4C Project factsheet on reducing uncertainties in climate projections with emergent constraints

The transition to a low-carbon economy is expected to increase material requirements, as low-carbon technologies (LCTs) typically require more materials than fossil fuel-based energy systems. Here, we extend the MEDEAS-Spain Integrated Assessment Model (IAM) to improve the representation of material requirements, stocks, and flows. Key novelties are: (i) the use

This study uses advanced machine learning algorithms to analyze the indicators influencing national climate ambition in 2030 emissions targets and net-zero pledges. By focusing on technical and social feasibility, and political credibility, we assess climate ambition of countries through cumulative per capita emissions from 2021 to the net-zero target year.

Foundation models for Earth systems have so far been trained primarily on physical climate and weather data, with limited representation of the human systems that both drive and respond to environmental change. The lack of a unified global training resource that combines climate, land, ocean, cryosphere, infrastructure, hazards, and socioeconomic