Predicting future ice-sheet change requires a tremendous effort across a range of disciplines in ice-sheet science including expertise in observational data, paleoglaciology data, numerical ice sheet modeling, and widespread use of emerging methodologies (such as machine learning) for interpreting the data. There are knowledge and disciplinary barriers that make collaboration between data and model groups more difficult than it ought to be. Enter Ghub, a community-building scientific and educational cyberinfrastructure framework.

Ghub hosts models, data, workflows, and data processing and uncertainty quantification tools, and enables coordination between ice-sheet scientific communities. GHub connects the numerical ice-sheet modeling community with rapidly growing observational datasets of past and present ice-sheet states that will ultimately improve predictions of sea level rise.

Ghub is a centralized hub for all different types of ice sheet scientists, from those new to ice sheets to seasoned researchers, and for educators interested in ice sheet science. Anyone can obtain a free account. Join us!
Features of Ghub
Tools
Currently available tools include:
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Users can run these could-based tools, download and adapt the code for their own use, and/or contribute new or derived tools.
Datasets
Currently available datasets include:
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We gratefully acknowledge support by the US National Science Foundation and EarthCube.

