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  Bayesian mean sea level projections at the coast

Perrette, M., Mengel, M. (2023): Bayesian mean sea level projections at the coast, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-3649

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5020893 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5020893_1
Genre: Conference Paper

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 Creators:
Perrette, Mahé1, Author
Mengel, Matthias1, Author
Affiliations:
1IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations, ou_5011304              

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 Abstract: Much progress has been made on determining the causes of regional mean sea level trends, thanks to observation and modeling of individual contributions and tighter constraints on vertical land motion through a network of GPS stations and the combined use of satellite altimetry and tide gauges (e.g. Hawkins et al, 2019; Frederikse et al 2021). Here we pull that knowledge together in a Bayesian framework to calibrate climate-driven empirical models and make mean sea level projections at global coastlines. We include a stochastic representation of ocean interannual variability that accounts for spatial correlations to consistently tie together the various observations with the climate-driven trend.

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Language(s): eng - English
 Dates: 2023-07-112023-07-11
 Publication Status: Finally published
 Pages: -
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 Identifiers: DOI: 10.57757/IUGG23-3649
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Title: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Place of Event: Berlin
Start-/End Date: 2023-07-11 - 2023-07-20

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Title: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Source Genre: Proceedings
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Publ. Info: Potsdam : GFZ German Research Centre for Geosciences
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