A comprehensive new study documents in detail the dynamics of parts of Greenland’s ice sheet, important data that have long been missing from the ice sheet models on which projections about sea level rise and global warming are based.
The research is published this month in the Journal of Glaciology, also demonstrates how remote sensing and digital imaging techniques can produce rich datasets without field data in some cases.
Traditionally, ice sheet models are very simplified, according to Beata Csatho, Ph.D., assistant professor of geology and lead author of the paper. The implications of these richer datasets may be dramatic, Csatho said, especially as they impact climate projections and sea-level rise estimates, such as those made by the United Nations Intergovernmental Panel on Climate Change (IPCC).