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Table 1:

Properties of the simulations and time averaged value of $\alpha $.

Model 		Resolution Re $\alpha $

Re3125 		(128,192,128) 3125 $7.9 \times 10^{-3} \pm 4.5 \times 10^{-4}$
Re6250 (256,384,256) 6250 $5.9 \times 10^{-3} \pm 1.8 \times 10^{-4}$
Re12500 (512,768,512) 12 500 $8.4 \times 10^{-3} \pm 3.8 \times 10^{-4}$

Notes. The errors on $\alpha $ are computed following Longaretti & Lesur (2010): the time history of $\alpha $ is divided in N bins of size $\tau$. $\tau$ is varied between 0.1 and 8 orbits. For each N, the standard deviation $\sigma_N$ is computed according to $\sigma_N=[\Sigma (\alpha_i-\alpha)/N]^{1/2}$, where $\alpha_i$ is the mean value in bin i. For large N, $\sigma_N$ scales like N-1/2. The errors reported on $\alpha $ use that scaling to estimate $\sigma_N$ when $\tau = 40$ orbits, the time duration over which the mean values of $\alpha $ are calculated.


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