Upper or lower bound of Wasserstein-2 metric on Gaussian distribution

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I am constructing an iterative algorithm in which the Wasserstein-2 distance metric for continuous Gaussian distributions is being used. I am trying to find a general upper or lower bound of the metric so that an estimation of number of iteration for convergence can be given. Could somebody tell me where to look for?