Multivariate spatio-temporal modelling for assessing Antarctica's present-day contribution to sea-level rise

• Published in: Environmetrics
• Main Authors: Zammit-Mangion, Andrew, Rougier, Jonathan, Schön, Nana, Lindgren, Finn, Bamber, Jonathan
• Format: Text
• Language: English
• Published: Blackwell Publishing Ltd 2015
• Subjects: Research Articles; Antarc*; Antarctica; Ice Sheet
• Online Access: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4413369/; https://doi.org/10.1002/env.2323

Antarctica is the world's largest fresh-water reservoir, with the potential to raise sea levels by about 60 m. An ice sheet contributes to sea-level rise (SLR) when its rate of ice discharge and/or surface melting exceeds accumulation through snowfall. Constraining the contribution of the ice sheets to present-day SLR is vital both for coastal development and planning, and climate projections. Information on various ice sheet processes is available from several remote sensing data sets, as well as in situ data such as global positioning system data. These data have differing coverage, spatial support, temporal sampling and sensing characteristics, and thus, it is advantageous to combine them all in a single framework for estimation of the SLR contribution and the assessment of processes controlling mass exchange with the ocean.