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BEGIN:VEVENT
DTSTAMP:20260421T090513Z
LOCATION:Plenary Room (Bldg. 6 - 001)
DTSTART;TZID=Europe/Stockholm:20260629T192800
DTEND;TZID=Europe/Stockholm:20260629T192900
UID:submissions.pasc-conference.org_PASC26_sess124_pos130@linklings.com
SUMMARY:Developing and Evaluating Performance-Portable Physical Parametriz
 ation Codes
DESCRIPTION:Gabriel Vollenweider and Stefano Ubbiali (ETH Zurich), Christi
 an Kühnlein (ECMWF), and Heini Wernli (ETH Zurich)\n\nWe present results a
 nd ongoing work in the porting of physical parametrizations to Python usin
 g the GridTools for Python (GT4Py) library. Our basis is the Fortran code 
 from the Integrated Forecasting System (IFS) which is run operationally at
  the European Centre for Medium-Range Weather Forecasts (ECMWF). Based on 
 the IFS code, the parametrizations for cloud microphysics (CLOUDSC) and ra
 diation (ecRad) have been rewritten as hardware-agnostic Python code. Usin
 g the different backends of the GT4Py library, the parametrizations can th
 en be run on both CPUs and GPUs. In the first part of the poster, we highl
 ight the performance results of the GT4Py codes for CLOUDSC and ecRad. Pre
 liminary results for the ECMWF land-surface scheme ecLand are also present
 ed. In the second part, we shed light on the computational challenges asso
 ciated with ecRad, both in terms of memory footprint and time-to-solution.
  In the context of real-case high-resolution weather forecasts with PMAP, 
 we present an evaluation of the model sensitivity to the calling frequency
  of the radiation parametrization.\n\n
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