINA)

Cited by 34 publications

References 59 publications

Altimetry, gravimetry, GPS and viscoelastic modeling data for the joint inversion for glacial isostatic adjustment in Antarctica (ESA STSE Project REGINA)

Altimetry, gravimetry, GPS and viscoelastic modeling data for the joint inversion for glacial isostatic adjustment in Antarctica (ESA STSE Project REGINA)

GIA Model Statistics for GRACE Hydrology, Cryosphere, and Ocean Science

Feasibility of a global inversion for spatially resolved glacial isostatic adjustment and ice sheet mass changes proven in simulation experiments

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