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SUMMARY:ML for Medium-Range Weather Forecasting - Cristiana Diaconu\, Alia
 ksandra Shysheya and Andrew McDonald\, University of Cambridge
DTSTART:20250312T110000Z
DTEND:20250312T123000Z
UID:TALK229309@talks.cam.ac.uk
CONTACT:120952
DESCRIPTION:In this week’s reading group\, we will discuss recent advanc
 es in medium-range weather prediction and the key challenges that remain.\
 nWe will start with an overview of the medium-range weather modeling pipel
 ine and the types of data available for training large-scale AI systems. N
 ext\, we will explore some of the critical considerations in designing suc
 h systems\, including:\nThe trade-offs between deterministic and probabili
 stic approaches\,\nStrategies for integrating observational data into the 
 modeling pipeline\, and\nThe potential benefits of leveraging vast dataset
 s governed by similar dynamical principles to train a foundation model for
  the atmosphere\, rather than a weather-specific model.\nWe will conclude 
 by highlighting some of the most exciting directions for future research.
LOCATION:Cambridge University Engineering Department\, CBL Seminar room BE
 4-38.
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