This page lists datasets that we have produced and are freely available as part as the GlobalMass project.

DescriptionDatasetDOIAssociated paperDateVisualisations
Antarctic mass trends, produced using a Bayesian hierarchical model (BHM) approach, for the period 2003-2015Antarctic BHM mass trends for the period 2003-2015n/aMartín‐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 2019Click 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.23k1jbtan6sjv2huakf63cqgavBamber 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 201610.1594/PANGAEA.890030Bamber, 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/aac2f0May 2018Click 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 rates10.1594/PANGAEA.889923Schumacher, M et al. (2018): A novel global GPS dataset for glacio isostatic adjustment assessments. Geophysical Journal InternationalMay 2018Click here