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H2020 4C Project: Climate-Carbon Interactions in the Current Century

  • Type Project
  • Status Filled
  • Execution 2019 -2023
  • Assigned Budget 7.784.750,00 €
  • Scope Europeo
  • Main source of financing H2020
  • Project website Proyecto 4C
Description
Climate change feedbacks are important for understanding global warming, as feedback processes can amplify or attenuate the effect of climate forcing. Therefore, they play a critical role in determining climate sensitivity and the future state of the climate. The EU-funded CCiCC project seeks to reduce uncertainty in the quantitative understanding of carbon-climate interactions and feedbacks. Scientists will quantify the key processes regulating the coupled carbon-climate system and use observational constraints to generate long-term climate projections in response to anthropogenic emissions. The project will also develop policy recommendations on carbon dioxide emission trajectories. CCiCC analyses and data will help experts better assess how carbon dioxide emissions affect climate change.
Description of activities
We develop new observational constraints on combined global and regional terrestrial and oceanic CO2 fluxes to support quantitative understanding of the global carbon budget. In addition to the global carbon budget, we have developed global oxygen and carbon isotope (13C) budgets, generating an expanded satellite-based atmospheric CO2 (xCO2) dataset. In parallel, we develop new observation-based data products on ocean surface pCO2, inorganic carbon in the ocean interior, terrestrial soil water content, and net productivity of forest ecosystems. These new observations are used to constrain historical simulations of the global carbon cycle and reduce uncertainties in quantifying historical terrestrial and oceanic carbon sinks. We develop new Earth System Model (ESM) frameworks to predict the near-term evolution of the carbon cycle. First, we use these ESM to understand and quantify the potential predictability of terrestrial and oceanic carbon sinks. We then validate our modeling systems by quantifying their ability to predict the recent past once the observed climate is assimilated to initial conditions. Finally, we use these models to make realistic near-future predictions of the global carbon cycle. We develop new emergent constraints for the terrestrial carbon cycle, based on observed soil moisture and soil turnover times, to constrain future changes in the cycle. We also develop new emergent constraints for the oceanic carbon cycle, using observed sea surface salinity or Arctic Ocean surface water density, to constrain ocean carbon cycle projections. We develop new adaptive scenarios for Environmental Analysis Models (EMAs), allowing us to diagnose the range of future global CO2 (and non-CO2) emissions that would be consistent with global warming of 1.5°C or 2°C. We disseminate our results through direct engagement with policymakers and the IPCC, the development of a new user-friendly science platform (ScienceBrief), dedicated policy briefs and carbon outlooks, short videos, press releases, and ongoing social media activity.
Contextual description
Climate carbon cycle feedbacks can potentially amplify climate change during the 21st century. These processes therefore play an important role in determining the climate response to anthropogenic carbon dioxide (CO2) emissions. The EU-funded 4C project addressed the crucial knowledge gap in the sensitivity of the climate system to CO2 emissions and aimed to improve our quantitative understanding of carbon-climate interactions and feedbacks. This was achieved through the innovative integration of models and observations, providing new constraints on carbon-climate interactions and climate projections, and supporting IPCC assessments and policy objectives. 4C achieved four overarching objectives. 1) 4C significantly improved our understanding of the global carbon cycle over the recent past by generating new atmospheric, oceanic, and terrestrial observational constraints on the carbon cycle to assess and improve carbon cycle model simulations of present-day terrestrial and oceanic carbon sinks. 2) 4C developed a new Earth System Model capability to predict the evolution of global carbon cycle variability over the next decade, predicting the annual growth rate of atmospheric CO2 and the strength of land-based and oceanic carbon sinks, accounting for natural climate variability, in the context of the Paris Agreement. 3) 4C developed new emerging constraints on land-based and oceanic carbon fluxes to improve our understanding of climate-carbon feedbacks over the 21st century. 4C also developed new adaptive scenarios that allow diagnosing future greenhouse gas emissions compatible with a given climate goal, such as the 1.5°C limit set out in the Paris Agreement. 4) 4C ensured the usability of the knowledge generated by scientific research and engaged in bilateral interactions between scientists and policymakers, while fostering understanding of the findings for wider society.
Objectives
4C addresses the crucial knowledge gap on 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, placing new constraints on modeled carbon-climate interactions and climate projections, and supporting IPCC assessments and policy objectives. To meet this goal, 4C will (a) provide a step change in our ability to quantify the key processes regulating the coupled carbon-climate system, (b) use observational constraints and improved process understanding to provide near-term multi-model predictions and long-term projections of climate in response to anthropogenic emissions, and (c) deliver policy-relevant carbon dioxide emission pathways consistent with the objectives of the UNFCCC Paris Agreement (PA). To achieve its objectives, 4C 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 that include carbon-climate feedbacks and new initialization methods; new emerging constraints and weighting methods to reduce uncertainty in carbon cycle and climate projections; and new climate scenarios that follow adaptive CO2 emission pathways. 4C will support two core elements of the PA. First, the global PA balance sheet, providing policy-relevant predictions of atmospheric CO2 and climate in response to Nationally Determined Contributions. Second, the PA aims to keep global warming well below 2°C by providing robust estimates of remaining carbon budgets and available pathways. 4C will bring together leading European groups in climate modeling and carbon cycle research, uniquely ensuring Europe's leadership in the practical science needed for IPCC assessments.
Results
4C developed state-of-the-art Earth System Models (MES) and their individual land and ocean components, including biogeochemical processes important for climate and carbon feedbacks. The project leveraged new observations to better constrain the contemporary carbon cycle and its variability on timescales ranging from seasonal to multidecadal. These include combined measurements of CO2, oxygen, and carbon isotopes that together identify the underlying processes and drivers of interannual to decadal variability. In parallel, 4C is developing new and improved products based on land and ocean carbon flux data to evaluate MES carbon cycle models, improve process representation, and reduce carbon budget imbalances. These new products include water fluxes and land storage, neural network-based scaling of pCO2 measurements, and a wide range of other products. at the ocean surface, changes in carbon stocks in the ocean interior, new atmospheric SOC data, satellite observations of SIF, and net productivity of forest ecosystems. These data provide new insights into ocean carbon uptake and vertical export, as well as terrestrial photosynthesis and related carbon sinks. 4C developed state-of-the-art Earth System Model (ESM) decadal predictions for the next decade, where models are driven by current and near-term future trajectories of CO2 and other greenhouse gas emissions, and also account for natural variability in the global carbon cycle driven by climate system variability. 4C developed new emerging constraints and weighting methods to reduce uncertainty in future projections of the transient climate response to CO2 emissions, carbon cycle feedbacks, and climate. 4C produced original adaptive scenarios and a modeling framework to drive Earth System Models (ESMs) in a setting where future emissions are refined to keep warming aligned with a predefined target (e.g., 1.5°C), providing our best estimates of remaining carbon budgets consistent with the ambitions of the Paris Agreement, accounting for major Earth system feedbacks. In summary, 4C made important advances in our understanding of the key processes regulating the interactions and feedbacks between the carbon cycle and the physical climate system, using observational constraints and improved process understanding to provide, for the first time, near-term predictions and long-term projections of the coupled climate-carbon system under ambitious mitigation scenarios. 4C supported two core elements of the UNFCCC Paris Agreement: the global inventory to track progress toward the long-term goal, and the mitigation effort to achieve a long-term objective of keeping the global average temperature increase to well below 2°C.
Coordinators
  • THE UNIVERSITY OF EXETER (UNEXE)