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The role of clouds in the continuing decline of the Arctic sea ice. Irina Gorodetskaya , Bruno Tremblay and B. Liepert. Thanks to: J. Francis, K. Stramler, R. Cullather. AWI, Potsdam, 29 January 2008. arctic. Sea ice concentrations. Sea ice MAXIMUM: March. Sea ice MINIMUM: September. - PowerPoint PPT Presentation
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The role of clouds in the continuing decline of the Arctic sea ice
Irina Gorodetskaya, Bruno Tremblay and B. Liepert
AWI, Potsdam, 29 January 2008
Thanks to: J. Francis, K. Stramler, R. Cullather
arctic
Sea ice concentrations
Sea ice MAXIMUM: March
Sea ice MINIMUM: September
Data: HadSST1
Beaufort sea in winter
Beaufort sea
frost smoke in winter
Frost smoke from a freshly opened lead in winter
land fast ponding
ice ponding
September 2006
September 2005
Data Source: National Snow and Ice Data Center (NSIDC), Boulder, Colorado, USA
September 2007
x2007
Arctic Energy Budget
Figure by N. Untersteiner.
Ice-Albedo feedback
TOA albedo vs NH sea ice
Radiative effectiveness of ice wrt TOA albedo:
RE = albedo (100% ice conc) - albedo (0% ice conc)
surface albedo for ice
surface albedo for ocean
winter
summer
RE (TOA albedo) << RE (surface albedo) due to the presence of clouds over open oceans
RE (sfc alb) ~ 0.5
Gorodetskaya et al, Atm-Ocean 2006
Maps of sea ice and snow RE
Gorodetskaya et al, Atm-Ocean 2006
NH snow
SH sea iceNH sea ice
Reflected SW: total and due to sea ice
Gorodetskaya and Tremblay, 2008, for AGU monograph “Arctic sea ice decline:...”, Eds. DeWeaver, Bitz, Tremblay
Summer: cloud forcing offsets sea ice effects on the surface shortwave radiation
% estimated from Wang and Key, Science 2003
- Spring: large positive trend
Schweiger, GRL 2004
- Summer: no trend …
Cloud cover over the Arctic Ocean:
Belchansky et al. 2004
Change (days) from 1979-88 to 1989-2001
in melt onset:
in freeze onset:
in melt duration:
Arctic Oscillation recovered and sea ice did not…
Overland and Wang,GRL 2005
Total variance in the perennial ice edge attributable to anomalies in forcing parameters, 1980-2004
J. A. Francis and E Hunter
Seasonal cyclesover Canadian Arctic sector
TOVS data
SHEBA
(Zuidema et al.J Atm Sci 2005)
Arctic clouds contain liquid the entire year
(based on Intrieri et al.,JGR 2002; SHEBA data)
LIQUID ~ 10 ICE ~ 0.2
Mean optical depth in May:
Lidar depolarization ratios: phase detection
6 May 1998
(Intrieri et al., JGR 2002; Beaufort and Chukchi Seas)
Cloud phase and long-wave:
SPRING->SUMMER
May JuneApril
Daily radiative fluxes and albedo
Gorodetskaya, Tremblay, Liepert, to be submitted to GRL
Daily downwelling LW and sfc temperature
Gorodetskaya, Tremblay, Liepert, to be submitted to GRL
Zoom on the melt onset:
Gorodetskaya, Tremblay, Liepert, to be submitted to GRL
Cloud base temperature
April and mid MayMarch and early MayWinter
Summer late August-early September
Gorodetskaya, Tremblay, Liepert, to be submitted to GRL
Downwelling longwave flux depending on liquid water path and cloud base temperature
CBT
= 1 - exp(-oLWP)
FLW = Te4
(Stephens, 1978)
Te=CBT
Gorodetskaya, Tremblay, Liepert, to be submitted to GRL
Changes between seasonal modes
CBT,oC
LWP,
g m-2
F(CBT),
W m-2
F(LWP),
W m-2
Winter -23 5
early spring -19 24 14 +100
mid-May -10 21 +34 0
Summer -1 45 +42 +10
September -3 61 -9 0
Conclusions from SHEBA study
• The timing of the melt onset is determined by the increase in downwelling LW rather than decreased surface albedo
• Major contribution to the increase in the downwelling LW flux comes from the increase in the cloud base temperatures at the end of spring andthe fact that clouds contain large amount of liquid
• Longer melt period in the Arctic Pacific sector in the beginning of the 21st century compared to the 1980-s is similarly associated with larger downwelling LW flux at the end of summer/early fall due to increased cloudiness and warmer cloud temperatures
Sea ice thickness from NCAR CCSM3
21st century run
Holland, Bitz, Tremblay, GRL 2006
Absorbed SW andocean heat transport
CCSM3: temperature, clouds, and radiative fluxes in the 21st century
Gorodetskaya and Tremblay, 2008, for AGU monograph “Arctic sea ice decline:...”, Eds. DeWeaver, Bitz, Tremblay
Atmospheric changesresponsible for increased
downwelling LW
Gorodetskaya and Tremblay, 2008, for AGU monograph “Arctic sea ice decline:...”, Eds. DeWeaver, Bitz, Tremblay
Seasonal changesin radiative fluxes
albedo
clouds
LW down
SW down
Gorodetskaya et al. 2008, J. Climate
Arctic Energy Budget
Figure by N. Untersteiner.
ConclusionsClouds are thought to provide the “umbrella” protectingthe Arctic Ocean surface from increased solar fluxabsorption due to the sea ice melting
However...
• Sea ice has a robust effect on planetary albedo despite the mitigating effect of clouds
• Clouds actively contribute to the present sea ice decline by increasing downwelling longwave radiation
• Increase in cloud SW cooling is limited by LWP
• Future increase in atmospheric and thus cloud base temperatures will allow cloud LW warming to increase even more
1-layer sea ice thermodynamic model: ice thickness and concentration
Predicts: Ts, Ti, h, SIC
Forced with: CCSM3 radiation, atm T, ocean heat flux
simulated ice thicknessfor standard and perturbed forcing
simulated ice albedo
ice concentration
increased LW down
smaller sea ice area
increased SW and LW absorbed by the ocean
increased ice bottom melt
Conclusions
• NCAR CCSM3 model predicts seasonally ice-free Arctic by 2100 together with more cloud formation, more liquid water in clouds, increased cloud LW warming and cloud SW cooling
• Experiments with a sea ice thermodynamic model show that increased LW cloud forcing can explain nearly 40% of the sea ice thinning in the NCAR CCSM3 model during 21st century
• Strong SW cloud cooling during summer compensates but does not cancel the effect of increased LW forcing
• The ice albedo feedback is initiated by the increased LW flux, while the oceanic heat flux is fixed at 2000-2010 level
Thus we should not rely on cloudsto prevent disappearance of the Arctic sea ice …
Temperature profile within the ice
SHEBA expedition:Surface Heat Budget of the Arctic Ocean
October 1997-October 1998
Changes annual mean sea ice extent at the end of the 21st century
Arzel, Fichefet, Goosse, Ocean Modelling 2006
paleoclimate theories
M. Milankovitch, 1941: variations of the astronomical elements and the reflective power of the polar caps => strong oscillations of summer insolation => glacial cycles
M. Budyko, 1969: small variations of atmospheric transparency => quaternary glaciations
H. Gildor and E. Tziperman, 2000: sea ice is off => glaciers grow; sea ice is on => glaciers withdraw
Dansgaard et al, 1989, Alley et al. 1993, Broecker 2000, Denton et al. 2005:displacements of sea ice edge + rapid atmospheric circulation changes=> Dansgaard-Oeschger events
modern warming
Holland and Bitz 2003: the ice-albedo feedback is one of the major factors accelerating melting of the Arctic sea ice in response to the increase in the globally averaged temperature
Groisman et al, 1994: spring snow retreat => enhances spring air temperature increase
Hall, 2002: surface albedo feedback accounts for ~1/2 the high-latitude
response to CO2 doubling
Winton, 2005: Surface albedo feedback is a contributing, but not a dominating, factor in the coupled-models simulated Arctic amplification
=> Sea ice and atmosphere work together in changingthe surface and TOA net shortwave flux
Sea level pressure
TOVS data