Data underlying the figures presented in the paper: A global semi-empirical GIA model based on GRACE data

The NetCDF file FPA.nc contains the data used to generate Figures 1 and 2. The files NNN_Geoid.shc contain an ASCII version of normalised spherical harmonic coefficients of geoid height trend, including errors (1 standard deviation). There are five .shc files: one for the published GIA solution (Fig...

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Bibliographic Details
Main Authors: Riva, Riccardo, Sun, Y. Yu
Format: Dataset
Language:English
Published: 4TU.Centre for Research Data 2020
Subjects:
Online Access:https://dx.doi.org/10.4121/uuid:4ecc3333-a25b-477a-a373-0503423ec9b1
https://data.4tu.nl/articles/_/12693806/1
id ftdatacite:10.4121/uuid:4ecc3333-a25b-477a-a373-0503423ec9b1
record_format openpolar
spelling ftdatacite:10.4121/uuid:4ecc3333-a25b-477a-a373-0503423ec9b1 2023-05-15T13:32:16+02:00 Data underlying the figures presented in the paper: A global semi-empirical GIA model based on GRACE data Riva, Riccardo Sun, Y. Yu 2020 media types: application/x-netcdf, application/zip, text/plain https://dx.doi.org/10.4121/uuid:4ecc3333-a25b-477a-a373-0503423ec9b1 https://data.4tu.nl/articles/_/12693806/1 en eng 4TU.Centre for Research Data Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 CC0 Geophysics FOS Earth and related environmental sciences Climate and Climate Change Geomatic Engineering FOS Environmental engineering Glacial isostatic adjustment cryosphere land hydrology. Time 2003-01/2016-08 dataset Dataset 2020 ftdatacite https://doi.org/10.4121/uuid:4ecc3333-a25b-477a-a373-0503423ec9b1 2022-02-08T12:40:44Z The NetCDF file FPA.nc contains the data used to generate Figures 1 and 2. The files NNN_Geoid.shc contain an ASCII version of normalised spherical harmonic coefficients of geoid height trend, including errors (1 standard deviation). There are five .shc files: one for the published GIA solution (Fig.1), and four for the individual components of present-dat mass transport in the surface water layer (Fig.2): Antarctica (ANT: including peripheral glaciers), Greenland (GRE: including peripheral glaciers), glaciers (GLA: worldwide, except for ice-sheet peripherals), and terrestrial water storage (TWS). Dataset Antarc* Antarctica Greenland Ice Sheet DataCite Metadata Store (German National Library of Science and Technology) Greenland
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Geophysics
FOS Earth and related environmental sciences
Climate and Climate Change
Geomatic Engineering
FOS Environmental engineering
Glacial isostatic adjustment
cryosphere
land hydrology.
Time 2003-01/2016-08
spellingShingle Geophysics
FOS Earth and related environmental sciences
Climate and Climate Change
Geomatic Engineering
FOS Environmental engineering
Glacial isostatic adjustment
cryosphere
land hydrology.
Time 2003-01/2016-08
Riva, Riccardo
Sun, Y. Yu
Data underlying the figures presented in the paper: A global semi-empirical GIA model based on GRACE data
topic_facet Geophysics
FOS Earth and related environmental sciences
Climate and Climate Change
Geomatic Engineering
FOS Environmental engineering
Glacial isostatic adjustment
cryosphere
land hydrology.
Time 2003-01/2016-08
description The NetCDF file FPA.nc contains the data used to generate Figures 1 and 2. The files NNN_Geoid.shc contain an ASCII version of normalised spherical harmonic coefficients of geoid height trend, including errors (1 standard deviation). There are five .shc files: one for the published GIA solution (Fig.1), and four for the individual components of present-dat mass transport in the surface water layer (Fig.2): Antarctica (ANT: including peripheral glaciers), Greenland (GRE: including peripheral glaciers), glaciers (GLA: worldwide, except for ice-sheet peripherals), and terrestrial water storage (TWS).
format Dataset
author Riva, Riccardo
Sun, Y. Yu
author_facet Riva, Riccardo
Sun, Y. Yu
author_sort Riva, Riccardo
title Data underlying the figures presented in the paper: A global semi-empirical GIA model based on GRACE data
title_short Data underlying the figures presented in the paper: A global semi-empirical GIA model based on GRACE data
title_full Data underlying the figures presented in the paper: A global semi-empirical GIA model based on GRACE data
title_fullStr Data underlying the figures presented in the paper: A global semi-empirical GIA model based on GRACE data
title_full_unstemmed Data underlying the figures presented in the paper: A global semi-empirical GIA model based on GRACE data
title_sort data underlying the figures presented in the paper: a global semi-empirical gia model based on grace data
publisher 4TU.Centre for Research Data
publishDate 2020
url https://dx.doi.org/10.4121/uuid:4ecc3333-a25b-477a-a373-0503423ec9b1
https://data.4tu.nl/articles/_/12693806/1
geographic Greenland
geographic_facet Greenland
genre Antarc*
Antarctica
Greenland
Ice Sheet
genre_facet Antarc*
Antarctica
Greenland
Ice Sheet
op_rights Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
cc0-1.0
op_rightsnorm CC0
op_doi https://doi.org/10.4121/uuid:4ecc3333-a25b-477a-a373-0503423ec9b1
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