Refined similarity writes with universal normalized conditional statistics at high local Reynolds number. Then . The distribution of coarse-grained energy dissipation need not be universal. Refined similarity itself does not prescribe that distribution.
If is Gaussian with variance , normalization gives . Taking predicts . Its eventual negative high-order exponents show that this extrapolation cannot hold for arbitrarily large orders with finite uniform velocity moments.
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