We have published a summary of the first season-long simulation of the global atmosphere with 1.4 km grid-spacing. The simulation was based on the Integrated Forecast System (IFS) of ECMWF and performed on the Summit supercomputer at Oak Ridge National Laboratory.
N. P. Wedi, I. Polichtchouk, P. Dueben, V. G. Anantharaj, P. Bauer, S. Boussetta, P. Browne, W. Deconinck, W. Gaudin, I. Hadade, S. Hatfield, O. Iffrig, P. Lopez, P. Maciel, A. Mueller, S. Saarinen, I. Sandu, T. Quintino, F. Vitart: A baseline for global weather and climate simulations at 1.4 km resolution, accepted in JAMES, https://doi.org/10.1029/2020MS002192, 2020.

In a collaboration between the University of Oxford and ECMWF, we have investigated how different formats of 16-bit arithmetic could be used for weather and climate models. 16-bit arithmetic is getting increasingly important in modern High-Performance Computing as deep learning applications require high flop rates at low precision.  
M. Kloewer, P. D. Dueben, T. N. Palmer: Number formats, error mitigation and scope for 16-bit arithmetics in weather and climate modelling analysed with a shallow water model, accepted in JAMES, https://doi.org/10.1029/2020MS002246, 2020.

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