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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Online Access: | https://dx.doi.org/10.4121/uuid:4ecc3333-a25b-477a-a373-0503423ec9b1 https://data.4tu.nl/articles/_/12693806/1 |
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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 |
_version_ |
1766025522014322688 |