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DTSTAMP:20260421T090514Z
LOCATION:Bldg. 6 - Room 002
DTSTART;TZID=Europe/Stockholm:20260629T140000
DTEND;TZID=Europe/Stockholm:20260629T143000
UID:submissions.pasc-conference.org_PASC26_sess102_msa124@linklings.com
SUMMARY:HPC Challenges and Prospects in Multi-Scale Geoscience Modeling an
 d Forecasting
DESCRIPTION:Louise Cordrie (CINECA)\n\nEarth dynamics are governed by high
 ly complex, multi-scale and often non-linear processes. Despite this compl
 exity, geosciences have achieved breakthroughs in measuring and modeling t
 he earth. Technological advances have boosted data acquisition through hig
 h-precision instrumental networks and sophisticated methodologies. HPC has
  accelerated progress in both deterministic modelling, with increasing mod
 el complexity and resolution, and probabilistic modelling, with greater pr
 ecision in uncertainty estimation. Simulating past and present dynamics al
 lows us to better understand the earth system and forecast its future evol
 ution. Initiatives like DT-GEO and ChEESE have paved the way for EuroHPC's
  DestinE, which seeks to develop a digital twin of the Earth. In this jour
 ney, codes have seen major acceleration through GPU porting, mixed-precisi
 on computing, optimized parallelization and performance portability framew
 orks for the latest exascale architectures. Workflows have been redesigned
  to handle heavier data loads, larger ensembles and deeper AI integration,
  while containerization and workflow management systems have improved repr
 oducibility and portability across heterogeneous HPC environments. This HP
 C ecosystem evolution has opened the door to urgent computing and real-tim
 e forecasting for critical decision-making, like earthquake early warnings
 , tsunami alerts, volcanic hazard assessment and many other geoscientific 
 predictions. While significant challenges remain, this rapidly evolving la
 ndscape opens new perspectives for earth sciences.\n\nDomain: Chemistry an
 d Materials, Climate, Weather, and Earth Sciences, Life Sciences, Computat
 ional Methods and Applied Mathematics\n\nSession Chairs: Fabio Affinito (C
 INECA), Nur Aiman Fadel (ETH Zurich / CSCS), and Filippo Spiga (NVIDIA Inc
 .)\n\n
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