Abstract
Despite its far-reaching implications, accurately characterizing the non-linear dynamics of the Atlantic Meridional Overturning Circulation (AMOC) remains a significant challenge. Complex models, including Earth System Models (ESMs) and Earth System Models of Intermediate Complexity (EMICs), offer valuable insights; however, they are computationally expensive and subject to substantial uncertainties in identifying AMOC tipping points. In contrast, simple conceptual models based on simple dynamical systems have been developed to represent tipping elements such as the AMOC. These models can be calibrated against complex models to explore various scenarios and forcing spaces, functioning as emulators. Traditionally, such emulators have focused on a single forcing variable, typically global mean temperature, despite the well-established influence of freshwater fluxes on AMOC dynamics. Moreover, existing two-forcing AMOC emulators lack robust calibration methods against complex models.
MethodsIn this study, we develop and validate a two-forcing AMOC emulator that incorporates global mean temperature and freshwater flux, grounded in non-linear dynamics. The emulator is calibrated against the AMOC response within the EMIC cGENIE. After validation, the emulator is integrated into SURFER, a reduced-complexity climate model, enabling rapid simulation of AMOC trajectories under diverse emission scenarios.
ResultsBy accounting for Greenland Ice Sheet melt, the emulator captures three additional collapse trajectories for emission scenarios ranging from SSP3-7.0 to SSP5-8.5. Furthermore, the emulator allows an assessment of the critical forcing manifold of the AMOC in the complex model, enabling the identification of combined forcing thresholds for the AMOC and serving as a tool for comparing the sensitivities of complex models.
ConclusionsWith its low computational cost and calibration accuracy, our emulator offers an efficient tool for exploring AMOC dynamics in future climatic scenarios. Finally, the methods used to develop this emulator are generalizable, providing a framework for studying other tipping elements in research.
Plain Language Summary
As global temperatures rise due to greenhouse gas emissions, certain key components of the Earth’s climate system are approaching critical thresholds known as tipping points, beyond which large, potentially irreversible changes may occur. One such tipping element is the Atlantic Meridional Overturning Circulation (AMOC), a crucial ocean current responsible for redistributing heat between the hemispheres. If the AMOC were to collapse, it could result in substantial regional changes in temperature, precipitation, and other critical aspects of the climate. However, the exact location of the AMOC tipping point and the time it would take to collapse remain uncertain. Complex models remain uncertain, and running them is computationally expensive, making it difficult to explore a wide range of potential future scenarios. In this study, we developed an emulator—a simplified conceptual model calibrated on a more complex model—to reproduce the behaviour of the AMOC during a potential collapse. This emulator is built on a new methodology that improves the alignment between simplified dynamics and complex models. The resulting tool enables the production of numerous AMOC simulations under various emission scenarios with low computational cost, while remaining consistent with our understanding of the physical processes that govern the AMOC. We present simulations, with this emulator, showing AMOC collapse under future high emission pathways. This emulator and methods enable researchers to better explore the potential responses of the AMOC to future emissions and strengthens our ability to predict and prepare for abrupt changes in the climate system.
Amendment
In terms of scientific content, we carried out a new calibration experiment for the timescale parameter of the emulator. In addition, we performed four new validation experiments to ensure a clear separation between the experiments used for calibration and those used for validation. The general conclusions reported in the previous version remain unchanged, but they are now supported with greater rigor and strengthened scientific reliability.
Finally, regarding specific methodological concerns raised by the reviewers, we provide detailed responses in the “Reply to Reviewers” section included at the end of the article.
