EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

Sophie Goliber1, Jason Briner1, Sophie Nowicki1, Beata Csatho1, Renette Jones-Ivey1, William Lipscomb2, Abani Patra3, Kristin Poinar1, Justin Quinn4, Anton Schenk1, and Katherine Thayer-Calder2
Sophie Goliber et al.
  • 1University at Buffalo, Buffalo, USA
  • 2University Corporation for Atmospheric Research, Boulder, USA
  • 3Tufts University, Medford, USA
  • 4NASA Jet Propulsion Laboratory, USA

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 the 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 present Ghub, a community-building scientific and educational cyberinfrastructure framework that includes models and data processing tools, online simulation, and collaboration support, available for use at Ghub enables collaboration between ice sheet scientific communities and acts as a host for the open-source tools that are becoming more common in the field of ice sheet science. We provide an overview of the Ghub framework, with examples of tools, tutorials, and educational content that are ready to use, and visions for extending these and other upcoming developments. These tools target a wide range of audiences, ranging from ice sheet modeling community efforts such as the Ice Sheet Model Intercomparison Project for CMIP6 (ISMIP6) to more specialized process-orientated investigations. We also outline the process for scientists to host their data and tools on the platform.

How to cite: Goliber, S., Briner, J., Nowicki, S., Csatho, B., Jones-Ivey, R., Lipscomb, W., Patra, A., Poinar, K., Quinn, J., Schenk, A., and Thayer-Calder, K.: Ghub: A new community-driven data-model resource for ice-sheet scientists, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-17128,, 2023.