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Zammit-Mangion A, Rougier J, Schön N, et al. Multivariate spatio-temporal modelling for assessing Antarctica's present-day contribution to sea-level rise. Environmetrics. 2015;26(3):159-177doi: 10.1002/env.2323.
Zammit-Mangion, A., Rougier, J., Schön, N., Lindgren, F., & Bamber, J. (2015). Multivariate spatio-temporal modelling for assessing Antarctica's present-day contribution to sea-level rise. Environmetrics, 26(3), 159-177. https://doi.org/10.1002/env.2323
Zammit-Mangion, Andrew, et al. "Multivariate spatio-temporal modelling for assessing Antarctica's present-day contribution to sea-level rise." Environmetrics vol. 26,3 (2015): 159-177. doi: https://doi.org/10.1002/env.2323
Zammit-Mangion A, Rougier J, Schön N, Lindgren F, Bamber J. Multivariate spatio-temporal modelling for assessing Antarctica's present-day contribution to sea-level rise. Environmetrics. 2015 May;26(3):159-177. doi: 10.1002/env.2323. Epub 2015 Jan 16. PMID: 25937792; PMCID: PMC4413369.
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Environmetrics. 2015 May;26(3):159-177. doi: 10.1002/env.2323. Epub 2015 Jan 16.

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

Environmetrics

Andrew Zammit-Mangion, Jonathan Rougier, Nana Schön, Finn Lindgren, Jonathan Bamber

Affiliations

  1. School of Geographical Sciences, University of Bristol Bristol, BS8 1SS, U.K. ; Department of Mathematics, University of Bristol Bristol, BS8 1TW, U.K.
  2. Department of Mathematics, University of Bristol Bristol, BS8 1TW, U.K.
  3. School of Geographical Sciences, University of Bristol Bristol, BS8 1SS, U.K.
  4. Department of Mathematical Sciences, University of Bath Bath, BA2 7AQ, U.K.

PMID: 25937792 PMCID: PMC4413369 DOI: 10.1002/env.2323

Abstract

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

Keywords: Multivariate modelling; parallel MCMC; sea-level rise; spatio-temporal statistics; stochastic partial differential equations

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