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SUMMARY:Math + Explainable AI for weather and climate\, with a focus on ex
 tremes - Gianmarco Mengaldo -- NUS\, Singapore
DTSTART:20240612T110000Z
DTEND:20240612T120000Z
UID:TALK216457@talks.cam.ac.uk
CONTACT:Adriano Gualandi
DESCRIPTION:Earth’s climate is changing rapidly under the effect of glob
 al warming\, leading to more frequent and severe extreme weather events [1
 \,2]. These weather extremes\, in turn\, are exacting heavy socioeconomic 
 and environmental tolls [3]\, prompting an urgent need for better understa
 nding and predicting them. In this talk\, we present some recent results o
 btained for the tropical Indo-Pacific region\, using human-understandable 
 methods (or taking a human view)\, namely dynamical system theory. In part
 icular\, we show that changes in weather patterns are leading to more weat
 her extremes\, namely heatwaves and extreme precipitation. We then present
  the use of explainable AI tools (i.e.\, machine view) to investigate the 
 onset and precursors of these extremes. More specifically\, we try to brid
 ge existing human knowledge (human view) and “AI knowledge” (machine v
 iew) to better understand the behaviour and predictability of weather extr
 emes.
LOCATION:Wolfson Lecture Theatre
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