CCICC: Climate-Carbon Interactions in the Coming Century


CCiCC addresses the crucial knowledge gap in the climate sensitivity to carbon dioxide emissions, by reducing uncertainty in our quantitative understanding of carbon-climate interactions and feedbacks. This will be achieved through innovative integration of models and observations, providing new constraints on modelled carbon-climate interactions and climate projections, and supporting IPCC assessments and policy objectives.

To meet this objective, CCiCC will (a) provide a step change in our ability to quantify the key processes regulating the coupled carbonclimate system, (b) use observational constraints and improved processes understanding to provide multi-model near-term predictions and longterm projections of the climate in response to anthropogenic emissions, and (c) deliver policy-relevant carbon dioxide emission pathways consistent with the UNFCCC Paris Agreement (PA) goals.

To achieve its goals, CCiCC will develop and use: state-of-the-art Earth System Models (ESMs) including biogeochemical processes not included in previous IPCC reports; novel observations to constrain the contemporary carbon cycle and its natural variability; ESM-based decadal predictions including carbon-climate feedbacks and novel initialisation methods; novel emergent constraints and weighting methods to reduce uncertainty in carbon cycle and climate projections; and novel climate scenarios following adaptive CO2 emission pathways.

CCiCC will support two central elements of the PA. First, the PA global stocktakes, by providing policy-relevant predictions of atmospheric CO2 and climate in response to the national determined contributions. Second, the PA ambitions to keep global warming well below 2°C, by providing robust estimates of the remaining carbon budgets and available pathways. CCiCC will bring together leading European groups on climate modelling and on carbon cycle research, uniquely securing Europe s leadership in actionable science needed for the IPCC assessments.