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UID:24@ccr.nelson.wisc.edu
DTSTART;TZID=America/Chicago:20250211T130000
DTEND;TZID=America/Chicago:20250211T140000
DTSTAMP:20250124T201249Z
URL:https://ccr.nelson.wisc.edu/events/identifying-new-sources-of-subseaso
 nal-predictability/
SUMMARY:Identifying New Sources of Subseasonal Predictability
DESCRIPTION:Speaker:  Paul Buchmann\, Wisconsin State Climatology Office\n
 \nSubseasonal forecasts predict one- or two-week mean temperature patterns
  up to 6 weeks in advance. These tend to have relatively low skill\, but a
 ccurate forecasts at this time scale can be beneficial for public health\,
  agriculture\, and water management. To make subseasonal forecasts\, we of
 ten rely heavily on climate mechanisms that are themselves predictable and
  that are known to impact temperature. These sources of predictability inc
 lude ENSO\, the MJO\, and the PNA. Looking at the historical side of these
  sources of predictability\, all of them were first discovered and then la
 ter their impact on predictability was established. This leaves us with th
 e question – have we missed a source of predictability? Something that m
 ay not be as obvious as ENSO or the MJO\, but that nevertheless impacts su
 bseasonal temperatures? This talk will summarize recent research and focus
  on identifying predictability in US temperatures during the summer.\n\nVi
 ew the livestream
CATEGORIES:CPEP
LOCATION:811 Atmospheric\, Oceanic and Space Sciences\, 1225 W. Dayton Stre
 et\, Madison\, United States
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1225 W. Dayton Street\, Mad
 ison\, United States;X-APPLE-RADIUS=100;X-TITLE=811 Atmospheric\, Oceanic 
 and Space Sciences:geo:0,0
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TZID:America/Chicago
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DTSTART:20241103T010000
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