Ghub: A new community-driven data-model resource for ice-sheet scientists

Abstract:

The urgency in reducing uncertainties of near-term sea level rise relies on improved modeling of ice sheet response to climate change. Predicting future ice sheet change requires a tremendous effort across a range of disciplines in ice sheet science, including expertise in observational data, paleoglaciology, numerical ice sheet modeling, and widespread use of emerging methodologies for learning from the data. However, significant knowledge and disciplinary barriers make collaboration between data and model groups the exception rather than the norm. We seek to improve the efficiency in collaboration among traditionally disparate approaches to this problem. We are developing a community-building scientific and educational cyberinfrastructure framework that includes models and data processing tools, online simulation and collaboration support, already piloted as "Ghub" (vhub.org/groups/ghub), to enable coordination and synergistic exchange between ice sheet scientific communities. Our Ghub project will initially span 5 years and aim to engage the community of ice sheet scientists via conference townhalls and several organized workshops. This presentation will provide an overview of the Ghub framework and timeline, with examples of tools already available or that are in progress. These tools target a wide range of audience, ranging from ice sheet modeling community efforts such as the Ice Sheet Model Intercomparison Project for CMIP6 (ISMIP6) to more specialized process orientated investigations.