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Camille Li, Kerim Nisancioglu, Trond Dokken, Øyvind Lie Bjerknes Centre for Climate Research David Battisti University of Washington Lev Tarasov Memorial.

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Presentation on theme: "Camille Li, Kerim Nisancioglu, Trond Dokken, Øyvind Lie Bjerknes Centre for Climate Research David Battisti University of Washington Lev Tarasov Memorial."— Presentation transcript:

1 Camille Li, Kerim Nisancioglu, Trond Dokken, Øyvind Lie Bjerknes Centre for Climate Research David Battisti University of Washington Lev Tarasov Memorial University OUTLINE 1. Background: D-O events 2. A conceptual model 3. Clues from climate models A conceptual model for D-O events

2 x Dansgaard-Oeschger events ice  18 O (per mil) ky before present oxygen isotope record from ice core warm cold

3 ice  18 O (per mil) ky before present oxygen isotope record from ice core warm cold Dansgaard-Oeschger events x -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 NADW (Sv) FW (Sv) Greenland T (C) What can we learn from models? Knutti et al. 2004 Nature EMIC earth model of intermediate complexity e.g. ECBILT-CLIO

7 EMIC + ice sheet model + AGCM (atmosphere & land) What can we learn from models?

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) KH Nisancioglu -3 km -2 km -1 km -4 km 40S20S020N40N60N80N60S80S latitude 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 contours: zonal wind 200mb (10m/s) colours: transient heat flux 850mb (Km/s) warm “interstadial” state: weak jet, stronger storms cold “stadial” state: strong jet, weaker storms jets & storminess (AOGCM/AGCM)

15 Summary

16 artwork courtesy of D. Battisti see also: Seager & Battisti 2006 A final picture cold “interstadial” state strong, steady jet warm “stadial” state weak, wobbly jet

17 ice  18 O (per mil) ky before present oxygen isotope record from ice core warm cold x Dansgaard-Oeschger events Rahmstorf 2003


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