This page lists datasets that we have produced and are freely available as part as the GlobalMass project.
| Description | Dataset | DOI | Associated paper | Date | Visualisations |
|---|---|---|---|---|---|
| Matlab scripts and datasets to separate Glacial Isostatic Adjustment (GIA) signal and Present Day Surace Mass Change (PDSMC) signal in contemporary GNSS observations and GRACE data | Matlab scripts and datasets in Githut repository | n/a | August 2022 | ||
| Bayesian hierarchical model annual mass trends for the Antarctic Peninsular, including constituent processes. | Mass evolution of the Antarctic Peninsula over the last 2 decades from a joint Bayesian inversion | n/a | Chuter S et al. (2022) Mass evolution of the Antarctic Peninsula over the last 2 decades from a joint Bayesian inversion The Cryosphere, (doi:10.5194/tc-16-1349-2022). | April 2022 | |
| Antarctic mass trends, produced using a Bayesian hierarchical model (BHM) approach, for the period 2003-2015 | Antarctic BHM mass trends for the period 2003-2015 | n/a | Martín‐Español A et al. ( 2016), Spatial and temporal Antarctic Ice Sheet mass trends, glacio‐isostatic adjustment, and surface processes from a joint inversion of satellite altimeter, gravity, and GPS data, JGR: Earth Surface, 121, 182– 200 (doi:10.1002/2015JF003550). | May 2019 | Click here |
| Supporting data and files for PNAS paper that provides predictions of future ice sheet contribution to sea level rise from Structured Expert Judgement (SEJ) | Data from GlobalMass (02-2019) | 10.5523/bris.23k1jbtan6sjv2huakf63cqgav | Bamber JL et al. (2019) Ice sheet contributions to future sea-level rise from structured expert judgment PNAS (doi:10.1073/pnas.1817205116). | February 2019 | |
| A synthesis of global land ice mass trend results published, primarily, since the IPCC AR5 (2013) drawing on i) the published literature, ii) expert assessment of that literature, and iii) a new analysis of Arctic glacier and ice cap trends combined with statistical modelling. | A new synthesis of annual land ice mass trends 1992 to 2016 | 10.1594/PANGAEA.890030 | Bamber, JL et al. (2018): The land ice contribution to sea level during the satellite era. Environmental Research Letters 13(6). doi: 10.1088/1748-9326/aac2f0 | May 2018 | Click here |
| A global dataset of ~4000 GPS vertical velocities that can be used as observational estimates of glacial isostatic adjustment (GIA) uplift rates. | A new global GPS dataset for testing and improving modelled GIA uplift rates | 10.1594/PANGAEA.889923 | Schumacher, M et al. (2018): A novel global GPS dataset for glacio isostatic adjustment assessments. Geophysical Journal International | May 2018 | Click here |