Camille Li, Kerim Nisancioglu, Trond Dokken, - PowerPoint PPT Presentation

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Camille Li, Kerim Nisancioglu, Trond Dokken,

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cold 'stadial' state: strong jet, weaker storms. jets & storminess (AOGCM/AGCM) Summary ... warm 'stadial' state. weak, wobbly jet. ice 18O (per mil) ky before present ... – PowerPoint PPT presentation

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Title: Camille Li, Kerim Nisancioglu, Trond Dokken,


1
Camille Li, Kerim Nisancioglu, Trond Dokken,
Øyvind Lie Bjerknes Centre for Climate
ResearchDavid Battisti University of
WashingtonLev TarasovMemorial
UniversityOUTLINE1. Background D-O
events2. A conceptual model3. Clues from
climate models
A conceptual model for D-O events
2
Dansgaard-Oeschger events
3
Dansgaard-Oeschger events
  • abrupt warming events in Greenland
  • large amplitude in Greenland (7-12C)
  • climate signal throughout the Northern Hemisphere
  • millennial scale timing
  • leading hypothesis ocean thermohaline
    circulation

4
What can we learn from models?
AOGCM atmosphere-ocean general circulation model
5
What can we learn from models?
EMIC earth model of intermediate complexity
6
What can we learn from models?
EMIC earth model of intermediate complexity e.g.
ECBILT-CLIO
Knutti et al. 2004 Nature
7
What can we learn from models?
EMIC ice sheet model AGCM (atmosphere land)
8
Building a conceptual model
TM Dokken
9
Building a conceptual model
TM Dokken
10
Clues from climate models
ocean
11
Clues from climate models
subsurface ocean warming (EMIC)
Atlantic Ocean temperature change after
freshening of Nordic Seas (C)
12
Clues from climate models
atmosphere
13
Clues from climate models
sea ice Greenland temperature (AGCM)
Li al. 2005 GRL
14
Clues from climate models
jets storminess (AOGCM/AGCM)
15
Summary
16
A final picture
cold interstadial state strong, steady jet
warm stadial state weak, wobbly jet
artwork courtesy of D. Battisti see also Seager
Battisti 2006
17
Dansgaard-Oeschger events
Rahmstorf 2003
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