Riva, Riccardo; Sun, Y. (Yu) (2020): Data underlying the figures presented in the paper: A global semi-empirical GIA model based on GRACE data. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:4ecc3333-a25b-477a-a373-0503423ec9b1

Dataset

• Geophysics
• Climate and Climate Change
• Geomatic Engineering

cryosphere, Glacial isostatic adjustment, land hydrology.

2003-01/2016-08

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Riccardo Riva , Y. (Yu) Sun

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).

• 2020-01-23 first online, published, posted

4TU.Centre for Research Data

media types: application/x-netcdf, application/zip, text/plain

Key Laboratory of Data Mining and Sharing of Ministration of Education, Fuzhou University, Fuzhou, China;
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing