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