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SUMMARY:Assessing teleconnection pathways with causal inference techniques
  - Marlene Kretschmer\, University of Reading\, Department of Meteorology
DTSTART:20200211T120000Z
DTEND:20200211T131500Z
UID:TALK137263@talks.cam.ac.uk
CONTACT:Jonathan Rosser
DESCRIPTION:Chair: Emily Shuckburgh\nAbstract: Teleconnections refer to re
 current large-scale pressure patterns\, affecting e.g. the jet stream posi
 tion\, storm track intensity or Monsoon strength and thus have a strong im
 pact on our weather. However\, extracting the relevant teleconnection path
 ways from observation or model data remains challenging. One major issue i
 s separating the signal from the noise given large internal atmospheric va
 riability\, which is further compounded by varying spatio-temporal dimensi
 ons and competing effects of different processes. Here\, I discuss how nov
 el data-driven causal methods beyond the commonly adopted correlation tech
 niques can overcome some of these limitations. I give an overview of causa
 l inference frameworks and identify application cases common in climate sc
 ience.
LOCATION:Bullard Lab\, Seminar Room
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