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SUMMARY:Polar Oceans Seminar Talk - Giangiacomo Navarra - Giangiacomo Nava
 rra - Princeton
DTSTART:20260204T140000Z
DTEND:20260204T150000Z
UID:TALK241666@talks.cam.ac.uk
CONTACT:Katherine Turner
DESCRIPTION:Machine learning (ML) methods are increasingly transforming th
 e analysis and modeling of ocean biogeochemistry by enabling the extractio
 n of complex\, nonlinear relationships from large and heterogeneous datase
 ts. In this talk\, I will present recent applications of ML to improve the
  reconstruction\, prediction\, and interpretation of key biogeochemical va
 riables\, specifically primary production and flux of oraganic carbon. I w
 ill highlight how data-driven approaches can complement traditional proces
 s-based models\, enhance spatial and temporal coverage of observations\, a
 nd provide new insights into the physical and biological drivers of ocean 
 biogeochemical variability. Finally\, I will discuss current challenges an
 d future opportunities for integrating ML with mechanistic understanding t
 o advance ocean biogeochemical modeling.
LOCATION:BAS Seminar Room 1
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