Data underlying the publication: Regional barystatic sea-level trends and uncertainties 1993-2016
Datacite citation style:
Machado Lima de Camargo, Carolina; Hermans, Tim; Riva, Riccardo; Slangen, Aimee (2021): Data underlying the publication: Regional barystatic sea-level trends and uncertainties 1993-2016. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/16778794.v1
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Dataset
choose version:
version 4 - 2022-11-09 (latest)
version 3 - 2022-10-05
version 2 - 2022-09-05
version 1 - 2021-10-29
usage stats
2216
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2
citations
3029
downloads
categories
geolocation
worldwide
time coverage
1993-2016
licence
CC0
Regional barystatic sea-level change trend and uncertainties, from 2003-2016 and 1993-2016.
Attention: This dataset is linked to a submitted manuscript, and has not undergo peer review yet!
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 Regional Barystatic Sea-level Change in the Satellite Altimetry Era", submitted to the journal Earth System Dynamics
Code for exploring this dataset can be found on: https://github.com/carocamargo/barystatic_SL
Attention: This dataset is linked to a submitted manuscript, and has not undergo peer review yet!
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 Regional Barystatic Sea-level Change in the Satellite Altimetry Era", submitted to the journal Earth System Dynamics
Code for exploring this dataset can be found on: https://github.com/carocamargo/barystatic_SL
history
- 2021-10-29 first online, published, posted
publisher
4TU.ResearchData
format
netcdf;
pickle;
txt;
pdf
funding
- ALWO.2017.002
organizations
NIOZ Royal Netherlands Institute for Sea Research, Department of Estuarine and Delta SystemsTU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing
DATA
files (13)
- 3,439 bytesMD5:
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README.txt - 6,678 bytesMD5:
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coastal_examples_10-1993-2016.p - 7,446 bytesMD5:
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coastal_examples_10-2003-2016.p - 29,048,408 bytesMD5:
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final_dataset_1993-2016.nc - 58,078,936 bytesMD5:
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final_dataset_2003-2016.nc - 1,526 bytesMD5:
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global-final_combos-1993-2016_v2.p - 1,610 bytesMD5:
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global-final_combos-2003-2016_v2.p - 1,866 bytesMD5:
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global-final_dataset-1993-2016_v2.p - 2,570 bytesMD5:
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global-final_dataset-2003-2016_v2.p - 26,959,663 bytesMD5:
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masks_dict.pkl - 105,759 bytesMD5:
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Mass Source Variations Datasets.pdf - 24,890,819 bytesMD5:
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OM_reconstructions_1993-2016.p - 29,039,158 bytesMD5:
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OM_reconstructions_2003-2016.p -
download all files (zip)
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