Speaker
Description
The melting of the polar ice sheets contributes considerably to ongoing sea-level rise and changing ocean circulation, leading to coastal flooding and impacting tens of millions of people globally. However, we are yet unable to accurately predict how quickly the ice sheets will continue to shrink contributing to the sea level rise. In particular, we are still challenged by a limited understanding of transdisciplinary processes that determine ice sheet change, such as the role of subglacial topography and ice-atmosphere-ocean interactions.
iHARP research aims to (1) integrate heterogeneous, noisy, and discontinuous data in space and time, (2) integrate data with numerical and physical models via physics-informed machine learning and causal Artificial intelligence (AI), (3) develop spatial-temporal algorithms to forecast the changes in the Arctic and Antarctic, and (4) build scalable algorithms to apply our solutions at a global scale.
iHARP serves as a research hub where experts in data science, Arctic and Antarctic science, and cyberinfrastructure in academia, government, and private sectors come together to develop transformative and integrative data science solutions to reduce uncertainties in projecting future sea-level rise and climate change.
iHARP champions multiple clusters of research-integrated educational initiatives across diverse backgrounds of students, with a specific focus on facilitating cross-disciplinary collaborations, training next-generation multi-disciplinary researchers and engaging the public in scientific inquiry as related to climate change and data science. In partnership with related diverse communities, i-HARP designs curricula, and offers hands-on community workshops, lecture series, conference tutorials, and training.
| Research | https://iharp.umbc.edu/ |
|---|---|
| Education and Outreach | https://iharp.umbc.edu/news-and-events/ |
