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SUMMARY:Better use of climate models with data science? - Paul Young
DTSTART:20200623T100000Z
DTEND:20200623T113000Z
UID:TALK149605@talks.cam.ac.uk
CONTACT:Jonathan Rosser
DESCRIPTION:Global climate models are complex tools that embody much of ou
 r understanding about the Earth system. Yet we know that they have their s
 hortcomings and that different models are better for different purposes. M
 oreover\, the complexity of these models often makes it hard to understand
  where efforts to improve the models should be targeted. In this talk\, I 
 will cover some of recent and ongoing projects where data science methods 
 have been used\, both to improve our understanding of complex model behavi
 our (with emulation) and to make more nuanced projections from multi-model
  ensembles (model weighting). \n\nComing from the atmospheric science doma
 in\, my talk will focus more on application rather than the detail of data
  science methods. However\, I will also discuss my experience of interdisc
 iplinary working\, including insight into what works within the large Lanc
 aster/UKCEH Data Science of the Natural Environment (DSNE) project.\n
LOCATION:https://ukri.zoom.us/j/92946956029
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