This $683,266 project grant awarded by the National Science Foundation's Geosciences Program (CFDA 47.050) aims to reconstruct global ice volume and bottom water temperature over the past 3 million years. The research will analyze climate proxies from marine sediment cores, using machine learning algorithms to derive insights into the relationship between CO2, ice albedo, ocean temperature, and ice sheet expansion. The project will develop new proxy-based estimates of early Pleistocene ice volume and address key uncertainties in how changes in Earth's orbital tilt have influenced global climate over the 41,000-year oscillation period. This work is expected to provide better understanding of the long-term response of present-day ice sheets to rising temperatures. The project will foster interdisciplinary collaboration among early career scientists, graduate, and undergraduate students across earth sciences and applied mathematics disciplines. No sub-awards are planned for this grant, which has an award period from August 2024 to July 2027.
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