EGU23-10715, updated on 26 Feb 2023
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Towards global km-scale greenhouse warming simulations with the AWI-CM3

Sun-Seon Lee1,2, Axel Timmermann1,2, Thomas Jung3, Tido Semmler3, Jung-Eun Chu4, Jan Streffing3, and Pavan Harika Raavi1,2
Sun-Seon Lee et al.
  • 1IBS Center for Climate Physics, Busan, South Korea
  • 2Pusan National University, Busan, South Korea
  • 3Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Am Handelshafen 12, 27570 Bremerhaven, Germany
  • 4Low-Carbon and Climate Impact Research Centre, School of Energy and Environment, City University of Hong Kong, Hong Kong, China

In the past 5 years large efforts have been made to improve our understanding of scale-interactions in the Earth system, and to better resolve atmospheric and oceanic meso-scale processes and their response to greenhouse warming. Here, we provide an overview of the technical and scientific achievements of a new collaboration between the IBS Center for Climate Physics (South Korea) and the Alfred Wegener Institute for Polar and Marine Research (Germany) to simulate the climate system at km-scale resolution using the AWI Climate Model, version 3 (AWI-CM3). AWI-CM3 is based on the OpenIFS-FESOM2 coupled model and we conducted several control simulations and transient greenhouse warming runs in a medium-resolution (MR) configuration (31 km in the OpenIFS and 5~27 km in the FESOM2, ‘Tco319-DART’). These simulations will be used in future as initial conditions for shorter coupled storm-resolving (SR) simulations with target resolutions of 9 km and 4 km (Tco1279 and Tco2559). Our presentation focuses on the performance of the MR configuration (with a throughput of about 7 simulation years per day on 350 nodes) and its representation of the mean climate, climate variability such as the El Niño-Southern Oscillation, tropical cyclone statistics. We will also present preliminary estimates of the expected scaling behavior of the AWI-CM3 SR configuration on different multi-Petaflop supercomputing systems.

How to cite: Lee, S.-S., Timmermann, A., Jung, T., Semmler, T., Chu, J.-E., Streffing, J., and Raavi, P. H.: Towards global km-scale greenhouse warming simulations with the AWI-CM3, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-10715,, 2023.