معرفی
Anna Poltronieri is a climate scientist affiliated with the University of Tromsø, focusing on Arctic sea ice dynamics, Greenland ice sheet projections, and climate modeling under global warming scenarios. Her work combines satellite data, CMIP6 models, and deep learning techniques to understand climate feedback mechanisms and energy exchange processes.
Research interests: Arctic sea ice decline, Greenland ice sheet melting thresholds, climate amplification, and historical climate field reconstruction using AI. Her studies address critical questions about climate tipping points and socio-economic impacts of polar transformations.
Scientific contributions: Peer-reviewed publications on Arctic amplification, ice sheet modeling, and deep learning applications in climate science, including collaborations with leading researchers like Niklas Boers and Martin Rypdal.
