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CATEGORIES:Conferences/Seminars/Lectures
DESCRIPTION:Distinguished Seminar Series in Computational Science & Enginee
 ring\nThursday October 12th │12 PM ET\nMarlar Lounge (37-252) or Zoom Webin
 ar\n\nA New Generation of Global Climate Models Augmented by AI\nLaure Zann
 a\nProfessor of Mathematics & Atmosphere/Ocean Science\nNew York University
 \n\nAbstract:\nClimate simulations have long been invaluable in understandi
 ng and predicting global and regional climate change. Their fidelity has be
 en limited by computing capabilities leading to inaccurate parametrizations
  of key unresolved processes such as convection\, cloud\, or mixing\, and\,
  consequently\, to biases in large-scale phenomena such as temperature\, ra
 infall\, and sea level. These unresolved processes have posed a significant
  hurdle in enhancing climate simulations and their predictions.\n\nA promis
 ing paradigm shift is now underway\, fueled by the explosion of climate dat
 a and the formidable potential of machine learning (ML) algorithms to param
 etrize subgrid processes in climate models.  Here\, we will present a suite
  of global simulations in which machine-learning parameterizations replace\
 , or augment\, ad-hoc representations of ocean and sea-ice subgrid processe
 s. The simulations are performed with the NOAA-Geophysical Fluid Dynamics L
 aboratory’s MOM6-based global climate models OM4 and CM4. We will discuss h
 ow the data-driven parameterizations of ocean mixing and sea-ice affect lar
 ge-scale biases and variability of relevant climate fields\, and associated
  mechanisms. This new generation of data-informed simulations has the poten
 tial to provide more reliable climate projections at global and local scale
 s. This is collaborative work as part of M2LInES:https://m2lines.github.io/
 \n\nBio:\nLaure Zanna is a Professor in Mathematics & Atmosphere/Ocean Scie
 nce at the Courant Institute\, New York University. Prior to NYU\, she was 
 a faculty member at the University of Oxford until 2019\, and obtained her 
 PhD in 2009 in Climate Dynamics from Harvard University. Her research focus
 es on the role of the ocean in climate\, in particular ocean heat uptake\, 
 sea level rise\, turbulence\, climate modeling\, and uncertainty quantifica
 tion. She is the lead principal investigator and scientific director of M²L
 InES – an international collaboration to improve climate models with scient
 ific machine learning support by Schmidt Futures and the Geoscience Directo
 r of the NSF Science and Technology Center LEAP.   She received the 2020 Ni
 cholas P. Fofonoff Award from the American Meteorological Society “For exce
 ptional creativity in the development and application of new concepts in oc
 ean and climate dynamics”.
DTEND:20231012T170000Z
DTSTAMP:20260308T134354Z
DTSTART:20231012T160000Z
LOCATION:Marlar Lounge (37-252) 
SEQUENCE:0
SUMMARY:Distinguished Seminar Series in Computational Science and Engineeri
 ng
UID:tag:localist.com\,2008:EventInstance_44447258687905
URL:https://calendar.mit.edu/event/distinguished_seminar_series_in_computat
 ional_science_and_engineering_9300
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