PSILOGO

Laboratory for Particle Physics (LTP)


LTP Colloquium

Towards km-Resolution Global Climate Models: Scientific and Technical Challenges

Thursday, May 20, 2021, 16:00
online only                                             (for the zoom link contact michael.spira@psi.ch, emanuele.bagnaschi@psi.ch or pulak.banerjee@psi.ch)

Christoph Schär, ETHZ

Abstract:
Current global climate models operate at horizontal grid spacings of 50 to 200 km, and are thus unable to resolve key small-scale atmospheric processes. Currently major efforts are underway toward refining the horizontal resolution to about 1 km, using both global and regional climate models (GCMs and RCMs). There is the well-founded hope that this increase in resolution represents a quantum jump in climate modeling, as it enables replacing the parameterizations of moist convection (thunderstorms and rain showers) by explicit treatments. Recent results suggest that the approach has a high potential to improving the simulation of the water cycle and extreme events, and to reducing uncertainties in climate change projections. Developing the approach on global scales for extended climate simulations requires a concerted effort. Key challenges include the exploitation of the next generation hardware architecture using accelerators (e.g. graphics processing units, GPUs), the development of new approaches to overcome the output avalanche of future climate models, and the consistent maintenance of models on a number of different compute architectures. Despite these challenges, it will be argued that km-resolution GCMs, which are able to run one simulated year per wall-clock day, might become available within the current decade.

References and acknowledgements:

Ban, N., et al., 2021: The first multi-model ensemble of regional climate simulations at kilometer-scale resolution, Part I: Evaluation of precipitation. Clim. Dyn., published online, https://doi.org/10.1007/s00382-021-05708-w

Fuhrer O., T. Chadha, T. Hoefler, G. Kwasniewski, X. Lapillonne, D. Leutwyler, D. Lüthi, C. Osuna, C. Schär, T.C. Schulthess, H. Vogt, 2018. Near-global climate simulation at 1 km resolution: establishing a performance baseline on 4,888 GPUs with COSMO 5.0. Geosci. Model Develop., 11, 1665-1681, https://doi.org/10.5194/gmd-11-1665-2018

Heim, C., L. Hentgen, N. Ban, C. Schär, 2021: Inter-model Variability in Convection-resolving Simulations of Subtropical Marine Low Clouds. J. Meteorol. Soc. Japan, in revision

Hentgen, L., N. Ban, J. Vergara-Temprado, and C. Schär, 2021: Improving the simulation of tropical clouds in explicit highresolution climate models, submitted

Leutwyler, D. and C. Schär, 2019: Barotropic Instability of a Cyclone Core at Kilometer-Scale Resolution. J. Adv. Modeling Earth Syst., 11, 3390-3402, https://doi.org/10.1029/2019MS001847

Schär, C., O. Fuhrer, A. Arteaga, N. Ban, C. Charpilloz, S. Di Girolamo, L. Hentgen, T. Hoefler, X. Lapillonne, D. Leutwyler, K. Osterried, D. Panosetti, S. Rüdisühli, L. Schlemmer, T. Schulthess, M. Sprenger, S. Ubbiali, H. Wernli, 2020: Kilometer-scale climate models: Prospects and challenges. Bull. American Meteorol. Soc., 101 (5), E567-E587, https://doi.org/10.1175/BAMS-D-18-0167.1

Schulthess, T.P., P. Bauer, O. Fuhrer, T. Hoefler, C. Schär, N. Wedi, 2019: Reflecting on the goal and baseline for exascale computing: a roadmap based on weather and climate simulations. IEEE Computing in Science and Engineering, 21 (1), 30-41, https://doi.org/10.1109/MCSE.2018.2888788

Ubbiali, S., C. Schär, L. Schlemmer, and T. C. Schulthess, 2021: A numerical analysis of six physics-dynamics coupling schemes for atmospheric models. J. Advances Modeling Earth Systems, in revision

Vergara-Temprado, J., N. Ban, and C. Schär, 2021: Extreme sub-hourly precipitation intensities scale close to the Clausius- Clapeyron rate over Europe. Geophys. Res. Letters, 48, e2020GL089506. https://doi.org/10.1029/2020GL089506

Zeman, C., N. Wedi, P. Dueben, N. Ban, and C. Schär, 2021: Model intercomparison of COSMO 5.0 and IFS 45r1 at kilometerscale grid spacing. Geosci. Model Dev., revised version, https://doi.org/10.5194/gmd-2021-31