BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20250822T115807Z
LOCATION:Room 5.0B15 & 16
DTSTART;TZID=Europe/Stockholm:20250616T143000
DTEND;TZID=Europe/Stockholm:20250616T163000
UID:submissions.pasc-conference.org_PASC25_sess128@linklings.com
SUMMARY:MS2B - Dynamic Adaptive Scalable Methods in Earth System Modeling
DESCRIPTION:To enhance the reliability and accuracy of weather and climate
  simulations, smaller scales and additional atmospheric processes have to 
 be taken into account. This increases the memory and computational demand,
  often exceeding the capabilities of modern supercomputers. Adaptive metho
 ds present a solution by dynamically focussing computational power in spec
 ific areas in time and space, thereby significantly improving detail while
  maintaining low runtime and resource consumption. In spite of their great
  potential, there are many challenges to face, such as a sophisticated sel
 ection of adaptation strategies and a careful technical consideration of m
 emory layouts and communication patterns to maintain good performance and 
 scalability even on hundreds of GPUs like present in upcoming supercompute
 rs. In this minisymposium, we will showcase advanced and highly efficient 
 numerical schemes covering mesh management, computational fluid dynamics w
 ith discontinuous Galerkin methods, and multiresolution-based objective er
 ror estimation. Applications in chemistry climate modeling, atmospheric tr
 ansport processes, and flooding simulation, will be presented and the ongo
 ing efforts and challenges in adopting such schemes will be discussed. The
  overarching goal is to reach exascale capability with efficient adaptive 
 algorithms.\n\nA High-Order GPU-Accelerated Dynamical Core Based on Discon
 tinous Galerkin Methods\n\nHigh-order discontinuous Galerkin (DG) methods 
 offer the same level of accuracy as traditional methods while using fewer 
 degrees of freedom. At the same time, their increase in arithmetic complex
 ity occurs locally, leading to efficient algorithms with good scalability 
 and throughput, even on modern ...\n\n\nBenedict Geihe (University of Colo
 gne) and Michael Schlottke-Lakemper (University of Augsburg)\n------------
 ---------\nThe t8code Library for Scalable Adaptive Mesh Refinement\n\nDyn
 amic adaptive mesh refinement has proven to be a successful tool in reduci
 ng the error of scientific simulations, while maintaining competitive runt
 imes. By refining the mesh locally in areas of interest, the computational
  power and memory consumption is reduced by orders of magnitude compared t
 o...\n\n\nLukas Dreyer (German Aerospace Center, Leibniz University Hannov
 er); Johannes Holke (German Aerospace Center); and Katrin Schönlein (Germa
 n Aerospace Center, University of Bonn)\n---------------------\nDynamic Ad
 aptive Meshes in ESM Applications: From Shallow-Water to Chemistry-Climate
  Models\n\nIn this contribution to the mini symposium on“Dynamic adaptive 
 scalable methods in Earth system modeling” we discuss the challenges and p
 otential benefits of adaptive meshes in Earth system models considering tw
 o applications. Firstly, MESSy, the Modular Earth Submodel System, is a so
 ftw...\n\n\nKerstin Hartung (DLR), Daniel Caviedes Voullieme (Forschungsze
 ntrum Jülich), and Patrick Jöckel (Deutsches Zentrum für Luft- und Raumfah
 rt e.V. (DLR))\n---------------------\nApplication of Adaptive Mesh Refine
 ment for the Compression of ERA5 Meteorological Reanalysis Data\n\nThe sto
 rage requirements for meteorological reanalysis data have increased signif
 icantly in recent years. To address the challenges of handling these large
  data sets, efficient compression techniques are required. In addition, th
 e error of the compressed data should be as small as possible. Although...
 \n\n\nFarahnaz Khosrawi (Forschungszentrum Jülich), Adrian Kolb (RWTH Aach
 en University), Lars Hoffmann (Forschungszentrum Jülich), and Siegfried Mü
 ller (RWTH Aachen University)\n\nDomain: Climate, Weather, and Earth Scien
 ces, Computational Methods and Applied Mathematics\n\nSession Chair: Farah
 naz Khosrawi (Forschungszentrum Jülich)
END:VEVENT
END:VCALENDAR
