Hopp til hovedinnhold

Kalender

Soon-Il An: Climate Hysteresis in Earth System Model Simulations

Tidspunkt

06. august 2025, 09:00-10:00

Sted

BCCR seminar room 4020, Jahnebakken 5

Abstract

Achieving net-zero or negative CO₂ emissions has become a critical global objective to mitigate climate change and promote the recovery of more stable climate conditions. However, the persistence of greenhouse gas-induced warming may extend beyond expectations due to the inertial properties of the Earth system. In this study, we examine climate hysteresis using the Community Earth System Model versions CESM1.2 and CESM2.0, wherein atmospheric CO₂ concentrations or emissions are gradually increased and subsequently reduced. Utilizing a spatially explicit quantification framework, we find that approximately 89% of the Earth’s surface exhibits irreversible changes in surface temperature. These changes are particularly pronounced over the Southern Ocean, the Arctic, and the North Atlantic. A distinct cold anomaly (‘cold blob’) forms in the northern North Atlantic during the CO₂ ramp-up phase, while a warm anomaly (‘warm blob’) appears during the ramp-down phase, clearly indicating hysteretic behavior. The delayed cooling of the Southern Hemisphere, coupled with the lagged response of the Atlantic Meridional Overturning Circulation (AMOC), further contributes to pronounced hysteresis in multiple components of the climate system. These include the Intertropical Convergence Zone (ITCZ), global monsoon systems, the El Niño–Southern Oscillation (ENSO), extreme weather events, and the Indian Ocean Dipole (IOD). The study also provides mechanistic insights into the dynamic processes underlying these hysteretic responses. 

Speaker information

Short biography
Soon-Il An is a Professor of Atmospheric Sciences at Yonsei University, Seoul, and Director of the Irreversible Climate Change Research Center (2018.06–2025.02), supported by the National Research Foundation of Korea. He earned his Ph.D. from Seoul National University in 1996 and previously served at the University of Hawaii. His research encompasses climate variability, ENSO dynamics, paleoclimate, and Earth system modeling, particularly focusing on hysteresis and irreversibility under anthropogenic forcing. He has authored over 200 SCI-indexed publications and contributed as a Lead Author to the IPCC AR5. Professor An has received numerous distinctions, including the National Academy of Sciences Award, the Frontiers Planet Prize, and multiple recognitions for research and teaching excellence. He is currently a member of the CLIVAR Science Steering Group.

Flere kalenderoppføringer

Se alle
Illustrasjonsbilde
16.02.26

BCCR Monday Seminar: Robust Estimates of Earth System Predictability of the First Kind Using the CESM2 Multiyear Prediction System (CESM2-MP)

Abstract Here, we present a new seasonal-to-multiyear Earth prediction system, Community Earth System Model, version 2, multiyear prediction system (CESM2-MP), based on the CESM2. A 20-member ensemble that assimilates oceanic temperature and salinity anomalies provides the initial conditions for 5-yr predictions from 1960 to 2020. We analyze skills using pairwise ensemble statistics, calculated among individual members (IMs), and compare the results with those obtained from the more commonly used ensemble-mean (EM) approach. This comparison is motivated by the fact that an EM of a nonlinear dynamical system generates, unlike reality, a heavily smoothed trajectory, akin to the evolution of a slow manifold. However, for most autonomous nonlinear systems, the EM does not even represent a solution of the underlying physical equations, and it should therefore not be used as an estimate of the expected trajectory. The IM-based approach is less sensitive to ensemble size than EM-based skill computations, and its estimates of attainable prediction skills are closer to the actual skills. Using IM-based statistics helps to unravel the physics of predicted patterns in the CESM2-MP and their relationship to ocean–atmosphere–land interactions and climate modes of variability. Furthermore, the IM-based method emphasizes predictability of the first kind, which is associated with initial error sensitivity. In contrast, the EM-based method is more sensitive to the predictability of the second kind, which is associated with the external forcing and time-varying boundary conditions. Calculating IM-based skills for the CESM2-MP provides new insights into the sources of predictability originating from ocean initial conditions, helping to delineate and quantify the forecast limits of internal climate variability. Speaker information Yong-Yub is a new postdoctoral researcher at the Geophysical Institute at the University of Bergen. His research focuses on multiyear-to-centennial changes in marine biogeochemistry, the predictability of biogeochemical processes, and potential tipping points in the ocean system. He completed his PhD in Physical Oceanography at Seoul National University, where he used the ROMS regional ocean model to investigate future environmental changes in the East Asian marginal seas. He subsequently worked at the IBS Center for Climate Physics (ICCP), where he developed a multiyear prediction system based on CESM2 (CESM2-MP).
Illustrasjonsbilde
13.02.26

New at Bjerknes meeting

Information meeting for new members of the Bjerknes Centre. Contact the administration for invitation or information.