[A-CG46] エミュレータの開発と応用

[ACG46-02] Assessing carbon cycle projections from complex and simple models under concentration-driven Shared Socioeconomic Pathways

*Irina Melnikova^1,2、Philippe Ciais²、Olivier Boucher³、Katsumasa Tanaka^1,2 (1.National Institute for Environmental Studies (NIES)、2.Laboratoire des Sciences du Climat et de l’Environnement (LSCE)、3.Institut Pierre-Simon Laplace (IPSL))

キーワード：carbon cycle, emulator, ESM, projection, climate change, SSP

Both full-fledged Earth system models (ESMs) and simple climate models (SCMs) have been used to investigate climate change for future representative CO₂ concentration pathways under the sixth phase of the Coupled Model Intercomparison Project. Here, we explore to what extent complex and simple models are consistent in their carbon cycle response in concentration-driven simulations. Although ESMs and SCMs exhibit similar compatible fossil fuel CO₂ emissions, ESMs systematically estimate a lower ocean carbon uptake than SCMs in the historical period and future scenarios. The ESM and SCM differences are especially large under low-concentration and overshoot scenarios. Furthermore, ESMs and SCMs deviate in their land carbon uptake estimates, but the differences are scenario dependent. These differences are partly driven by a few model outliers (ESMs and SCMs) and the procedure of observational constraining that is present in the majority of SCMs but not applied in ESMs. The differences in land uptake arise from the difference in the way land-use change (LUC) emissions are calculated and different assumptions on how the carbon cycle feedbacks are defined, possibly reflecting the treatment of nitrogen limitation of biomass growth and historical calibration of SCMs. The differences in ocean uptake, which are especially large in overshoot scenarios, may arise from the faster mixing of carbon from the surface to the deep ocean in SCMs than in ESMs. We also discuss the inconsistencies that arise when converting CO₂ emissions from integrated assessment models (IAMs) to CO₂ concentrations inputs for ESMs, which typically rely on a single SCM. We further highlight the discrepancies in LUC emission estimates between models of different complexity, particularly ESMs and IAMs, and encourage climate modeling groups to address these potential areas for model improvement.

Reference: Melnikova, I., Ciais, P., Boucher, O. et al. Assessing carbon cycle projections from complex and simple models under SSP scenarios. Climatic Change 176, 168 (2023). https://doi.org/10.1007/s10584-023-03639-5