  We study the correlation length of the two-dimensional Ising spin glass with
a Gaussian distribution of interactions, using an efficient Monte Carlo
algorithm proposed by Houdayer, that allows larger sizes and lower temperatures
to be studied than was possible before. We find that the "effective" value of
the bulk correlation length exponent \nu increases as the temperature is
lowered, and, at low temperatures, apparently approaches -1/\theta, where
\theta ~ -0.29 is the stiffness exponent obtained at zero temperature. This
means scaling is satisfied and earlier results at higher temperatures that find
a smaller value for \nu are affected by corrections to scaling.
