Data underlying the publication: Trends and Uncertainties of Mass-driven Sea-level Change in the Satellite Altimetry Era (1993-2016)

Datacite citation style

Machado Lima de Camargo, Carolina; Hermans, Tim; Riva, Riccardo; Slangen, Aimee (2022): Data underlying the publication: Trends and Uncertainties of Mass-driven Sea-level Change in the Satellite Altimetry Era (1993-2016). Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/16778794.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Delft University of Technology logo

Usage statistics

2515
views
2
citations
3828
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Geolocation

worldwide

Time coverage

1993-2016

Licence

CC0

Interoperability

Regional mass-drive (barystatic) sea-level change trend and uncertainties, from 2003-2016 and 1993-2016.

Barystatic sea-level change (also known as ocean mass change) is driven by the exchange of freshwater between the land and the ocean, such as melting of continental ice from glaciers and ice sheets, and variations in land water storage.


Here, we use a range of estimates for the individual freshwater sources, which are used to compute regional patterns (fingerprints) of barystatic sea-level change.


We then compute the trend (rate of sea-level change), and quantify three types of uncertainties of these regional barystatic sea-level change fields:

1. Intrinsic uncertainty: related to the observational error;

2. Temporal uncertainty: related to the temporal variability in the time series;

3. Spatial-structural: related to the location/distribution of the mass change sources;


The methods used to obtain this dataset, as well as the results, are presented in the manuscript "Trends and Uncertainties of Mass-driven Sea-level Change in the Satellite Altimetry Era", published in Earth System Dynamics (https://doi.org/10.5194/esd-2021-80)



Code for exploring this dataset can be found on: https://github.com/carocamargo/barystatic_SL


History

  • 2021-10-29 first online
  • 2022-09-05 published, posted

Publisher

4TU.ResearchData

Format

netcdf; pickle; txt; pdf

Funding

  • ALWGO.2017.002

Organizations

NIOZ Royal Netherlands Institute for Sea Research, Department of Estuarine and Delta Systems
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing

DATA

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