How close are we to global km-scale weather and climate simulations?

A recent study investigates how close we are towards achieving global km-scale weather and climate simulations. A baseline of what is achievable today is established using a fully refactored model code on Europe’s largest supercomputer Piz Daint at the Swiss National Supercomputing Centre CSCS in Lugano.

by Urs Beyerle

The best hope for reducing long-standing global weather and climate model biases is by increasing resolution to the kilometer scale. But how far are we away from achieving such simulations? A external pagerecent collaborative study of a team of MeteoSwiss, ETH and C2SM researchers, led by Dr. Oliver Fuhrer, has addressed this question by performing simulations using the non-hydrostatic regional climate model external pageCOSMO 5.0 for a near-global setup running on the full external pagePiz Daint supercomputer on 4’888 GPUs (graphics processing units). The model code has been refactored for performance portability across different hardware architectures. Results at a grid spacing of 1.9 km indicate a baseline of what is already achievable today on Europe’s largest supercomputer

Enlarged view: COSMO Clouds
Visualization of a baroclinic wave at day 10 of a simulation with 930 m grid spacing. White shading: volume rendering of cloud ice, cloud water, and graupel > 10E-3 g/kg. Blue shading: isosurface of rain and snow hydrometeors > 4 x 10E-2 g/kg. The white contours denote surface pressure. Image: Tarun Chadha (SIS/ETH)

Reference

Fuhrer, O., Chadha, T., Hoefler, T., Kwasniewski, G., Lapillonne, X., Leutwyler, D., Lüthi, D., Osuna, C., Schär, C., Schulthess, T. C., and Vogt, H.: Near-global climate simulation at 1 km resolution: establishing a performance baseline on 4888 GPUs with COSMO 5.0, Geosci. Model Dev., 11, 1665-1681, external pagehttps://doi.org/10.5194/gmd-11-1665-2018, 2018

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