2016
DOI: 10.1007/s10712-016-9379-x
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Glacial Isostatic Adjustment and Contemporary Sea Level Rise: An Overview

Abstract: Glacial isostatic adjustment (GIA) encompasses a suite of geophysical phenomena accompanying the waxing and waning of continental-scale ice sheets. These involve the solid Earth, the oceans and the cryosphere both on short (decade to century) and on long (millennia) timescales. In the framework of contemporary sea-level change, the role of GIA is particular. In fact, among the processes significantly contributing to contemporary sea-level change, GIA is the only one for which deformational, gravitational and r… Show more

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Cited by 78 publications
(63 citation statements)
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“…The fundamental relationship of changes in land ice and water, solid Earth, and sea-surface height is essential to the study of past and present relative sea level (e.g., Peltier, 1982;Clark et al, 2002;Tamisiea, 2011). Our recent gain in confidence for monitoring the geographic locations and amplitudes of both seasonal and supra-seasonal changes in global glacier and ice sheet mass, dating to the beginning of the radar interferometry and altimetry era of the early 1990s (e.g., Rignot et al, 2011;Shepherd et al, 2018), strengthens our ability to effectively harness this information to construct informative models about global sea-level variability associated with a self-attraction and loading phenomenon (Spada and Galassi, 2016;Larour et al, 2017;Mitrovica et al, 2018). The mathematical formalism relating changes in gravitational, rotational, and solid Earth deformation responses to land ice and hydrological mass change has now niched itself into contemporary studies of sea-level change: the prediction of "sealevel fingerprints".…”
Section: Introductionmentioning
confidence: 85%
“…The fundamental relationship of changes in land ice and water, solid Earth, and sea-surface height is essential to the study of past and present relative sea level (e.g., Peltier, 1982;Clark et al, 2002;Tamisiea, 2011). Our recent gain in confidence for monitoring the geographic locations and amplitudes of both seasonal and supra-seasonal changes in global glacier and ice sheet mass, dating to the beginning of the radar interferometry and altimetry era of the early 1990s (e.g., Rignot et al, 2011;Shepherd et al, 2018), strengthens our ability to effectively harness this information to construct informative models about global sea-level variability associated with a self-attraction and loading phenomenon (Spada and Galassi, 2016;Larour et al, 2017;Mitrovica et al, 2018). The mathematical formalism relating changes in gravitational, rotational, and solid Earth deformation responses to land ice and hydrological mass change has now niched itself into contemporary studies of sea-level change: the prediction of "sealevel fingerprints".…”
Section: Introductionmentioning
confidence: 85%
“…The starting point for developing CCS is the demand by user communities for services related to climate, sea level and coastal science. Neither observations and databases available today [137,[165][166][167][168][169] nor the existing models and climate services (e.g., CMIP-5 [170], CORDEX [171], solid Earth deformation models [172][173][174][175]) directly respond to this demand. Hence, as in other areas of climate services, there is a need to strengthen the linkages between users and climate, sea level and coastal information providers [105].…”
Section: A Framework For Coastal Climate Servicesmentioning
confidence: 99%
“…At a regional scale this includes, for instance, changes in the ocean circulation (e.g., due to wind stress) or local ocean water density variations (both temperature and salinity driven). Other causes are changes in Earth's gravitational field and vertical land motion due to redistribution of mass between land and the ocean-both present-day ice mass change and glacial isostatic adjustment in response to ice mass loss after the Last Glacial Maximum (Spada 2017). See Part II of this paper by Meyssignac et al (2017, hereafter M17) for a detailed discussion of these regional sea level change patterns.…”
Section: Introductionmentioning
confidence: 99%