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DTSTART;TZID=Europe/Stockholm:20230628T110000
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UID:submissions.pasc-conference.org_PASC23_sess165@linklings.com
SUMMARY:MS5C - Towards Weather and Climate Digital Twins at the Example of
  the ICON and IFS-FESOM Models
DESCRIPTION:Minisymposium\n\nWith modern HPC machines becoming increasingl
 y diverse in architecture and vendors, the numerical and climate modeling 
 community faces numerous challenges. However, these new systems also offer
  exiting possibilities by allowing for the first time to do climate simula
 tions on km-scales, which enables the direct simulation of important proce
 sses like storms and ocean eddies. The accompanying code-complexity increa
 se needs to be tackled to scale the code-development process. Several nati
 onal and international projects are working on the modernization of climat
 e models such as the ICON and IFS-FESOM models. As a first step directive-
 based approaches are applied to enable the models to be run on current pre
 -exascale systems, which allows us to present performance results on the p
 re-exascale systems LUMI and JUWELS Booster. To pave the way for the futur
 e and towards weather and climate digital twins, it is important to mitiga
 te vendor lock-in and favor (performance) portability and scalable develop
 ment. Therefore, we also present multiple aspects of the modernization of 
 complex, critical code-bases at the example of climate simulations. As suc
 h, we believe that this Mini-Symposium will be useful not only to the clim
 ate community, but to many other simulation and application codes which al
 l face similar challenges.\n\nModernizing the ICON Codebase through Langua
 ge-Interoperable Memory Management and a Consistent Test\n\nOver the past 
 decades, processor performance has grown dramatically. Memory bandwidth an
 d latency have become critical factors in solving HPC problems. Most HPC m
 achines now use accelerators such as GPUs with independent memory. In addi
 tion, CPUs now feature many cores and special fast memory, like ...\n\n\nC
 laudia Frauen, Ralf Müller, and Jörg Behrens (German Climate Computing Cen
 tre); Florian Prill (DWD); Christopher Bignamini and Will Sawyer (ETH Zuri
 ch / CSCS); Xavier Lapillonne (MeteoSwiss); Sergey Kosukhin, Luis Kornblue
 h, and Daniel Klocke (Max Planck Institute for Meteorology); Claudius Hole
 ksa, Terry Cojean, and Yen-Chen Chen (Karlsruhe Institute of Technology); 
 and Hartwig Anzt (University of Tennessee, Karlsruhe Institute of Technolo
 gy)\n---------------------\nICON on the Way to Exascale - Current Status a
 nd Steps towards Scalable Development\n\nThe development of the weather an
 d climate model ICON started more than 20 years ago. The model has a large
  monolithic code base mostly written in Fortran. By using OpenACC directiv
 es the atmospheric component of the model has been enabled to run successf
 ully on (NVIDIA) GPU-based HPC systems like P...\n\n\nClaudia Frauen (Germ
 an Climate Computing Centre)\n---------------------\nImplementing GPU Supp
 ort for Unstructured Ocean Model FESOM2 and Coupled IFS/FESOM2 Model\n\nCl
 imate configuration being used employs a sequential coupling approach wher
 e the FESOM and IFS models are run as a single executable and share the sa
 me infrastructure consisting of MPI+OpenMP+OpenACC. IFS model is already b
 enefiting from GPU acceleration for performing the spectral transform, whi
 le...\n\n\nWilton Jaciel Loch and Enrico Degregori (German Climate Computi
 ng Centre) and Dmitry Sidorenko, Nikolay Koldunov, Patrick Scholz, Vera Fo
 fonova, Sergey Danilov, and Thomas Jung (AWI)\n---------------------\nGlob
 al Storm Resolving Simulations in a Python Framework - Progress and Challe
 nges\n\nThe modern exascale computing systems have given the climate and w
 eather modeling community an opportunity for a step change in the simulati
 on capabilities. One expects a resolution high enough to resolve the key a
 tmospheric processes provided the machine is properly utilized. However, t
 his is a non...\n\n\nAnurag Dipankar (ETH Zurich) and Mauro Bianco (ETH Zu
 rich / CSCS)\n\nDomain: Climate, Weather and Earth Sciences\n\nSession Cha
 ir: Xavier Lapillonne (MeteoSwiss)
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