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DTSTAMP:20260625T133338Z
LOCATION:Bldg. 8 - Entrance Hall
DTSTART;TZID=Europe/Stockholm:20260630T173000
DTEND;TZID=Europe/Stockholm:20260630T194500
UID:submissions.pasc-conference.org_PASC26_sess135_pos122@linklings.com
SUMMARY:P30 - The Portable Model for Multi-Scale Atmospheric Prediction (P
 MAP): Towards Sub-Kilometer Scale and Large-Eddy Simulation of Real Weathe
 r
DESCRIPTION:Lukas Papritz and Nicolai Krieger (ETH Zurich); Christian Kühn
 lein (ECMWF); Till Ehrengruber (ETH Zurich / CSCS); Sara Faghih-Naini (ECM
 WF); and Stefano Ubbiali, Gabriel Vollenweider, Heini Wernli, and Jan Zibe
 ll (ETH Zurich)\n\nThe Portable Model for multi-scale Atmospheric Predicti
 on (PMAP) is an advanced high-resolution numerical model. Written entirely
  in Python, it leverages the GT4Py domain-specific language to achieve hig
 h performance and portability – running straightforwardly on laptops and G
 PU-accelerated HPC systems alike. The systematic separation of concerns be
 tween domain science and performance engineering provides new avenues for 
 model development, setup, and refinement. Here, we highlight PMAP’s streng
 ths as a model framework to refine numerical algorithms, physical paramete
 rizations, and diagnostics, as well as to optimize computational performan
 ce to enable efficient sub-kilometer-scale and large-eddy simulation of re
 al weather. \n\nFirst, we demonstrate competitive performance of the model
  with respect to time-to-solution and weak scalability, as measured on the
  Alps infrastructure for a well-established benchmark. Second, we illustra
 te how the Python-based model formulation facilitates evaluating and impro
 ving numerical aspects of the model, exemplified here in terms of a tracer
  transport experiment in complex, exceptionally steep terrain. Third, we s
 howcase PMAP’s capabilities for simulating extreme weather events at the h
 ectometer-scale with the example of hurricane Melissa. The results not onl
 y show a much more realistic intensification of the storm, as compared to 
 an established kilometer-scale model, but they also reveal exceptional det
 ail in extreme winds and precipitation.\n\n
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