Nicole S. Khan
Inception of a global atlas of sea levels since the Last Glacial Maximum
Khan, Nicole S.; Horton, Benjamin P.; Engelhart, Simon; Rovere, Alessio; Vacchi, Matteo; Ashe, Erica L.; Törnqvist, Torbjörn E.; Dutton, Andrea; Hijma, Marc P.; Shennan, Ian
Authors
Benjamin P. Horton
Dr Simon Engelhart simon.e.engelhart@durham.ac.uk
Associate Professor
Alessio Rovere
Matteo Vacchi
Erica L. Ashe
Torbjörn E. Törnqvist
Andrea Dutton
Marc P. Hijma
Professor Ian Shennan ian.shennan@durham.ac.uk
Emeritus Professor
Abstract
Determining the rates, mechanisms, and geographic variability of relative sea-level (RSL) change following the Last Glacial Maximum (LGM) provides insight into the sensitivity of ice sheets to climate change, the response of the solid Earth and gravity field to ice-mass redistribution, and constrains statistical and physical models used to project future sea-level rise. To do so in a scientifically robust way requires standardized datasets that enable broad spatial comparisons that minimize bias. As part of a larger goal to develop a unified, spatially-comprehensive post-LGM global RSL database, in this special issue we provide a standardized global synthesis of regional RSL data that resulted from the first ‘Geographic variability of HOLocene relative SEA level (HOLSEA)’ meetings in Mt Hood, Oregon (2016) and St Lucia, South Africa (2017). The HOLSEA meetings brought together sea-level researchers to agree upon a consistent protocol to standardize, interpret, and incorporate realistic uncertainties of RSL data. This special issue provides RSL data from ten geographical regions including new databases from Atlantic Europe and the Russian Arctic and revised/expanded databases from Atlantic Canada, the British Isles, the Netherlands, the western Mediterranean, the Adriatic, Israel, Peninsular Malaysia, Southeast Asia, and the Indian Ocean. In total, the database derived from this special issue includes 5634 (5290 validated) index (n = 3202) and limiting points (n = 2088) that span from ∼20,000 years ago to present. Progress in improving the standardization of sea-level databases has also been accompanied by advancements in statistical and analytical methods used to infer spatial patterns and rates of RSL change from geological data that have a spatially and temporally sparse distribution and geochronological and elevational uncertainties. This special issue marks the inception of a unified, spatially-comprehensive post-LGM global RSL database.
Citation
Khan, N. S., Horton, B. P., Engelhart, S., Rovere, A., Vacchi, M., Ashe, E. L., …Shennan, I. (2019). Inception of a global atlas of sea levels since the Last Glacial Maximum. Quaternary Science Reviews, 220, 359-371. https://doi.org/10.1016/j.quascirev.2019.07.016
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 8, 2019 |
Online Publication Date | Aug 20, 2019 |
Publication Date | Sep 15, 2019 |
Deposit Date | Sep 4, 2019 |
Publicly Available Date | Sep 4, 2019 |
Journal | Quaternary Science Reviews |
Print ISSN | 0277-3791 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 220 |
Pages | 359-371 |
DOI | https://doi.org/10.1016/j.quascirev.2019.07.016 |
Public URL | https://durham-repository.worktribe.com/output/1294117 |
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Copyright Statement
© 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/
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