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DTSTART:19700308T020000
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BEGIN:VEVENT
UID:91835890-b8a2-4955-aee7-bfebade362a6@findlocal.community
DTSTAMP:20261026T183132Z
DTSTART;TZID=America/Detroit:20261026T120000
DTEND;TZID=America/Detroit:20261026T140000
SUMMARY:Applied Physics | Frontiers for the Dynamical Cores of Weather an
 d Climate Models
DESCRIPTION:Atmospheric dynamical cores numerically represent the resolve
 d fluid motions in weather and climate models and strongly influence the
 ir accuracy\, stability\, conservation\, computational efficiency\, and 
 physical fidelity. Using the 2026 FIFA World Cup as an organizing analog
 y\, I will survey the international landscape of dynamical-core developm
 ent and the strategic choices underlying atmospheric general circulation
  models. These choices include governing equation sets\, computational g
 rids and staggering\, vertical coordinates\, numerical methods\, physics
 –dynamics coupling\, dissipation\, filtering\, and parameter tuning. M
 odel intercomparison projects and hierarchical test suites serve as refe
 rees\, exposing numerical artifacts\, grid imprinting\, excessive or ins
 ufficient diffusion\, and divergent representations of precipitation and
  stratospheric circulation. Results demonstrate that seemingly technical
  design and tuning decisions can substantially alter simulated weather s
 ystems and large-scale circulation. I will also examine emerging frontie
 rs: global convection-allowing simulations at 1–3 km resolution\, adap
 tive mesh refinement\, nonhydrostatic deep-atmosphere equation sets\, an
 d potentially non-spherical Earth formulations. These advances require s
 calable\, hardware-agnostic software that exploits graphics processing u
 nits and emerging programming frameworks such as C++/Kokkos\, Python\, a
 nd JAX. Machine-learning emulators\, artificial-intelligence-assisted de
 velopment\, efficient data strategies\, and models carrying hundreds of 
 tracers offer additional opportunities. Together\, these developments po
 int toward more accurate\, physically complete\, computationally portabl
 e\, and systematically evaluated dynamical cores for next-generation wea
 ther\, climate\, and whole-atmosphere prediction. Bio: Christiane Jablon
 owski is a Professor in the Department of Climate and Space Sciences and
  Engineering at the University of Michigan. She also worked at the Natio
 nal Center for Atmospheric Research (NCAR)\, NOAA's Geophysical Fluid Dy
 namics Laboratory\, and the European Centre for Medium-Range Weather For
 ecasts (ECMWF). Dr. Jablonowski’s research lies at the interface betwe
 en weather and climate modeling\, scientific computing\, and data scienc
 e. Her research portfolio includes atmospheric fluid dynamics\, weather 
 and climate modeling including high-resolution modeling\, climate model 
 hierarchies\, scientific computing\, and machine learning techniques for
  the climate sciences. She works with the weather and climate models fro
 m NCAR\, NOAA\, and the Department of Energy (DoE). Dr. Jablonowski is t
 he recipient of a DoE Early Career Award and the Presidential Early Care
 er Award for Scientists and Engineers (PECASE). She is a co-lead of NOAA
 's Convection-Allowing Model for short-range weather forecasts with the 
 Unified Forecast System (UFS) and serves on the Steering Committee for N
 CAR’s Community Earth System Model (CESM).\n\nMore info: https://event
 s.umich.edu/event/153841\n\nhttps://findlocal.community/event/91835890-b
 8a2-4955-aee7-bfebade362a6
LOCATION:The University of Michigan\, Ann Arbor\, MI
URL:https://findlocal.community/event/91835890-b8a2-4955-aee7-bfebade362a
 6
STATUS:CONFIRMED
SEQUENCE:0
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