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DTSTART;TZID=Europe/Stockholm:20240604T094600
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UID:submissions.pasc-conference.org_PASC24_sess158_pos150@linklings.com
SUMMARY:P29 - ICON-HAM: Modelling Aerosol-Cloud Interactions at High Resol
 ution on GPUs
DESCRIPTION:Poster\n\nMikael Stellio (ETH Zurich, MeteoSwiss); Sylvaine Fe
 rrachat (ETH Zurich); Xavier Lapillonne (MeteoSwiss); and Ulrike Lohmann (
 ETH Zurich)\n\nAtmospheric aerosols are a key component to understand the 
 Earth’s climate, as they have a strong influence on clouds, which in turn 
 strongly impact the global radiative budget. The ICON-HAM model couples IC
 ON (Zängl et al., 2015) to the aerosol module HAM (Tegen et al., 2019). Th
 e aerosols are represented by seven log-normal distributions, where both t
 heir mass mixing ratio and number concentration are prognostically compute
 d (Stier et al., 2005), requiring several tens of transported tracers. The
  cloud microphysics is implemented in a two-moment cloud scheme (Neubauer 
 et al., 2019), which provides a dynamical link between the aerosols and th
 eir effects on clouds and precipitation. To reach cloud-resolving resoluti
 ons, the full HAM code was ported to GPUs using OpenACC directives. As exp
 ected, the new GPU-enabled ICON-HAM provided promising results in a first 
 test setup, using 40 km horizontal resolution globally and 90 vertical lev
 els over several model-months. However, while a substantial speedup was ac
 hieved (more than a factor 2), more complex performance issues likely stem
 ming from the large number of tracers used in ICON-HAM exist, limiting opt
 imal usage of the GPU architecture. To tackle these issues, we envision to
  extend the OpenACC parallelization to the tracers dimension.\n\nSession C
 hair: Iva Kavcic (Met Office)
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