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DTSTAMP:20260724T151408Z
LOCATION:Bldg. 6 - 102
DTSTART;TZID=Europe/Stockholm:20260701T113000
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UID:submissions.pasc-conference.org_PASC26_sess175@linklings.com
SUMMARY:AP2D - ACM Papers: Earth System Modeling
DESCRIPTION:Access the recording\n\nPhysics-Aware Multi-Task Learning for 
 Atmospheric Turbulence Parameterization: Auxiliary Tasks versus Architectu
 ral Conditioning\n\nDynamic subgrid-scale (SGS) turbulence parameterizatio
 ns in Large Eddy Simulation (LES) achieve superior physical fidelity but i
 mpose 2–4× computational overhead compared to static schemes, creating a c
 ritical bottleneck for high-resolution atmospheric modeling on HPC systems
 . Neural network b...\n\n\nSambit Kumar Panda, Todd R. Jones, and Muhammad
  Shahzad (University of Reading); Bryan N. Lawrence (University of Reading
 , National Centre for Atmospheric Science); and Anna-Louise Ellis (Met Off
 ice)\n---------------------\nStatistical Equivalence of AI Emulators and E
 arth System Models: A Large Ensemble Study with Ultra-Low-Resolution E3SM\
 n\nWe evaluate the statistical fidelity of a very large ensemble of an AI/
 ML emulator, FourCastNetv1, by evaluating it against a similarly large ens
 emble of an ultra–low–resolution configuration of E3SMv3 for forecasts up 
 to 10-day lead time. FourCastNetv1 is trained on this E3SMv3 configur...\n
 \n\nSalil Mahajan, Michael Kelleher, and Ming Fan (Oak Ridge National Labo
 ratory)\n---------------------\nAn Algorithm for Feature Extraction from L
 arge Scale Meteorological Data Stores on Irregular Grids\n\nIn recent year
 s, the volume of meteorological data has grown rapidly due to higher model
  resolutions and more frequent data output. To handle this increase effici
 ently, the European Centre for Medium-Range Weather Forecasts has develope
 d new ways to extract data without accessing full meteorological...\n\n\nM
 athilde Leuridan (ECMWF, University of Cologne); James Hawkes and Tiago Qu
 intino (ECMWF); and Martin Schultz (Forschungszentrum Jülich, University o
 f Cologne)\n\nDomain: Climate, Weather, and Earth Sciences\n\nSession Chai
 r: Thorsten Kurth (NVIDIA Inc.)
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