State and Fate of Antarctic Ice Shelves
This use case leverages a broad suite of Earth Observation data, in-situ observations, and reanalysis products to describe the current state and trends of ice shelves and their environment. The observational datasets include ice sheet observations that both affect ice shelf state and are affected by ice shelf retreat, as well as datasets over the ocean, sea ice, and atmosphere around Antarctica. Use case 3 also builds on the synergy between observations, ice sheet models, and machine learning to enable what-if scenarios related to ice shelf basal melting and damage. This data-driven approach enables scientists and other stakeholders to stay informed of the latest observational insights on ice shelves, making their workflow more efficient.
Use the code
Open source under an MIT licence and installable from PyPI.
Ice shelf state and fate
pip install ice-shelf-state-and-fatePyPI
- Climate Scientists: Researchers working to understand the mechanisms behind ice sheet dynamics and their influence on sea level changes.
- Environmental NGOs: Advocate for sustainable climate policies and actions.
- Scientific Advancement: The project will enable the scientific community to enhance its understanding of ice sheet dynamics and its role in sea level rise, fostering collaboration and further research.
- Public Awareness: Increased understanding of the factors driving sea level rise will help empower individuals and communities to take proactive steps in addressing climate change.
- Impact of change in basal melt on ice sheet volume above floatation and sea level contribution
- Damage forecasting based on future scenarios of ice shelf evolution
The ice shelf state and fate Use Case Demonstrator will be a series of dashboards and Jupyter Notebook, offering an intuitive interface for stakeholders for advanced data access and functionalities providing data-driven insights. The dashboards will allow users to rapidly access high level information on specific sectors of the Antarctic ice sheet and to run scenarios on ice shelf damage based on existing and user-derived model projection.

Mock up the ice shelf state and fate interactive reports.