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simulations as probability distributions of the sea ice cover-
age that are possible for the given forcing. This is consistent
with the results of Holland et al. [this volume], who found
that the frequency of sea ice extent variance changes with
the mean state. The identified minimum events indicate the
susceptibility of the Arctic to seasonally ice-free conditions
under postindustrial anthropogenic forcing. Notwithstanding
known climate model deficiencies, the control simulation in
this context suggests that Arctic sea ice extent anomalies of
the magnitude observed in the September 2007 minimum
are plausible under 1990 forcing conditions. It is reasonable
then to conclude that more severe anomalies are achieva-
ble with more acute forcing conditions that are in excess of
those of 1990.
Results from the Larsen-93 expedition, Geophys. Res. Lett. , 22 ,
1061-1064.
chapman, W. l., and J. e. Walsh (2007), Simulations of Arctic
temperature and pressure by global coupled models, J. Clim. ,
20 , 609-632.
collins, W. D., et al. (2006a), The community climate System
Model version 3 (CCSM3), J. Clim. , 19 , 2122-2143.
collins, W. D., P. J. rasch, B. A. Boville, J. J. Hack, J. r. mccaa,
D. l. Williamson, B. P. Briegleb, c. m. Bitz, S.-J. lin, and m.
Zhang (2006b), The formulation and atmospheric simulation of
the Community Atmosphere Model version 3 (CAM3), J. Clim. ,
19 , 2144-2161.
Delworth, T. l., et al. (2006), GFDl's cm2 global coupled cli-
mate models. Part I: Formulation and simulation characteristics,
J. Clim. , 19 , 643-674.
Deser, c. (2000), On the teleconnectivity of the “Arctic Oscilla-
tion,” Geophys. Res. Lett. , 27 , 779-782.
DeWeaver, e., and c. m. Bitz (2006), Atmospheric circulation and
its effect on Arctic sea ice in CCSM3 simulations at medium and
high resolution, J. Clim. , 19 , 2415-2436.
Dickson, r. r., T. J. Osborn, J. W. Hurrell, J. meincke, J. Blind-
heim, B. Adlandsvik, T. vinje, G. Alekseev, and W. maslowski
(2000), The Arctic Ocean response to the North Atlantic Oscilla-
tion, J. Clim. , 13 , 2671-2696.
Dyke, A. S., J. england, e. reimnitz, and H. Jetté (1997), changes
in driftwood delivery to the canadian Arctic Archipelago: The
hypothesis of postglacial oscillations of the transpolar drift, Arc-
tic , 50 , 1-16.
Fisher, D., A. Dyke, r. Koerner, J. Bourgeois, c. Kinnard, c.
Zdanowicz, A. de vernal, c. Hillaire-marcel, J. Savelle, A.
Rochon (2006), Natural variability of Arctic sea ice over the
Holocene, Eos Trans. AGU , 87 (28), 273.
Francis, J. A., e. Hunter, J. r. Key, and X. Wang (2005), clues
to variability in Arctic minimum sea ice extent, Geophys. Res.
Lett. , 32 , l21501, doi:10.1029/2005Gl024376.
Gerdes, r., and c. Köberle (2007), comparison of Arctic sea ice
thickness variability in IPcc climate of the 20th century ex-
periments and in ocean-sea ice hindcasts, J. Geophys. Res. , 112 ,
c04S13, doi:10.1029/2006Jc003616.
Gorodetskaya, I., and l.-B. Tremblay (2008), Arctic cloud prop-
erties and radiative forcing from observations and their role in
sea ice predicted by the NCAR CCSM3 model during the 21st
century, this volume.
Gorodetskaya, I. v., l.-B. Tremblay, B. liepert, m. A. cane, and
r. I. cullather (2008), The influence of cloud and surface prop-
erties on the Arctic Ocean shortwave radiation budget in coupled
models, J. Clim. , 21 , 866-882.
Grotefendt, K., K. logemann, D. Quadfasel, and S. ronski (1998),
Is the Arctic Ocean warming?, J. Geophys. Res. , 103 , 27,679-
27,687.
Holland, m. m., c. m. Bitz, and B. Tremblay (2006a), Future
abrupt reductions in the summer Arctic sea ice, Geophys. Res.
Lett. , 33 , l23503, doi:10.1029/2006Gl028024.
Holland, m. m., J. Finnis, and m. c. Serreze (2006b), Simulated
Arctic Ocean freshwater budgets in the twentieth and twenty-
first centuries, J. Clim. , 19 , 6221-6242.
Acknowledgments. The authors thank robert Newton and two
anonymous reviews for their help in the manuscript revision. Out-
put fields of the ccSm3 model were obtained from the National
Center for Atmospheric Research (NCAR). NCAR is sponsored by
the National Science Foundation. HadISST1 monthly sea ice fields
were obtained from the uK met Office Hadley centre. Surface en-
ergy flux data from the SHeBA field study were obtained from the
Polar Science Center at the Applied Physics Laboratory, Univer-
sity of Washington. This research was sponsored by the National
Science Foundation under grant Arc-05-20496 and an NSerc
Discovery Grant awarded to the second author. This is contribu-
tion 7196 of the lamont-Doherty earth Observatory of columbia
University.
reFereNceS
Bennike, O. (2004), Holocene sea-ice variations in Greenland: On-
shore evidence, Holocene , 14 , 607-613.
Bitz, c. m., and W. H. lipscomb (1999), An energy-conserving
thermodynamic model of sea ice, J. Geophys. Res. , 104 , 15,669-
15,677.
Bitz, c. m., m. m. Holland, m. eby, and A. J. Weaver (2001),
Simulating the ice-thickness distribution in a coupled climate
model, J. Geophys. Res. , 106 , 2441-2463.
Bourke, r. H., and r. P. Garrett (1987), Sea ice thickness dis-
tribution in the Arctic Ocean, Cold Regions Sci. Technol. , 13 ,
259-280.
Boyd, T. J., m. Steele, r. D. muench, and J. T. Gunn (2002), Par-
tial recovery of the Arctic Ocean halocline, Geophys. Res. Lett. ,
29 (14), 1657, doi:10.1029/2001Gl014047.
Briegleb, B. P., c. m. Bitz, e. c. Hunke, W. H. lipscomb, m.
m. Holland, J. l. Schramm, and r. e. moritz (2004), Scientific
description of the sea ice component of the Community Climate
System Model, version three, NCAR Tech. Note NCAR/TN-
463+STR , 70 pp., Natl. Cent. for Atmos. Res., Boulder, Colo.
carmack, e. c., r. W. macdonald, r. G. Perkin, F. A. mclaugh-
lin, and r. J. Pearson (1995), evidence for warming of Atlan-
tic water in the southern canadian Basin of the Arctic Ocean:
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