Sensitivity of Arctic Sea Ice Thickness to Intermodel Variations in the Surface Energy Budget - Arctic Sea Ice Decline: Observations, Projections, Mechanisms, and Implications - page 87

and surface energy budget, J. Geophys. Res. , 107 (c10), 8045,
doi:10.1029/2000Jc000705.
randall, d., J. curry, d. Battisti, G. flato, r. Grumbine, S. Hak-
kinen, d. Martinson, r. Preller, J. Walsh, and J. Weatherly
(1998), Status and outlook for large-scale modeling of atmos-
phere-ice-ocean interactions in the Arctic, Bull. Am. Meteorol.
Soc. , 79 , 197-219.
randall, d. A., et al. (2007), climate models and their evaluation,
in Climate Change 2007, The Physical Science Basis: Contribu-
tion of Working Group I to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change , edited by S. Solo-
mon et al., pp. 589-662, cambridge univ. Press, new york.
roe, G. H., and M. B. Baker (2007), Why is climate so unpredict-
able?, Science , 318 , 629-632.
Shine, K. P. (1984), Parameterization of shortwave flux over high
albedo surfaces as a function of cloud thickness and surface
albedo, Q. J. R. Meteorol. Soc. , 110 , 747-764.

thorndike, A. S. (1992), A toy model linking atmospheric thermal
radiation and sea ice growth, J. Geophys. Res. , 97 , 9401-9410.
Vavrus, S. J. (2004), the impact of cloud feedbacks on Arctic cli-
mate under greenhouse forcing, J. Clim. , 17 , 603-615.
Walsh, J. E., V. M. kattsov, W. l. chapman, V. Govorkova, and
t. Pavlova (2002), comparison of Arctic climate simulations by
uncoupled and coupled models, J. Clim. , 15 , 1429-1446.

E. t. deWeaver, center for climatic research, university of
Wisconsin-Madison, 1225 West dayton Street, Madison, WI
53706, uSA. ([e-mail])
M. M. Holland, national center for Atmospheric research,
Boulder, co 80307-3000, uSA.
E. c. Hunke, los Alamos national laboratory, los Alamos,
nM 87545, uSA.