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Data supplement to 'Vertical land motion reconstruction unveils non-linear effects on relative sea level changes from 1900-2150'

Research datakeyboard_double_arrow_right Dataset 01 Sep 2023 English Publisher:Zenodo

Authors: Julius Oelsmann; Marta Marcos; Marcello Passaro; Laura Sanchez; Denise Dettmering; Sönke Dangendorf; Florian Seitz;

doi: 10.5281/zenodo.8308346 , 10.5281/zenodo.8308347

handle: 10261/361488

Data supplement to 'Vertical land motion reconstruction unveils non-linear effects on relative sea level changes from 1900-2150'

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Abstract

{"references": ["Oelsmann, J., Marcos, M., Passaro, M., S\u00e1nchez, L., Dettmering, D., Dangendorf, S., and Seitz, F. (2023): Vertical land motion reconstruction unveils non-linear effects on relative sea level changes from 1900-2150.", "Oelsmann, J.; Passaro, M.; S\u00e1nchez, L.; Dettmering, D.; Schwatke, C.; Seitz, F.; Bayesian modelling of piecewise trends and discontinuities to improve the estimation of coastal vertical land motion. Submitted to Journal of Geodesy, 2021", "Blewitt G, Kreemer C, Hammond WC, Gazeaux J (2016) Midas robust trend estimator for accurate gps station velocities without step detection. Journal of Geophysical Research: Solid Earth 121(3):2054\u20132068, DOI 10.1002/2015JB01255", "Holgate SJ, Matthews A, Woodworth PL, Rickards LJ, Tamisiea ME, Bradshaw E, Fo-den PR, Gordon KM, Jevrejeva S, Pugh J (2013) New Data Systems and Products at the Permanent Service for Mean Sea Level. Journal of Coastal Research pp 493\u2013504, DOI 10.2112/JCOASTRES-D-12-00175.1, URLhttps://doi.org/10.2112/JCOASTRES-D-12-00175.1"]}

This is a data supplement to 'Vertical land motion reconstruction unveils non-linear effects on relative sea level changes from 1900-2150'. It presents a global-scale Vertical Land Motion (VLM) reconstruction that resolves height changes in the period 1995-2020. It is based on the joint probabilistic analysis of an extensive network of more than 11,000 GNSS stations, tide gauges, and satellite altimetry. The approach used to derive this reconstruction is described in the paper. The dataset variables are explained in the .pdf file.

Please acknowledge the sources of the underlying GNSS, tide gauge, and altimetry data (as mentioned in the *netcdf-files).

Related Organizations

Tulane University
United States
Technical University of Munich
Germany

Keywords

GNSS, GPS, Non-linear, Uncertainty, Global, tide gauge, sea level projection, satellite altimetry, Vertical land motion, Relative sea level change, Sea level projection, non-linear, Sea level change, Satellite altimetry, Reconstruction, uncertainty, Tide gauge, sea level change, Bayesian Statistics

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